cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3640607_d7.v1
title: Additional file 5 of Leveraging protein quaternary structure to identify oncogenic driver mutations

description: Trinary outcomes. A summary for each structure that denotes if there was statistically significant clustering or not when evaluated under tertiary and quaternary methods. Structures that are blank are demarcated as well. (XLSX 96.7 kb)
DOI: 10.6084/m9.figshare.c.3640607_d5.v1
title: Additional file 3 of Leveraging protein quaternary structure to identify oncogenic driver mutations

description: Methodology results. A summary of the clustering outcome for each structure broken out by subunit. (XLSX 393 kb)
DOI: 10.57702/4eqo2cag
title: Training Generative Adversarial Networks via Primal-Dual Subgradient Methods

description: Synthetic data, 2D mixture of Gaussian data, MNIST dataset, CIFAR-10 dataset
DOI: 10.6084/m9.figshare.c.3640607_d4.v1
title: Additional file 4 of Leveraging protein quaternary structure to identify oncogenic driver mutations

description: Quaternary vs tertiary. Shows the p-value along with the number of amino acids (for iPAC and GraphPAC) or amino acid center location (for SpacePAC) for each of the structures deemed significant under each method. (XLSX 61.7 kb)
DOI: 10.6084/m9.figshare.c.3640607_d2.v1
title: Additional file 6 of Leveraging protein quaternary structure to identify oncogenic driver mutations

description: Performance evaluation. In-depth analysis of the quaternary methodologies when compared with PolyPhen-2 and CHASM. (XLSX 41.7 kb)
DOI: 10.57702/vtrerswl
title: 1000 Class MNIST Dataset

description: Augmented MNIST dataset with 1000 classes
DOI: 10.6084/m9.figshare.c.3640607_d1.v1
title: Additional file 2 of Leveraging protein quaternary structure to identify oncogenic driver mutations

description: Structure files. (XLSX 344 kb)
DOI: 10.57702/nlojan2y
title: UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

description: Unpaired image-to-image translation has broad applications in art, design, and scientific simulations. One early breakthrough was CycleGAN that emphasizes one-to-one mappings between two unpaired image domains via generative-adversarial networks (GAN) coupled with the cycle-consistency constraint, while more recent works promote one-to-many mapping to boost diversity of the translated images. Motivated by scientific simulation and one-to-one needs, this work revisits the classic CycleGAN framework and boosts its performance to outperform more contemporary models without relaxing the cycle-consistency constraint.
DOI: 10.6084/m9.figshare.c.3640535_d2.v1
title: Additional file 1: Tables S1â  S7. of MetaPro-IQ: a universal metaproteomic approach to studying human and mouse gut microbiota

description: Table S1. Clinical information of the eligible pediatric volunteers involved in the mucosal-luminal interface sample collection. Table S2. Comparison of peptide and protein identifications between the MetaPro-IQ and matched metagenome approaches. Table S3. Summary of metagenomic sequencing and gene prediction for pediatric mucosal-luminal interface samples. Table S4. Ingredient comparison of high-fat and low-fat diets. Table S5. List of 849 significant proteins responding to the high-fat feeding. Table S6. Best hits of BLASTP alignments against NCBI nr database. Table S7. Names and one-letter codes for identified COG categories. (XLSX 611 kb)
DOI: 10.57702/ga3mrhvd
title: Unpaired image-to-image translation using adversarial consistency loss

description: Unpaired image-to-image translation using adversarial consistency loss.
DOI: 10.57702/oqyxxo6p
title: RDM Dataset

description: The dataset used in this paper for Ring Deconvolution Microscopy (RDM) experiments.
DOI: 10.57702/gswu8olb
title: BSDS100

description: The dataset used for testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.
DOI: 10.57702/59hb22w3
title: Convolutional Sparse Support Estimator Network (CSEN) for Covid-19 Recognition from X-ray Images

description: The proposed approach is based on the CSEN that can be seen as a bridge between Deep Learning models and representation-based methods. CSEN uses both a dictionary and a set of training samples to train direct map from the query samples to the sparse support set of representation coefﬁcients.
DOI: 10.57702/46wpa67l
title: QU-Chest

