cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24943590.v2
title: Artifact for 'Fairness Improvement with Multiple Protected Attributes: How Far Are We?'

description: This artifact corresponds to the paper titled 'Fairness Improvement with Multiple Protected Attributes: How Far Are We?' (https://chenzhenpeng18.github.io/papers/ICSE24.pdf), which has been accepted by ICSE 2024. We are applying for the Available and Reusable badges due to the following reasons: (1) The artifact is hosted on Figshare under the Apache License, with a DOI, making it publicly accessible to other researchers. (2) The artifact provides datasets, scripts, and intermediate results to facilitate the reproduction of our paper. It includes a Docker image and a step-by-step guide on how to run the scripts and obtain results for all our research questions.
DOI: 10.17632/mjhhw3zdwv
title: Dataset for "Content-based image retrieval for the diagnosis of myocardial perfusion imaging using deep convolutional autoencoder"

description: Minimal dataset to reproduce our study results. Python codes used in the study are included.
We showed that deep convolutional autoencoder can extract clinical information from myocardial perfusion imaging.
DOI: 10.6084/m9.figshare.14565759.v1
title: viruses.fasta

description: DNA and retro-transcribing viruses in lower vertebrate hosts based on RNA sequencing
DOI: 10.6084/m9.figshare.17007757.v1
title: Metabolomics reveal the differences in the toxic effects of three Cl-OPEs on earthworm

description: The GC-MS raw data for metabolomics.Manuscript in progress (STOTEN-D-21-23904).<br>
DOI: 10.6084/m9.figshare.20677170.v1
title: DATA.pdf

description: Data are in PDF format. This study focused on the cognitive function of women with type 1 diabetes in pregnancy. We investigated risk factors for a low cognitive score as age, duration of Diabetes, BMI, subclinical hypothyroidism, cardiovascular autonomic neuropathy, the impact of hypo-/hyperglycemia, and C-peptide preservation. Material and methods. Seventy-eight pregnant women with type 1 diabetes (age 31.1±5.4 years, diabetes duration 14.3±8.9 years) were included in the study. Cognitive function was assessed in different domains, such as reasoning, memory, attention, coordination, and perception. Results. The cognitive test values ≥400 were considered high scores, and values &lt;400 were considered low. Relative risks for low scores for general cognitive function are associated with increased BMI &gt;25 kg/m2 2.208 (95% CI 1.116-4.370), HbA1c &gt;6.5% RR 0.774 (95% CI 0.366-1.638), subclinical hypothyroidism RR 3.111 (95% CI 1.140-8.491), impaired cardiovascular autonomic neuropathy RR 2.250 (95% CI 1.000-5.062) CGM glucose values &gt;7.8 RR 1.875 (95% CI 0.757-4.642), and CGM glucose values &lt;3.9 RR 0.938 (95% CI 0.346-2.539). In women with C-peptide preservation in 1st trimester RR 0.297 (95% CI 0.097-0.912, p=0.034). Conclusion. BMI &gt;25 kg/m2, subclinical hypothyroidism, and cardiovascular autonomic neuropathy are associated with increased risk and postprandial C-peptide preservation with reduced risk for cognitive impairment in pregnant women with type 1 diabetes.
DOI: 10.6084/m9.figshare.22083833.v1
title: 电商直播调查问卷

description: 电商直播调查问卷
DOI: 10.6084/m9.figshare.6731309.v1
title: 5-year data set: paired concept counts

description: Paired concept counts from the 5-year data set. 1,790,431 patients in this data set. File format: tab-delimited table; newline terminated. Columns: concept id 1 - Unique numeric code identifying the first of the paired concepts; concept id 2 - Unique numeric code identifying the second of the paired concepts; count - The number of patients with both concepts in this data set; prevalence - The number of patients with both concepts divided by the total number of patients in this data set (1.0 is 100%). Each unique pair of concepts has at most one row, i.e., the same two concepts do not appear in two separate rows. The rows are arranged in ascending order by concept id 1 and concept id 2. Concept id 1 is always the smaller numeric value.
DOI: 10.6084/m9.figshare.7946717.v1
title: gVCF_NA20849

description: 1000 Genomes gVCF mapped to hs37d5 for NA20849. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/2fyxbm56r2
title: Dataset_Journal_Empirical Investigation on Indonesia's External Debt Period 1999–2022

