cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3600206_d6.v1
title: Additional file 3: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Differential expression output from the p53 mutation study. The results of differential expression (using the R package limma) on the input breast cancer RNA-seq data filtered for genes in the p53-pathway. Note that the contrast called in limma used p53 non-mutated samples as the reference condition, so positive logFC values are upregulated in the mutant condition compared to wildtype, while negative logFC values are downregulated in the mutant condition compared to wildtype. (TSV 33Â kb)
DOI: 10.6084/m9.figshare.c.3600206_d5.v1
title: Additional file 2: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Full table for differential correlation output from the p53 mutation study. The output of running DGCA on the p53 pathway gene set in the breast cancer RNA-seq samples, comparing correlations of these genes with TP53 in non-mutated samples to correlations in p53-mutated samples, using the option to consider only positive correlations in calculate differential correlation between conditions. The “Classes” column indicates the correlation class of each of the genes where, e.g., “+/0” indicates a significant positive correlation in the non-mutated samples and no significant correlation in the p53-mutated samples. Note that the significance for the correlations within each condition is not adjusted for multiple comparisons. 10,000 permutation samples were generated in order to estimate empirical p-values, using a pooled reference distribution approach, from which q-values were calculated. WT = Wildtype, Mut. = Non-silent p53 mutation. (TSV 46 kb)
DOI: 10.6084/m9.figshare.c.3600206_d4.v1
title: Additional file 6: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Differential expression output from the PTEN mutation study. The results of differential expression (using the R package limma) on the input breast cancer RNA-seq data filtered for genes in the PTEN-pathway. Note that the contrast called in limma used PTEN wildtype samples as the reference condition, so positive logFC values are upregulated in the mutant condition compared to wildtype, while negative logFC values are downregulated in the mutant condition compared to wildtype. (TSV 7Â kb)
DOI: 10.57702/yqis4vav
title: Reuters4

description: The dataset consists of newswire articles available in five languages.
DOI: 10.6084/m9.figshare.c.3600206_d3.v1
title: Additional file 5: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Full table for differential correlation output from the PTEN mutation study. The output of running DGCA on the PTEN pathway gene set in the breast cancer RNA-seq samples, comparing correlations of these genes with PTEN in non-mutated samples to correlations in PTEN-mutated samples. The “Classes” column indicates the correlation class of each of the genes where, e.g., “+/0” indicates a significant positive correlation (p
DOI: 10.15468/dl.2fhub2
title: Occurrence Download

description: A dataset containing 2028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Ipomoea batatas (L.) Lam."
 ]
}

 The dataset includes 2028 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037202-241126133413365/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.c.3600188_d8.v1
title: Additional file 2: Table S2. of Divergence and adaptive evolution of the gibberellin oxidase genes in plants

description: GA oxidases in the species analyzed in this study. (XLSX 19Â kb)
DOI: 10.57702/ar11vsv9
title: PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design

description: Engineering design tasks often require synthesizing new designs that meet desired performance requirements.
DOI: 10.6084/m9.figshare.c.3600188_d7.v1
title: Additional file 3: Data S1. of Divergence and adaptive evolution of the gibberellin oxidase genes in plants

description: Alignment of putative GA oxidase sequences. (FASTA 1761Â kb)
DOI: 10.57702/r29x9npz
title: UIUC Airfoil Dataset

description: The UIUC airfoil dataset contains nearly 1,600 real-world airfoil designs.
DOI: 10.6084/m9.figshare.c.3600206_d2.v1
title: Additional file 7: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Differential correlation modules from each method analyzed. Genes identified in each of the differential correlation modules with &gt;25 and &lt;1000 members by DGCA/MEGENA, DICER, and DiffCoEx from the same filtered ER+ vs TNBC RNA expression data set. (TSV 360Â kb)
DOI: 10.6084/m9.figshare.c.3600188_d6.v1
title: Additional file 6: Table S5. of Divergence and adaptive evolution of the gibberellin oxidase genes in plants

description: A. Frequencies of nucleotides; B. Frequencies of codons; C. Nucleotide frequencies by codon sites. (RAR 24Â kb)
DOI: 10.6084/m9.figshare.c.3600206_d1.v1
title: Additional file 4: of DGCA: A comprehensive R package for Differential Gene Correlation Analysis