description: The QaTa-Cov19 dataset contains 6200 X-ray images for Covid-19 recognition.
DOI: 10.57702/96049aaa
title: Semantically conditioned dialog response generation via hierarchical disentangled self-attention

description: Semantically conditioned dialog response generation via hierarchical disentangled self-attention.
DOI: 10.57702/3gszee1c
title: Blind Image Deconvolution

description: The dataset used in the blind image deconvolution using deep generative priors.
DOI: 10.57702/bjjzdiy0
title: Deep Blind Image Super-Resolution

description: The dataset used in the design of a practical degradation model for deep blind image super-resolution.
DOI: 10.6084/m9.figshare.c.3638225_d11.v1
title: MOESM5 of Transcriptomic analysis of the host response to an iridovirus infection in Chinese giant salamander, Andrias davidianus

description: Additional file 5. Enrichment analysis of KEGG PATHWAY and KEGG DISEASE. This additional file showed that differentially expressed genes were enriched in 7 KEGG pathways and 14 KEGG diseases.
DOI: 10.57702/m7qblsti
title: TUH Abnormal EEG Corpus

description: TUH Abnormal EEG Corpus is a subset of the TUH EEG Corpus, which is the world’s largest publicly available database of clinical EEG data. The TUH Abnormal EEG Corpus consists of EEG sessions recorded according to the 10/20 electrode configuration.
DOI: 10.6084/m9.figshare.c.3637727_d8.v1
title: Additional file 4: of High-frequency, precise modification of the tomato genome

description: Annotated sequence of the vector pTC146. (GB 49 kb)
DOI: 10.57702/dsnze92p
title: A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

description: The ATLAS dataset is a large, curated dataset for stroke neuroimaging
DOI: 10.6084/m9.figshare.c.3637727_d6.v1
title: Additional file 5: of High-frequency, precise modification of the tomato genome

description: Annotated sequence of the vector pTC147. (GB 20 kb)
DOI: 10.6084/m9.figshare.c.3637727_d4.v1
title: Additional file 7: of High-frequency, precise modification of the tomato genome

description: Annotated sequence of the vector pTC151. (GB 43 kb)
DOI: 10.6084/m9.figshare.c.3637727_d1.v1
title: Additional file 6: of High-frequency, precise modification of the tomato genome

description: Annotated sequence of the vector pTC150. (GB 28 kb)
DOI: 10.6084/m9.figshare.c.3637727_d2.v1
title: Additional file 10: of High-frequency, precise modification of the tomato genome

description: Annotated sequence of the vector pTC217. (GB 33 kb)
DOI: 10.15468/dl.bjt83b
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-140.72455 67.04881,-140.76036 60.04665,-128.08125 58.61398,-124.49959 60.17201,-133.18513 66.72646,-140.72455 67.04881))",
 "OccurrenceStatus is Present",
 "TaxonKey is Onocosmoecus unicolor (Banks, 1897)"
 ]
}

 The dataset includes 138 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036963-241126133413365/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.3637718_d12.v1
title: Additional file 10: Table S10. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Primers from 14 lncRNAs for PCR testing. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.c.3637718_d10.v1
title: Additional file 9: Table S9. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Enriched GO terms of eigengenes of the M1 module. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3637718_d11.v1
title: Additional file 11: Table S11. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Primers from randomly selected 10 differentially expressed RNAs for qPCR testing. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.c.3637718_d9.v1
title: Additional file 8: Table S8. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: 239 coding genes among eigengenes of the M1 module. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.c.3637718_d7.v1
title: Additional file 6: Table S6. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Differentially expressed transcripts between two N conditions. (XLSX 76 kb)
DOI: 10.6084/m9.figshare.c.3637718_d8.v1
title: Additional file 1: Table S1. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: The 7524 identified intergenic and intronic lncRNAs. (XLSX 555 kb)
DOI: 10.6084/m9.figshare.28035479
title: DATA.xlsxAntibiotics

