cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3660437_d1.v1
title: Additional file 5: of Coordinated regulation of acid resistance in Escherichia coli

description: Peaks called and gene expression data for ompR. (XLSX 28.0 kb)
DOI: 10.6084/m9.figshare.c.3660437_d1
title: Additional file 5: of Coordinated regulation of acid resistance in Escherichia coli

description: Peaks called and gene expression data for ompR. (XLSX 28.0 kb)
DOI: 10.57702/myqopi66
title: Behave dataset

description: The Behave dataset contains various scenes with human-object interactions, and is used to evaluate the proposed object-level 3D semantic mapping approach.
DOI: 10.57702/9oens402
title: The inaturalist species classiﬁcation and detection dataset

description: The inaturalist species classiﬁcation and detection dataset.
DOI: 10.57702/5yqm7qbk
title: SegPC-2021: Segmentation of multiple myeloma plasma cells

description: Segmentation of multiple myeloma plasma cells
DOI: 10.57702/3054ms55
title: Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression

description: Over-fitting based image compression requires weights compactness for compression and fast convergence for practical use, posing challenges for deep convolutional neural networks (CNNs) based methods.
DOI: 10.57702/t81eq1m5
title: cBAD

description: Baseline detection in historical documents using Convolutional U-Nets
DOI: 10.57702/llyizl9q
title: DAVIS 2019

description: A benchmark for unsupervised multi-object segmentation.
DOI: 10.57702/l36hfyvj
title: OpenCatalyst 2020 (OC-20)

description: A dataset of catalytic materials for training machine learning models.
DOI: 10.57702/qjqlt1ys
title: Materials Project

description: The dataset used to train the crystal graph convolutional neural networks (CGCNN) model to visualize the compositional and structural similarities between materials in an arbitrary material space.
DOI: 10.15468/dl.z85vwr
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luidiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036956-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/24ayc45f
title: ISIC 2019 and Pediatric Bone Age datasets

description: The ISIC 2019 dataset is a collection of images of skin lesions, and the Pediatric Bone Age dataset is a collection of hand radiographs.
DOI: 10.57702/ekjql3bv
title: Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries

description: A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
DOI: 10.6084/m9.figshare.c.3658967_d1
title: Additional file 4: Table S4. of Transcriptome profiling reveals the genetic basis of alkalinity tolerance in wheat

description: Differentially expressed genes at different time point of alkalinity treatment in SR4. (XLS 4177 kb)
DOI: 10.57702/c05r32c6
title: FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls

description: FashionEngine is an interactive 3D human generation and editing system that enables easy and efficient production of 3D digital humans with multimodal control.
DOI: 10.57702/6v1b6bea
title: UBCFashion

description: UBCFashion is a monocular video dataset containing 500 human videos with natural fashion motions.
DOI: 10.57702/a0um8kbq
title: ViT Tree Heritage Recovery (VTHR) dataset

description: The dataset used in the paper for Model Tree Heritage Recovery (MoTHer Recovery) is the ViT Tree Heritage Recovery (VTHR) dataset.
DOI: 10.57702/sfc7h9wc
title: Llama2 dataset

description: The dataset used in the paper for Model Tree Heritage Recovery (MoTHer Recovery) is the Llama2 dataset.
DOI: 10.6084/m9.figshare.c.3658814_d2
title: Additional file 2: Figure S1. of Functional characterization of Plasmodium berghei PSOP25 during ookinete development and as a malaria transmission-blocking vaccine candidate

description: Predicted B cell epitopes of the PSOP25 protein ( http://tools.iedb.org/bcell ). Below is the protein domain architecture of PSOP25 with signal peptide highlighted in red, low complexity in pink, and transmembrane region in blue. Figure S2. The isotype of anti-rPSOP25 mAb was identified by ELISA using by the SBA Clonotypingâ ˘ System-HRP. The data represent two separate experiments. Error bar shows meanâ  +â  standard deviation. Figure S3. Western blot analysis of P. berghei ookinete lysates with anti-rPSOP25 sera (PolyAb) and anti-rPSOP25 mAb. Lysates were subjected to electrophoresis under non-reducing conditions by SDS-PAGE. Pbs21 mAb was used as positive control; a control mouse serum (PBS) was used as negative control. (ZIP 2413 kb)
DOI: 10.6084/m9.figshare.c.3658814_d2.v1
title: Additional file 2: Figure S1. of Functional characterization of Plasmodium berghei PSOP25 during ookinete development and as a malaria transmission-blocking vaccine candidate