description: This dataset contains data from various sources, such as the Ministry of Finance of the Republic of Indonesia, the Central Bureau of Statistics of the Republic of Indonesia, Bank Indonesia, and the World Bank. The data was used in a journal article titled “Empirical Investigation on Indonesia’s External Debt Period 1999–2022”. The data was formatted using Microsoft Excel and analyzed using EViews Enterprise Edition, a statistical software.
DOI: 10.17632/n5csdjfg3c
title: Obtained raw data by using the reference and the single-serpentine proton exchange membrane single fuel cell testing hardware

description: The attached experimental data of single Polymer Electrolyte Membrane (PEM) fuel cell aim for comparing the characteristics of two different testing hardware, namely the recently developed JRC ZERO∇CELL single cell reference testing hardware and the commonly used by the research community single-serpentine testing setup. Data are presented in form of polarisation curves, temperature, pressure and voltage distributions, as well as electrochemical impedance spectroscopy measurements for a range of current densities. The electrochemical impedance spectroscopy data are also validated using the Kramers-Kronig transformation and presented as Nyquist and Bode plots.
DOI: 10.17632/s4cjj7h5sv
title: Musical rhythm: Onsets/intervals of seven music corpora

description: These files contain onset/interval data (in ms) from a set of seven musical corpora covering different musical styles (Western & non-Western), two of solo- and five of multi-instrument performances. The onset/interval data are suitable for analyses of rhythm (they include mainly percussion/keyboard instruments with crisp onsets). For details on how these onset data were obtained, see file "METHODS4IntervalData_processing of musical corpora.pdf" List of files & data: 1. "IntervalData_CubanSalsa_corpus.mat": Cuban Salsa & Son, multi-instrument music, original recordings from the publicly available Interpersonal Entrainment in Music Performance (IEMP) corpus (https://osf.io/37fws/). Two variables: "CubanSalsa_intervals_ms": vector of onset-onset intervals, all instruments separate; "CubanSalsa_INSTRUMENTSCOMBINED_intervals_ms": vector of onset-onset intervals for all instruments combined (for details, see file "METHODS4IntervalData_processing of musical corpora.pdf") 2. "IntervalData_MalianJembe_corpus.mat": Malian Jembe, multi-instrument music, from IEMP corpus (https://osf.io/y5jxm/). Two variables: "MalianJembe_intervals_ms": onset-onset intervals, instruments separated; "MalianJembe_INSTRUMENTSCOMBINED_intervals_ms": onset-onset intervals, instruments combined (see above) 3. "IntervalData_NorthIndianRaga_corpus.mat": North Indian (Hindustani) Raga, multi-instrument, original recordings from the IEMP corpus (https://osf.io/3cmg4/). Two variables: "NorthIndianRaga_intervals_ms": onset-onset intervals, instruments separated; "NorthIndianRaga_INSTRUMENTSCOMBINED_intervals_ms": onset-onset intervals, instruments combined (see above). 4. "IntervalData_TunisianStambeli_corpus.mat": Tunisian Stambeli, multi-instrument music, original recordings from the IEMP corpus (https://osf.io/qaxdy/). Two variables: "TunisianStambeli_intervals_ms": onset-onset intervals, instruments separated; "TunisianStambeli_INSTRUMENTSCOMBINED_intervals_ms": onset-onset intervals, instruments combined (see above). 5. "IntervalData_UruguayanCandombe_corpus.mat": Uruguayan Candombe, multi-instrument music, original recordings from the IEMP corpus (https://osf.io/4q9g7/). Two variables: "UruguayanCandombe_intervals_ms": onset-onset intervals, instruments separated; "UruguayanCandombe_INSTRUMENTSCOMBINED_intervals_ms": onset-onset intervals, instruments combined (see above). 6. “IntervalData_PianoBach_corpus.mat”: Western piano (Bach) solo performances, from publicly available MAESTRO dataset (https://arxiv.org/abs/1810.12247). One variable: "PianoBach_intervals_ms": vector of onset-onset intervals. 7. “IntervalData_PersianZarb_corpus.mat” Zarb solo playing by 5 performers from commercial recordings. One variable: "PersianZarb_intervals_ms": vector of onset-onset intervals.
DOI: 10.6084/m9.figshare.14226320.v1
title: 19510767.fastq.gz