description: Antibiotics, Knowledge, Attitude, Practice
DOI: 10.6084/m9.figshare.c.3637718_d6.v1
title: Additional file 4: Table S4. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Blast similarity results of lncRNAs and annotated coding genes across related species. (XLSX 489 kb)
DOI: 10.57702/mgs8peyf
title: Lung Lesion Dataset

description: The lung lesion dataset is a collection of clinical and imaging reports used for training and evaluation of lung lesion clinical data extraction models.
DOI: 10.6084/m9.figshare.c.3637718_d4.v1
title: Additional file 2: Table S2. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: The 5481 identified novel coding RNAs. (XLSX 346 kb)
DOI: 10.6084/m9.figshare.c.3637718_d5.v1
title: Additional file 5: Table S5. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Expression information of lncRNAs and annotated coding RNAs. (XLSX 2992 kb)
DOI: 10.6084/m9.figshare.c.3637718_d3.v1
title: Additional file 3: Table S3. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: Annotation results based on known ncRNA database. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.c.3637718_d2.v1
title: Additional file 12: Dataset S1. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: The FASTA-formatted sequences file of identified lncRNAs and the GTF-formatted annotation file of identified lncRNAs. (ZIP 1290 kb)
DOI: 10.6084/m9.figshare.c.3637718_d1.v1
title: Additional file 7: Table S7. of Genome-wide identification and functional prediction of nitrogen-responsive intergenic and intronic long non-coding RNAs in maize (Zea mays L.)

description: The 85 corresponding probes of N-responsive lncRNAs. (XLSX 17 kb)
DOI: 10.15468/dl.4m2ucb
title: Occurrence Download

description: A dataset containing 2453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopodidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2453 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036962-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bk6c68ma
title: EfficientNet-Lite0 dataset

description: The dataset used in the paper is the EfficientNet-Lite0 dataset, which is a variant of the EfficientNet model.
DOI: 10.57702/b3xhpmeh
title: ResNet18 dataset

description: The dataset used in the paper is the ResNet18 dataset, which is a convolutional neural network dataset.
DOI: 10.57702/9jcymwg3
title: GoPro

description: The commonly used benchmark for image deblurring is Go-Pro (Nah, Kim, and Lee 2017), where the input blurry images are synthetic.
DOI: 10.57702/fnjaod1y
title: HIDE

description: A large-scale dataset for human-aware motion deblurring, consisting of 8,422 pairs of blurry and sharp images with 65,784 densely annotated FG human bounding boxes.
DOI: 10.57702/3vvyg4er
title: Cross-Cultural Understanding Benchmark (CCUB)

description: The CCUB dataset is a collection of images and captions that represent different cultures from around the world.
DOI: 10.15468/dl.yrwh39
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "Geometry POLYGON((93.59022 -18.39032,146.90036 -18.39032,146.90036 8.53359,93.59022 8.53359,93.59022 -18.39032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arctictis binturong (Raffles, 1821)"
 ]
}

 The dataset includes 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036964-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/v3ba0c2o
title: Multimodal Learning (MLM) dataset

description: The MLM dataset is a collection of images and captions that represent different cultures from around the world.
DOI: 10.57702/04e2i32v
title: FormAI dataset

description: The FormAI dataset includes 112,000 compilable C code snippets created using the GPT-3.5-turbo model through a dynamic zero-shot prompting method.
DOI: 10.5281/zenodo.14502419
title: Data for "Real-time operator evolution in two and three dimensions via sparse Pauli dynamics"

description: Data for arXiv:2409.03097: T. Begušić & G. Chan, Real-time operator evolution in two and three dimensions via sparse Pauli dynamics (2024).

Contains pruned data used for generating the plots (with plotting scripts) and the raw data with scripts for running the code. The code is available at https://github.com/tbegusic/spd.
DOI: 10.5281/zenodo.14502420
title: Data for "Real-time operator evolution in two and three dimensions via sparse Pauli dynamics"

description: Data for arXiv:2409.03097: T. Begušić & G. Chan, Real-time operator evolution in two and three dimensions via sparse Pauli dynamics (2024).