description: Predicted B cell epitopes of the PSOP25 protein ( http://tools.iedb.org/bcell ). Below is the protein domain architecture of PSOP25 with signal peptide highlighted in red, low complexity in pink, and transmembrane region in blue. Figure S2. The isotype of anti-rPSOP25 mAb was identified by ELISA using by the SBA Clonotypingâ ˘ System-HRP. The data represent two separate experiments. Error bar shows meanâ  +â  standard deviation. Figure S3. Western blot analysis of P. berghei ookinete lysates with anti-rPSOP25 sera (PolyAb) and anti-rPSOP25 mAb. Lysates were subjected to electrophoresis under non-reducing conditions by SDS-PAGE. Pbs21 mAb was used as positive control; a control mouse serum (PBS) was used as negative control. (ZIP 2413 kb)
DOI: 10.57702/wexajawd
title: LMSYS ChatBot Arena

description: The dataset used in this paper is a large-scale real-world LLM conversation dataset, which is used to train and evaluate the LMSYS ChatBot Arena model.
DOI: 10.6084/m9.figshare.c.3657113_d9.v1
title: Additional file 6: of Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening

description: Excel file containing the KEGG pathway annotations for the DEGs. (XLSX 40Â kb)
DOI: 10.57702/9mmoae5t
title: Chatbot Arena

description: The dataset used in this paper is a large-scale dataset for evaluating LLMs, which is used to train and evaluate the Chatbot Arena model.
DOI: 10.6084/m9.figshare.c.3657113_d8
title: Additional file 2: of Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening

description: Excel file containing the annotations of the novel genes. (XLSX 178Â kb)
DOI: 10.6084/m9.figshare.c.3657113_d9
title: Additional file 6: of Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening

description: Excel file containing the KEGG pathway annotations for the DEGs. (XLSX 40Â kb)
DOI: 10.6084/m9.figshare.c.3657113_d8.v1
title: Additional file 2: of Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening

description: Excel file containing the annotations of the novel genes. (XLSX 178Â kb)
DOI: 10.6084/m9.figshare.c.3657113_d7.v1
title: Additional file 1: of Comparative transcriptome analysis of two contrasting watermelon genotypes during fruit development and ripening

description: Data (zip file) of the evidence-based novel genes identified in this study. (ZIP 250Â kb)
DOI: 10.57702/auqs018n
title: THUMOS Challenge: Action Recognition with a Large Number of Classes

description: THUMOS Challenge: Action Recognition with a Large Number of Classes.
DOI: 10.57702/h5qpqkox
title: Cornell Grasp Detection Data Set

description: The Cornell Grasp Detection Data Set consists of 1035 images of 280 different objects, with several images taken of each object by different orientations or poses.
DOI: 10.6084/m9.figshare.c.3656849_d1
title: MOESM2 of A molecular genetic toolbox for Yarrowia lipolytica

description: Additional file 2. Protein annotations of FKP355.
DOI: 10.57702/gr35tjaj
title: OLT circuit model

description: The dataset used in the paper is the OLT circuit model, which is a 2-dimensional function with 3 categorical variables.
DOI: 10.6084/m9.figshare.c.3651806_d6.v1
title: Additional file 7 of Drug-target interaction prediction via class imbalance-aware ensemble learning

description: Target feature vectors. This file contains the feature vectors for the targets. (24400 kb TXT)
DOI: 10.6084/m9.figshare.c.3651743_d3.v1
title: Additional file 4: of iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

description: Table of TCGA samples with unknown response. (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.c.3651743_d4.v1
title: Additional file 13: of iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

description: Output of iCAGES drug score on the case study from Wagle et al. (XLSX 77Â kb)
DOI: 10.6084/m9.figshare.c.3651743_d2.v1
title: Additional file 6: of iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

description: Pair-wise Pearson correlation between all predictors and outcome variables in the training dataset. (XLSX 49Â kb)
DOI: 10.6084/m9.figshare.c.3651743_d1.v1
title: Additional file 9: of iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