description: WGS of canine stool microbiome
DOI: 10.6084/m9.figshare.28217330.v1
title: Raw data about trofinetide

description: Raw data about trofinetide
DOI: 10.17632/9ygk4bgkfr
title: Nuclear mass parameters and moments of inertia in a folded-Yukawa mean-field approach

description: Collective moments of inertia as well as quadrupole and octupole mass parameters are calculated in the perturbative cranking approximation using the folded-Yukawa mean-field potential written in Cartesian coordinates. The resulting single-particle Hamiltonian is required, as a minimal symmetry, to be invariant under z-signature and time-reversal transformations. The deformation of the nucleus is defined through a shape parametrization in cylindrical coordinates, with the so-called Funny–Hills and Trentalange–Koonin–Sierk shapes as typical and performant examples. To take pairing correlations into account, the standard set of BCS equations is solved with an approximation of constant pairing strength. The numerical program determining the quadrupole–octupole mass tensor and the moments of inertia, written in Fortran, is constructed according to the here presented study as an extension and application of the “yukawa” code for the diagonalization of the folded-Yukawa mean-field potential in the basis of a harmonic-oscillator in Cartesian coordinates, published in this journal in 2016.
DOI: 10.6084/m9.figshare.12812174.v1
title: Gene database of Bacteroides thetaiotaomicron strain 7330

description: <i>Bacteroides thetaiotaomicron</i> is a Gram-negative obligate anaerobe that is a major inhabitant of the human gut. Known for its unique ability to digest complex polysaccharides from plants, the bacterium plays important roles in aiding human digestion and extraction of building blocks and energy from food. However, the bacterium could also become an opportunistic pathogen when displaced from its natural habitat. This work sought to provide fundamental information about the genetic repertoire of <i>B. thetaiotaomicron</i> strain 7330 by parsing its annotated genome sequence from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in fundamental and applied microbiology research seeking to explore the metabolic basis of the physiological role of the bacterium in the gut microbiome as well as possible ways in which its genetic repertoire could be exploited in biotechnology.
DOI: 10.6084/m9.figshare.13148762.v1
title: Metadata record for: A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state

description: This dataset contains key characteristics about the data described in the Data Descriptor A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.14291069.v3
title: Ocimum bacilicum (Kemangi) Intervention on powder and microencapsulated Spirulina platensis and its Bioactive Molecules

description: The following data are the results of the analysis of Ocimum bacilicum intervention on Spirulina platensis against bioactive compounds
DOI: 10.6084/m9.figshare.22662094.v1
title: Extended Data 2 from "Broadly applicable protein design with RoseTTAFold Diffusion".

description: This contains design models and AlphaFold2 predictions, along with sequences and associated data, for all designs in the paper.
DOI: 10.6084/m9.figshare.28640018.v1
title: Supplementary Material for: An evolutionary loss of parental care in stickleback is associated with differences in the activity, but not the number, of neuropeptidergic neurons in the preoptic area

description: Introduction: A central question about the evolution of social behavior is how extensive diversity can arise when behaviors depend on shared neural, molecular, and hormonal mechanisms. Comparing close relatives can offer insights into which components of shared mechanisms are most evolvable. Methods: We discriminate between two nonexclusive hypotheses by which conserved neural mechanisms might evolve to generate differences in social behavior: changes in the number or activity of neurons. We test these hypotheses in two recently diverged ecotypes of threespine stickleback (Gasterosteus aculeatus); the common ecotype provides parental care, while the white ecotype does not. We used double-label fluorescent immunohistochemistry with pS6, a marker of transcriptionally active neurons, to quantify the number and activity of two preoptic neuropeptidergic cell types that affect parental care across vertebrates: galanin and oxytocin. Results: Ecotypes did not differ in the overall activity of the preoptic area or the number of galanin and oxytocin neurons but did differ in the activity of galanin and oxytocin neurons. The activity of these neurons changed across reproductive stages in the common but not the white ecotype. Activity peaked after mating in commons when males began to care for their offspring, suggesting that changes in the activity of these specific preoptic neurons are required to transition from courtship to parenting. Conclusion: Overall, our study suggests that rapid behavioral evolution occurred via changes in the activity but not the number of specific preoptic neuropeptidergic neurons.
DOI: 10.17632/tr5n7k7rht
title: Supplementary Materials for: Thermal performance prediction of outdoor swimming pools