description: Full table for average differential correlation output from the p53 mutation study. Genes are ranked by the significance of their median difference in correlation for each gene and all other genes in the p53 pathway gene set between non p53-mutated and p53-mutated breast cancer RNA-seq samples. 1000 permutation samples were generated in order to estimate empirical p-values for each gene, which were adjusted by the Benjamini-Hochberg method to control the false discovery rate among this set of genes. (TSV 13Â kb)
DOI: 10.6084/m9.figshare.c.3600188_d5.v1
title: Additional file 1: Table S3. of Divergence and adaptive evolution of the gibberellin oxidase genes in plants

description: MLEs of parameters and sites inferred to be under positive selection for the eight GAox subfamilies data set. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.28038200.v1
title: African cichlid tooth evolution data

description: Tooth complexity classifications for &gt;1000 species of African cichlids, with matching time-calibrated phylogeny, needed to replicate the analyses in Peoples et al.
DOI: 10.57702/0pbutrcu
title: GRICE: A grammar-based dataset for recovering implicature and conversational reasoning

description: A grammar-based dataset for recovering implicature and conversational reasoning.
DOI: 10.6084/m9.figshare.28038200
title: African cichlid tooth evolution data

description: Tooth complexity classifications for &gt;1000 species of African cichlids, with matching time-calibrated phylogeny, needed to replicate the analyses in Peoples et al.
DOI: 10.57702/ln6spcrh
title: New Efficient Visual OILU Markers

description: The dataset is used to develop new efficient visual markers based on the OILU numbering system.
DOI: 10.57702/subco52f
title: Breast Cancer – original

description: The proposed framework uses three benchmark datasets and one synthetic dataset.
DOI: 10.57702/x1xun5qw
title: Liver Disorders (Bupa)

description: The proposed framework uses three benchmark datasets and one synthetic dataset.
DOI: 10.57702/ctauxom5
title: Pima

description: The proposed framework uses three benchmark datasets and one synthetic dataset.
DOI: 10.57702/2zn1i7s2
title: GSE: Group-wise Sparse and Explainable Adversarial Attacks

description: Sparse adversarial attacks fool deep neural networks (DNNs) through minimal pixel perturbations, often regularized by the ℓ0 norm. Recent efforts have replaced this norm with a structural sparsity regularizer, such as the nuclear group norm, to craft group-wise sparse adversarial attacks.
DOI: 10.57702/6bajtl3h
title: SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources

description: A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from multiple sources when direct collection is difficult or costly.
DOI: 10.57702/bgnj2m0d
title: NYUCAD

description: The dataset used for semantic scene completion from a single depth image.
DOI: 10.57702/ygafb0ob
title: EGFR antibody mixtures

description: A dataset of 10 monoclonal antibodies targeting the epidermal growth factor receptor (EGFR) with their activity measured in the human cell line HN5.
DOI: 10.57702/f9fk2qzz
title: Multidomain antibodies against influenza

description: A dataset of multidomain antibodies targeting influenza viruses with their activity measured against a panel of influenza strains.
DOI: 10.6084/m9.figshare.c.3599960_d1.v1
title: Additional file 1: of Comparison of early changes in and factors affecting vault following posterior chamber phakic Implantable Collamer Lens implantation without and with a central hole (ICL V4 and ICL V4c)

description: ICL V4, ICL V4c, respectively. Preoperative parameters, vault, respectively. There are 2 sheets named ICL V4 and ICL V4c, each sheet has 2 excels named preoperative parameters and vault, respectively. All the preoperative parameters of ICL V4 and ICL V4c are recorded in the excel “preoperative parameters” and the postoperative vault and the pupil size and their changes are recorded in the excel “vault”. (ZIP 25 kb)
DOI: 10.57702/ab8abx80
title: ShapeNet-Core-55

description: The dataset used in the paper for cross-domain 3D shape retrieval.
DOI: 10.6084/m9.figshare.c.3599840_d8.v1
title: MOESM5 of Loss of function of folylpolyglutamate synthetase 1 reduces lignin content and improves cell wall digestibility in Arabidopsis

description: Additional file 5: Table S3. mAbs detecting significant differences between wild-type and fpgs1 mutants stem serial extracts.
DOI: 10.6084/m9.figshare.c.3599882_d1.v1
title: Additional file 1: of Potential role of p21 Activated Kinase 1 (PAK1) in the invasion and motility of oral cancer cells

description: The FASTA sequences of differentially expressed genes were examined using GPS2.1 software to analyse the presence of PAK1 phosphorylation sites. Using highly stringent condition, we recognized 26 genes with putative PAK1 phosphorylation sites. (XLSX 10 kb)
DOI: 10.57702/8oqwuaqq
title: MuJoCo AntGoal