description: Summary of LR model for iCAGES gene score. (XLSX 38Â kb)
DOI: 10.57702/nwk2n077
title: Custom function

description: The dataset used in the paper is the custom function, which is a 2-dimensional function with 6 categorical variables.
DOI: 10.57702/vdi3nvu8
title: Dgdi: A dataset for detecting glomeruli on renal direct immunoﬂuorescence

description: The dataset used in this paper for renal image analysis, specifically for glomerulus detection.
DOI: 10.57702/0f1w7edt
title: DR(eye)VE

description: The dataset used in the paper is a driving dataset with gaze coordinates, driving speed, and course information.
DOI: 10.57702/yduwvama
title: VR

description: The dataset used in the paper is a virtual reality driving dataset with gaze coordinates, driving speed, and course information.
DOI: 10.57702/ehlifz5h
title: KDEF dataset

description: A dataset of 70 subjects with 35 males and 35 females, each with neutral and six basic expressions.
DOI: 10.57702/kbchjldh
title: Bosphorous dataset

description: A dataset of 105 subjects with up to 35 expressions each.
DOI: 10.57702/kogbmdvf
title: Kandinsky Patterns

description: Kandinsky Patterns are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in artificial intelligence.
DOI: 10.57702/t3jlm3l8
title: Challenge 3 - Blue and Yellow Circles

description: Challenge 3 - Blue and Yellow Circles: Set of all possible Kandinsky Figures consist of equal size blue and yellow circles.
DOI: 10.57702/wb3fso2e
title: FIRE (Fundus Image Registration Dataset)

description: Retinal image registration dataset used for testing the proposed RetinaRegNet model.
DOI: 10.57702/b6ghnots
title: FLoRI21 (Fluorescein-angiography Longitudinal Retinal Image 2021) dataset

description: Fluorescein angiography longitudinal retinal image registration dataset used for testing the proposed RetinaRegNet model.
DOI: 10.6084/m9.figshare.c.3645818_d3.v1
title: MOESM4 of Venlafaxine ameliorates the depression-like behaviors and hippocampal S100B expression in a rat depression model

description: Additional file 4. The data of open-field test.
DOI: 10.6084/m9.figshare.c.3645818_d4.v1
title: MOESM2 of Venlafaxine ameliorates the depression-like behaviors and hippocampal S100B expression in a rat depression model

description: Additional file 2. The data of body weight.
DOI: 10.6084/m9.figshare.c.3645818_d2.v1
title: MOESM1 of Venlafaxine ameliorates the depression-like behaviors and hippocampal S100B expression in a rat depression model

description: Additional file 1. The data of S100B protein and mRNA.
DOI: 10.57702/le1qzwg5
title: LSFG (Laser Speckle Flowgraphy) dataset

description: Laser speckle flowgraphy longitudinal retinal image registration dataset used for testing the proposed RetinaRegNet model.
DOI: 10.6084/m9.figshare.c.3645818_d1.v1
title: MOESM3 of Venlafaxine ameliorates the depression-like behaviors and hippocampal S100B expression in a rat depression model

description: Additional file 3. The data of sucrose preference.
DOI: 10.57702/r1rl91l4
title: COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models

description: COVID-19 classification from CT chest images based on vision transformer models
DOI: 10.57702/l232ex38
title: COVID-CT-Dataset: a CT scan dataset about COVID-19

description: A CT scan dataset about COVID-19
DOI: 10.57702/gno2vb2k
title: MG-TSD

description: The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed Multi-Granularity Time Series Diffusion (MG-TSD) model.
DOI: 10.6084/m9.figshare.c.3645800_d1.v1
title: Additional file 2: of Functional opsin retrogene in nocturnal moth

description: Alignment of sequences used in this study. (PHY 100 kb)
DOI: 10.6084/m9.figshare.c.3645794_d4.v1
title: Additional file 4: of A considerable proportion of CRF01_AE strains in China originated from circulating intrasubtype recombinant forms (CIRF)

description: Risk factors and sampling cities and provinces of sequences in clusters Iâ  III. (XLSX 12Â kb)
DOI: 10.57702/ixe2wjvq
title: KDD-cup

description: The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed MG-TSD model.
DOI: 10.15468/dl.q6byq7
title: Occurrence Download