Contains pruned data used for generating the plots (with plotting scripts) and the raw data with scripts for running the code. The code is available at https://github.com/tbegusic/spd.
DOI: 10.57702/z6klsxqi
title: FalconVulnDB

description: The FalconVulnDB dataset is an aggregated dataset compiled from various public datasets, including SySeVR framework, Draper VDISC, Bigvul, Diversevul, SARD Juliet, and ReVeal datasets.
DOI: 10.57702/l9gsgdti
title: Sticker820K

description: A large-scale Chinese sticker dataset, Sticker820K, which consists of 820k image-text pairs. Each sticker has rich and high-quality textual annotations, including descriptions, optical characters, emotional labels, and style classifications.
DOI: 10.57702/p0c9asyr
title: Regression datasets

description: The dataset used for regression settings, including Ozone, Machine, MPG, Boston, Student, and Abalone.
DOI: 10.57702/38ol80a1
title: NNPDF3.1 dataset

description: The dataset used in this paper for parton distribution functions (PDFs) estimation.
DOI: 10.57702/jw37pke0
title: NNPDF3.1luxQED dataset

description: The dataset used in this paper for parton distribution functions (PDFs) estimation.
DOI: 10.15468/dl.3q5n6g
title: Occurrence Download

description: A dataset containing 3402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drepane Cuvier, 1831"
 ]
}

 The dataset includes 3402 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036965-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/h4azow4v
title: Yukawa Theory Lattice Dataset

description: The dataset used in this paper is a set of lattice simulations of scalar Yukawa theory in (2+1)d.
DOI: 10.57702/irci37bi
title: Amazon Books, Amazon Toys, and Retailrocket

description: The dataset used in the paper is Amazon Books, Amazon Toys, and Retailrocket.
DOI: 10.57702/x0ji3csp
title: Field II dataset

description: The dataset used for training and validation of the proposed method for ultrasound image reconstruction.
DOI: 10.57702/3cnxsoba
title: CIRS 040GSE phantom dataset

description: The dataset used for training and validation of the proposed method for ultrasound image reconstruction.
DOI: 10.57702/dxf8zbow
title: The 2019 Davis Challenge on VOS: Unsupervised Multi-Object Segmentation

description: This paper proposes the Davis 2017 validation set for video object segmentation.
DOI: 10.57702/1lvwqxbh
title: Tennessee-Eastman Process

description: The Tennessee-Eastman process dataset is a chemical process dataset used for fault detection and monitoring.
DOI: 10.57702/7dubs3te
title: CLEVR-Robot Environment

description: A benchmark for evaluating task compositionality and long-horizon tasks through object manipulation, with language serving as the mechanism for goal specification.
DOI: 10.57702/qpujlcey
title: Learning the number of neurons in deep networks

description: Learning the number of neurons in deep networks.
DOI: 10.57702/go4mnr4f
title: DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout

description: The paper proposes a technique for domain adaptation in stacked autoencoders using systematic dropout.
DOI: 10.57702/05d18fuv
title: Deep Learning Models

description: The dataset used in this paper is a set of 20 well-known deep-learning models, including AlexNet, ResNet, VGG, DenseNet, etc.
DOI: 10.57702/x5ywjij9
title: Assessor Parcels Data 2017

description: The dataset consists of real estate properties and high-resolution satellite images of houses in Los Angeles County.
DOI: 10.57702/bxpg6zfy
title: Quantitative Evaluation Dataset

description: A dataset comprising 3000 images for quantitative evaluation of specified region customization with both text and image inputs.
DOI: 10.57702/ex8etjgn
title: EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge

description: EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge
DOI: 10.57702/mikqisib
title: Cell Tracking Challenge

description: The Cell Tracking Challenge is a benchmark for cell tracking and segmentation. It consists of several datasets, including Fluo-N2DH-SIM+, DIC-C2DL-HeLa, PhC-C2DH-U373, Fluo-N2DH-GOWT1, and Fluo-N2DL-HeLa.
DOI: 10.57702/f6sigwt0
title: H01