description: The dataset used in the paper is the MuJoCo AntGoal environment, which is a variant of the AntGoal environment that uses sparse rewards.
DOI: 10.6084/m9.figshare.c.3599840_d3.v1
title: MOESM3 of Loss of function of folylpolyglutamate synthetase 1 reduces lignin content and improves cell wall digestibility in Arabidopsis

description: Additional file 3: Table S1. Microarray analysis table of fpgs1-1 and wild-type plants in 35-d-old stem of Arabidopsis.
DOI: 10.57702/wduuv4z6
title: Effects of population- and seed bank noise on neutral evolution and eﬃcacy of natural selection

description: The dataset used in this paper is a collection of four models of population dynamics with seed banks.
DOI: 10.57702/pja2ct5b
title: COVID-19 CT scans and corresponding reports

description: COVID-19 CT scans and corresponding reports from a university hospital
DOI: 10.57702/y2mf1u8e
title: Road Network Dataset

description: A dataset for testing the proposed algorithm, consisting of a road network with 1719 vertices and 2280 edges.
DOI: 10.57702/iejx777m
title: STEAM: SOTIF Temporal Error and Failure Model

description: The SOTIF Temporal Error and Failure Model (STEAM) is a refinement of the SOTIF cause-and-effect model, offering a comprehensive system-design perspective.
DOI: 10.57702/nfetnnsn
title: MoSAFE: Model-based SOTIF Analysis of Failures and Errors

description: The Model-based SOTIF Analysis of Failures and Errors (MoSAFE) method is a model-based approach to identify and evaluate Hazardous Behavior Patterns (HBPs) and Hazardous Error Patterns (HEPs) in Automated Driving Systems (ADS).
DOI: 10.57702/usch0htw
title: SOTIF: Safety of the Intended Functionality

description: The SOTIF standard provides a framework for addressing safety concerns in Automated Driving Systems (ADS).
DOI: 10.15468/dl.r4xhqt
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clionaidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037204-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1f7elyej
title: Manifesto Project Corpus

description: The Manifesto Project corpus contains political party manifestos with labels for various categories.
DOI: 10.57702/dyx5pd09
title: MouseLight dataset

description: Janelia MouseLight reconstructions of neurons, including axonal and dendritic branches, somata, and tract values.
DOI: 10.6084/m9.figshare.c.3599060_d5.v1
title: Additional file 2: of Phenotypic evaluation and genetic dissection of resistance to Phytophthora sojae in the Chinese soybean mini core collection

description: Information of SNP markers used in association mapping study. (XLS 175Â kb)
DOI: 10.57702/71618n60
title: GlobalTransition-basedNon-projectiveDependencyParsing

description: GlobalTransition-basedNon-projectiveDependencyParsing
DOI: 10.57702/h2vyault
title: DeterministicDependencyParsingofEnglishtext

description: DeterministicDependencyParsingofEnglishtext
DOI: 10.57702/cr0ej26n
title: DependencyParsing, volume 2 of Synthesis Lectures on Human Language Technologies

description: DependencyParsing, volume 2 of Synthesis Lectures on Human Language Technologies
DOI: 10.57702/ueuwrr70
title: WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting

description: The dataset is used for training and testing the RFF model.
DOI: 10.57702/pvggojmq
title: Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images

description: Elbow fracture diagnosis from X-ray images using medical knowledge-guided deep curriculum learning
DOI: 10.57702/24ovwnej
title: RL-CZSL-ATTR and RL-CZSL-ACT

description: Two large-scale benchmark datasets for reference-limited compositional zero-shot learning (RL-CZSL).
DOI: 10.57702/8pqgpd6v
title: Dependency length minimization

description: Dependency length minimization dataset
DOI: 10.57702/2h0wyrs2
title: Ensemble of Deep Learned Features for Melanoma

description: The system proposed here achieves a strong discriminative power thanks to the combination of multiple descriptors.
DOI: 10.57702/qvpkesa1
title: Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization

description: Dialogue summarization aims to generate a succinct summary while retaining essential information of the dialogue.
DOI: 10.57702/wxtzkn4s
title: Bengali Medical Corpus

description: A comprehensive 46-hour Bengali medical corpus encompassing disease names, symptoms, and symptom severity.
DOI: 10.6084/m9.figshare.c.3598547_d3.v1
title: Additional file 4: Table S3. of Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance

description: Primers information used in this study. (XLSX 9 kb)
DOI: 10.57702/5fjbh93x
title: Multiple Human Parsing (MHP) dataset