description: A dataset containing 1282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asteriidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1282 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036957-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/eiijklou
title: Towards Simple and Accurate Human Pose Estimation with Stair Network

description: Human pose estimation is one fundamental yet challenging task to estimate precise human joint coordinates (eyes, ears, shoulders, elbows, wrists, knees, etc.).
DOI: 10.6084/m9.figshare.c.3645770_d4.v1
title: MOESM4 of Live and inactivated Salmonella enterica serovar Typhimurium stimulate similar but distinct transcriptome profiles in bovine macrophages and dendritic cells

description: Additional file 4. Differentially expressed gene lists. Four Excel sheets listing the genes exhibiting differential expression compared to unstimulated cells in DC infected with live S. Typhimurium (DC_L), DC stimulated with inactivated S. Typhimurium (DC_D), Mø infected with live S. Typhimurium (Mø_L) and Mø stimulated with inactivated S. Typhimurium (Mø_D) (FDR ≤ 5%, fold change ≥ 1.8). Genes shown in bold are represented by more than one probe-set. The fold increases and decreases are highlighted in orange and green respectively. Where possible the HGNC gene names and symbols have been used. Transcribed locus denotes an unannotated transcript and their position on the bovine genome relative to neighbouring genes is described.
DOI: 10.57702/gg1c7k7w
title: MPII keypoint dataset

description: The MPII keypoint dataset contains 25,000 images with 40,000 human instances labeled with 16 keypoints.
DOI: 10.57702/daon79n8
title: Customer-level retail transactions dataset

description: Customer-level retail transactions dataset
DOI: 10.57702/1tthfdxv
title: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ

description: Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ.
DOI: 10.57702/flue46o4
title: Valenzise2014, Zerman2017, and UPIQ

description: Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ.
DOI: 10.57702/0c2b93d5
title: Zerman2017 and UPIQ

description: Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ.
DOI: 10.57702/meym1zvj
title: UPIQ

description: Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ.
DOI: 10.57702/ionizue4
title: CAKES: Channel-wise Automatic KErnel Shrinking for Efﬁcient 3D Networks

description: 3D Convolution Neural Networks (CNNs) have been widely applied to 3D scene understanding, such as video analysis and volumetric image recognition.
DOI: 10.57702/8my8bzin
title: Pancreas Tumors dataset

description: The dataset contains 282 cases with both pancreatic tumors and normal pancreas annotations.
DOI: 10.6084/m9.figshare.c.3644798_d2.v1
title: Additional file 2: of Identification of miRNAs and their targets by high-throughput sequencing and degradome analysis in cytoplasmic male-sterile line NJCMS1A and its maintainer NJCMS1B of soybean

description: Figure S1. Known miRNA distribution in NJCMS1A and NJCMS1B. Figure S2. Family member distribution in conserved miRNA families in NJCMS1A and NJCMS1B. Figure S3. Predicted secondary structures of novel miRNAs on the other arm of known pre-miRNAs. Figure S4. Predicted secondary structures of new miRNA members. Figure S5. Predicted secondary structures of novel miRNAs. Figure S6. Predicted secondary structures of high-confidence miRNAs. Figure S7. GO analysis of miRNA targets. Figure S8. Expression levels of miRNA targets in NJCMS1A and NJCMS1B. (ZIP 4771Â kb)
DOI: 10.6084/m9.figshare.c.3644798_d1.v1
title: Additional file 1: of Identification of miRNAs and their targets by high-throughput sequencing and degradome analysis in cytoplasmic male-sterile line NJCMS1A and its maintainer NJCMS1B of soybean

description: Table S1. Summary of small RNA annotations from NJCMS1A and NJCMS1B. Table S2. Known miRNAs identified in NJCMS1A and NJCMS1B. Table S3. Family member distribution in conserved miRNA families. Table S4. Summary of miRNA families found in NJCMS1A and NJCMS1B. Table S5. Novel miRNAs on the other arm of known pre-miRNAs. Table S6. Novel miRNAs identified in NJCMS1A and NJCMS1B. Table S7-1. High-confidence known miRNAs identified in NJCMS1A and NJCMS1B. Table S7-2. High-confidence novel miRNAs identified in NJCMS1A and NJCMS1B. Table S8-1. The up-regulated miRNAs identified in NJCMS1A and NJCMS1B. Table S8-2. The down-regulated miRNAs identified in NJCMS1A and NJCMS1B. Table S9. The targets of miRNAs identified in NJCMS1A and NJCMS1B. Table S10. Targets of novel miRNAs in NJCMS1A and NJCMS1B. Table S11. Primers used in this study. (ZIP 637Â kb)
DOI: 10.57702/du0n0832
title: Affect-in-the-wild