description: The H01 dataset is a connectomic study of a petascale fragment of human cerebral cortex.
DOI: 10.15468/dl.ccq5zb
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternoptychidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1284 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036966-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wqj3v8xn
title: USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model

description: Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects.
DOI: 10.57702/996ao7pv
title: FAUST Synthetic data set

description: The FAUST Synthetic data set contains 100 shapes which show 10 different people in 10 different poses.
DOI: 10.57702/tsy982d6
title: SHREC 16’ partiality data set

description: The SHREC 16’ partiality data set contains shapes from different classes like dogs and humans.
DOI: 10.57702/m8wepwoe
title: SHREC 19’ different connectivity data set

description: The SHREC 19’ different connectivity data set contains shapes from different classes like humans.
DOI: 10.57702/51vfda3y
title: Sports Commentary Dataset

description: The dataset is a collection of live sports commentaries, including audio and textual data, used to train and evaluate machine learning models for event recognition and classification.
DOI: 10.57702/6114myct
title: Textual Sports Commentary Dataset

description: The textual dataset is a collection of live sports commentaries scraped from various sources, including live score websites and YouTube.
DOI: 10.57702/vvi98pxg
title: U.S. Election Map Dataset

description: The U.S. election map dataset contains demographic information (e.g., median education level and unemployment rate) and election margins of victory during the 2016 presidential election.
DOI: 10.57702/po6igzmg
title: Twitch Social Network Dataset

description: The Twitch social network dataset contains binary variables such as the games played and liked, and streaming habits.
DOI: 10.57702/1j3cpvjy
title: Convolutional Autoencoder Echo State Network (CAE-ESN) for Turbulent Flow Prediction

description: The dataset is a two-dimensional turbulent flow, analyzed using a convolutional autoencoder echo state network (CAE-ESN) for spatiotemporal decomposition and prediction of turbulent flow fields from data.
DOI: 10.57702/iy1fb2nt
title: COVID

description: A publicly available x-ray dataset with COVID v.s. non-COVID labels.
DOI: 10.57702/xrmc8oay
title: Coronary Artery Extraction Dataset

description: A dataset containing 616 ICAs obtained from 210 patients used for training and testing the U-Net 3+ model for automatic extraction of coronary arteries.
DOI: 10.57702/pasm9hac
title: Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction

description: A large public benchmark for morphokinetic parameter prediction in IVF
DOI: 10.57702/vb0gchza
title: Corneal Endothelium

description: A dataset of specular microscopy images of the corneal endothelium for cell segmentation.
DOI: 10.5281/zenodo.14502339
title: Abundant repressor binding sites in human enhancers are associated with fine-tuning of gene regulation

description: 41254 HepG2 enhancers used in the study: list_allenh_fpr1_400bp.HepG2

9149 HepG2 RIE (repressive impact enhancer) enhancers: list_RIEs.HepG2

71965 PAR (positive activity region) identified in HepG2 enhancers: output.PAR_in_allenh.fpr1.HepG2

63643 NAR (negative activity region) identified in HepG2 enhancers: output.NAR_in_allenh.fpr1.HepG2
DOI: 10.5281/zenodo.14502340
title: Abundant repressor binding sites in human enhancers are associated with fine-tuning of gene regulation

description: 41254 HepG2 enhancers used in the study: list_allenh_fpr1_400bp.HepG2

9149 HepG2 RIE (repressive impact enhancer) enhancers: list_RIEs.HepG2

71965 PAR (positive activity region) identified in HepG2 enhancers: output.PAR_in_allenh.fpr1.HepG2

63643 NAR (negative activity region) identified in HepG2 enhancers: output.NAR_in_allenh.fpr1.HepG2
DOI: 10.57702/yjilvkbi
title: Antimicrobial Peptide Database

description: The APD dataset is a collection of antimicrobial peptides. We download 3222 AMPs as D_am (3222 examples). We randomly extract 3,000 examples as validation and 3,000 as the test on D_r and D_s.