description: The Multiple Human Parsing (MHP) dataset is a large-scale dataset for multi-human parsing in the wild. It contains multiple persons captured in real-world scenes with pixel-level fine-grained semantic annotations in an instance-aware setting.
DOI: 10.6084/m9.figshare.c.3598523_d8.v1
title: Additional file 5: Table S5. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Variants in orthologs of GWAS-associated and Mendelian Genes. List of orthologous genes to human genes associated by GWAS studies to obesity, diabetes, and metabolic syndrome, and to Mendelian obesity genes, with variant type and number. (XLSX 74 kb)
DOI: 10.6084/m9.figshare.c.3598523_d7.v1
title: Additional file 9: Table S9. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Genes with pathogenic private indels. List of genes with pathogenic private indels, with SO terms for the corresponding indel. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.c.3598547_d2.v1
title: Additional file 2: Table S1. of Reference genes for accurate gene expression analyses across different tissues, developmental stages and genotypes in rice for drought tolerance

description: List of publicly available microarray data experiments and their samples used for this study. (XLSX 24 kb)
DOI: 10.57702/fto71mnu
title: Fashionista dataset

description: The Fashionista dataset is a dataset for human parsing and contains images of single persons with upright position.
DOI: 10.6084/m9.figshare.c.3598523_d6.v1
title: Additional file 6: Table S6. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Private SNP classification. Classification of private TH SNPs by sets of SO terms associated with the SNP. (XLSX 8 kb)
DOI: 10.57702/dzzi0zik
title: Look-into-Person (LIP) dataset

description: The Look-into-Person (LIP) dataset is a dataset for human parsing and contains images of single persons with varying clothing appearances and diverse viewpoints.
DOI: 10.57702/tj3t36k5
title: ATR dataset

description: Human parsing has recently attracted a huge amount of interests and achieved great progress with the advance of deep convolutional neural networks and large-scale datasets. Most of the prior works focus on developing new structures and auxiliary information guidance to improve general feature representation, such as dilated convolution, LSTM structure, encoder-decoder architecture, and human pose constraints. Although these methods show promising results on each human parsing dataset, they directly use one flat prediction layer to classify all labels, which disregards the intrinsic semantic correlations across concepts and utilize the annotations in an inefficient way.
DOI: 10.6084/m9.figshare.c.3598523_d4.v1
title: Additional file 8: Table S8. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Genes with pathogenic private SNPs. List of genes with pathogenic private SNPs, with SIFT scores and SO terms for the corresponding SNP. (XLSX 64 kb)
DOI: 10.15468/dl.jaa24a
title: Occurrence Download

description: A dataset containing 2126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Xylocopa frontalis (Olivier, 1789), Apis frontalis Olivier, 1789, Xylocopa nitens Lepeletier, 1841, Xylocopa frontalis fabricii Cockerell, 1926)"
 ]
}

 The dataset includes 2126 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037205-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9dmbfrpy
title: CAP: Corpus of Adjective Pairs

description: The CAP dataset is a corpus of adjective pairs used to evaluate adjective order preferences in language models.
DOI: 10.6084/m9.figshare.c.3598523_d3.v1
title: Additional file 2: Table S2. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Classification of TH SNPs by sets of SO terms associated with the SNP. (XLSX 9 kb)
DOI: 10.57702/q45kb0rx
title: The Pile

description: The Pile dataset contains 3.5 million samples of diverse text for language modeling.
DOI: 10.6084/m9.figshare.c.3598523_d2.v1
title: Additional file 3: Table S3. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: Classification of TH indels by sets of SO terms associated with the indel. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3598523_d1.v1
title: Additional file 4: Table S4. of Whole genome sequence analysis of the TALLYHO/Jng mouse

description: PCR primer sequences used for validation of selected variants. (XLSX 56 kb)
DOI: 10.57702/llrxkj7z
title: IIRC-CIFAR

description: The IIRC-CIFAR dataset is a benchmark for evaluating models in the Incremental Implicitly-Reﬁned Classiﬁcation (IIRC) setup.
DOI: 10.57702/5kitrq2v
title: IEEE Reliability Test System (RTS-24)

description: The dataset used in this paper is the IEEE Reliability Test System (RTS-24) and the ERCOT grid data.
DOI: 10.15468/dl.mdryuw
title: Occurrence Download

description: A dataset containing 259881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "Year 2003-2024"
 ]
}

 The dataset includes 259881 records from 2143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037113-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive114081.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114081.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0105925.10fu
title: SH0105925.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive114082.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114082.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.