description: Supplementary Materials 1 cover the derivation of our forced convection heat and mass transfer model for the swimming pool. Supplementary Materials 2 cover the calculation methodology for the shading factor of the surrounding podium around the pool.
DOI: 10.6084/m9.figshare.10298396.v2
title: GWAS facial shape variation in humans

description: Summary statistics of a GWAS meta-analysis of facial shape phenotypes involving data from four cohorts of European descent (Rotterdam Study from the Netherlands, TwinsUK Study from the UK, ALSPAC Study from the UK, and Pittsburg Study from the USA, N=10,115) including 7,029,494 autosomal single nucleotide polymorphisms (SNPs) and 78 facial distance phenotypes obtained from 13 facial landmarks. See and cite publication <b>Xiong et al. Novel genetic loci affecting facial shape variation in humans. <i>eLIFE</i> 2019 upcoming.</b>
DOI: 10.6084/m9.figshare.13416311.v1
title: Recognizing Figure Labels in Patents [AAAI 2021 SDU Workshop]

description: * 100patents_design_original_png.zip: 100 figures extracted from 100 US DESIGN patents, original (unrotated), PNG format * 100patents_design_original-tif.zip: 100 figures extracted from 100 US DESIGN patents, original (unrotated), TIF format* 100patents_design_rotated-tif.zip: 100 figures extracted from 100 US DESIGN patents, rotated to upright if needed TIF format* 100patents_design_rotated-png.zip: 100 figures extracted from 100 US DESIGN patents, rotated to upright if needed, PNG format* all_results_labels.xml: ground truth labels and labels extracted by 8 tools: SWT, Adobe Acrobat, EAST, Amazon Textract, Tesseract, Google Vision API, Abbyy, and the alpha-shape method.<br>For details, see the following paper: Gong Ming, Xin Wei, Diane Oyen, Jian Wu, Martin Gryder, and Liping Yang. "Recognizing Figure Labels in Patents." In: AAAI-2021 workshop on Scientific Document Understanding (SDU). Virtual Event.
DOI: 10.6084/m9.figshare.5188273.v4
title: The Reconstruction of 2,631 Draft Metagenome-Assembled Genomes from the Global Oceans

description: Data for 2,631 draft genomes (TOBG-GENOMES.tar.gz) generated using the Tara Oceans microbial metagenomic data sets - additionally includes:SECONDARY_CONTIGS.province.tar.gz -- SECONDARY contigs by provinceTOBG-READCOUNT.tar.gz -- read count values of each sample against SECONDARY contigsTOBG-BINS.tar.gz -- genome bins &lt;50% complete (15,557 bins with &gt;5 contigs)PRIMARY_CONTIGS.province.tar.gz -- PRIMARY contigs by province and sampleLarger files have been split - to restore the full tar ball, use cat to combine. E.G. cat PRIMARY_CONTIGS.MEDITERRANEAN0* &gt; PRIMARY_CONTIGS.MEDITERRANEAN.tar.gz cat And then decompressIndian Monsoon = 1 filesArabian Sea = 1 fileRed Sea = 1 fileMediterranean = 2 filesEast Africa Coastal = 2 filesChile-Peru Coastal = 2 filesNorth Pacific = 2 filesNorth Atlantic = 4 filesSouth Atlantic = 4 filesSouth Pacific = 7 files p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: #ffffff} span.s1 {font-variant-ligatures: no-common-ligatures} p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 11.0px Menlo; color: #000000; background-color: #ffffff} span.s1 {font-variant-ligatures: no-common-ligatures}
DOI: 10.17632/c5x35tmj5v
title: NIH-Chest_Xray_Retrirval

description: The dataset is sourced from the publicly available NIH Chest X-ray database, which contains 112,120 frontal-view X-ray images from 30,805 unique patients. Each image is labeled with one or more of 14 common thoracic pathologies identified in the associated radiological reports. From this dataset, we selected 51,480 images representing the 13 most frequent pathologies, including Atelectasis, Consolidation, Infiltration, Pneumothorax, Edema, Emphysema, Fibrosis, Effusion, Pneumonia, Pleural thickening, Cardiomegaly, Nodule, and Mass. These images are organized into three distinct sets: a training set with 38,610 images, a gallery set with 10,296 images, and a query set with 2,574 images. All images are stored in `.npy` format. The training set is used during training, while the gallery and query sets are used during inference.
DOI: 10.17632/gphwn7sy5n
title: Data for: Travel datasets to analyse the impacts of Vehicle-to-Home operation and multi-location charging of electric vehicles on household energy cost