description: Facial expression recognition dataset in the wild
DOI: 10.57702/bwjk4fne
title: DermXDB

description: DermXDB is a skin disease diagnosis explainability dataset which enables benchmarking the explainability performance of ConvNet architectures.
DOI: 10.57702/lw6ee1wh
title: A Comparative Study on Generative Models for High Resolution Solar Observation Imaging

description: The dataset is a subset of Extreme UltraViolet (EUV) images from the SDO AIA instrument, used for high resolution solar observation imaging.
DOI: 10.57702/u5jjqyzl
title: A machine-learning data set prepared from the NASA Solar Dynamics Observatory mission

description: A machine-learning data set prepared from the NASA Solar Dynamics Observatory mission.
DOI: 10.57702/mft9sukc
title: LesionPaste: One-Shot Anomaly Detection for Medical Images

description: LesionPaste is a one-shot anomaly detection framework for medical images that utilizes true anomalies from a single sample and synthesizes artificial anomalous samples.
DOI: 10.6084/m9.figshare.c.3644636_d3.v1
title: Additional file 4: of No diurnal variation of classical and candidate biomarkers of Alzheimerâ  s disease in CSF

description: Raw data. (XLSX 28Â kb)
DOI: 10.57702/ulpfqmhl
title: Horse→Zebra, Edge→Shoe, Cityscapes

description: Image-to-image translation datasets for unpaired and paired image-to-image translation tasks
DOI: 10.57702/44pycbu7
title: Facades, Maps, Summer↔Winter, Apple↔Orange, Photo↔Monet, Photo↔Vangogh

description: Image-to-image translation datasets for unpaired and paired image-to-image translation tasks
DOI: 10.57702/ww48b5is
title: Generative time series models using Neural ODE in Variational Autoencoders

description: The dataset consists of time series data in the form of spring oscillations, solar power production data, and spiral data.
DOI: 10.57702/en2co4wa
title: Spiral Dataset

description: The dataset used in the paper is a synthetic dataset consisting of points in 2D that follow a spiral distribution.
DOI: 10.57702/pquk5u08
title: Solar Power Dataset

description: The dataset consists of real-life solar power production data.
DOI: 10.57702/fj5rjpmh
title: Community Time-activity Trajectory Modeling

description: This dataset is used to model community time-activity trajectory patterns consisting of both social demographic and built environment.
DOI: 10.15468/dl.yf84m4
title: Occurrence Download

description: A dataset containing 4188835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 4188835 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036954-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/262k9vqq
title: Progressive Feedforward Collapse of ResNet Training

description: The dataset used in the paper is a ResNet trained on various datasets, including MNIST, Fashion MNIST, CIFAR10, STL10, and CIFAR100.
DOI: 10.57702/f0757ctn
title: Weather4cast

description: Weather4cast dataset is a multi-sensor weather forecasting competition dataset, containing atmospheric data from Meteosat geostationary meteorological satellites.
DOI: 10.15468/dl.c6amu9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asteiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036958-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/tpkh1f24
title: Stanford Large Movie, Games and Datasets Archive (SMLMDA)

description: Stanford Large Movie, Games and Datasets Archive (SMLMDA) dataset is used for training and evaluation.
DOI: 10.57702/nn5cfdm4
title: PHOENIX-2014, PHOENIX-2014-T, and CSL-Daily

description: Signer-dependent datasets for continuous sign language recognition, including PHOENIX-2014, PHOENIX-2014-T, and CSL-Daily.
DOI: 10.57702/hxxdw50b
title: PHOENIX-2014-SI and CSL

description: Signer-independent dataset for continuous sign language recognition, including PHOENIX-2014-SI and CSL.
DOI: 10.57702/28o1fqnz
title: TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding

description: TreeMix is a compositional data augmentation approach for natural language understanding. It leverages constituency parsing tree to decompose sentences into sub-structures and recombines them to generate new augmented sentences.