description: The datasets included here have been used in the research paper titled “Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimization of households with photovoltaic system and battery energy storage,” published in the 2024 issue of the Renewable Energy journal, Volume 221, Elsevier. Detailed descriptions of the datasets and the methods used to create them can be found in a paper titled “Travel datasets to analyze the impacts of Vehicle-to-Home operation and multi-location charging of electric vehicles on household energy cost,” which has been submitted to Elsevier’s Data-in-Brief journal. It is currently under review.
DOI: 10.6084/m9.figshare.14601306.v1
title: Math rating (PageRank)

description: Rating of mathematicians obtained using the PageRank algorithm
DOI: 10.6084/m9.figshare.25108073.v3
title: Data files for genomes of ant Odontoponera transversa and Camponotus friedae

description: This dataset contains files that are part of a manuscript describing the genome sequence of the two ants.
DOI: 10.6084/m9.figshare.26852755.v2
title: <b>Co-Existence Features Derived from </b><b>CICMalDroid 2020</b>

description: This dataset presents a collection of co-existence features extracted from the original <b>CICMalDroid 2020</b> using the FP-Growth algorithm. The co-existence features are combinations of two features that frequently occur together within the dataset.
DOI: 10.60893/figshare.aml.28560635.v1
title: ValidationData

description: Validation dataset
DOI: 10.6084/m9.figshare.21441567.v2
title: Structual variations of S. americanum

description: Structural variation information of S. americanum in VCF format using SP1102 as the reference.
DOI: 10.6084/m9.figshare.22665424.v1
title: Supplementary Material for: Complete Response of Rare Sarcomatoid Upper Tract Urothelial Carcinoma Variant : Case Report and Literature Review

description: Infiltrating urothelial carcinoma sarcomatoid variant is a rare variant of urothelial carcinoma. We report a case of a 68-year-old female with a history of hematuria. CT Scan with contrast showed a mass in the 1/3 distal of the right ureter. The biopsy result showed a high-grade infiltrating urothelial carcinoma. A radical nephroureterectomy (RNU) was performed but at the follow-up after 3 months, there was a recurrent mass and Gemcitabine-Cisplatin chemotherapy was given. Since a high-grade infiltrating urothelial carcinoma sarcomatoid variant was an aggressive tumor, we need to give more attention to evaluating this tumor.
DOI: 10.6084/m9.figshare.25688532.v1
title: EggNOG to Gene Ontology annotations

description: Gene Ontology (GO) annotations from EggNOG mapper<sup> </sup>(v2.1.6) and the EggNOG 5.0 database, for the orthologous groups (OG) that were detected in this manuscript
DOI: 10.6084/m9.figshare.6626792.v2
title: NODDIDA estimation codes

description: Matlab codes to estimate NODDIDA parameters using population-based prior. The code (fig3a.m) reads data from one pixel of the corpus callosum, creates a sub-dataset with clinically feasible measurements and applies seven estimation methods to estimate NODDIDA model parameters. The methods are described in detail in the manuscript below.<br>Article: Mozumder, M, Pozo, JM, Coelho, S, Frangi, AF. Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA. <i>Magn Reson Med</i>. 2019; 00: 1– 13. https://doi.org/10.1002/mrm.27831
DOI: 10.6084/m9.figshare.7012202.v1
title: Update 2018 - The future cost of electrical energy storage based on experience rates

description: This dataset compiles cumulative capacity and product price data for electrical energy storage technologies, including the respective regression parameters to construct experience curves. <br><br>The update includes new data from up to 2017. <br><br>Update to paper: O. Schmidt, A. Hawkes, A. Gambhir & I. Staffell. The future cost of electrical energy storage based on experience rates. Nat. Energy 2, 17110 (2017).<br>Link to the original paper with original dataset: http://dx.doi.org/10.1038/nenergy.2017.110<br>