cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/deuj7hz1
title: ConStyle v2: A Strong Prompter for All-in-One Image Restoration

description: A strong prompter for all-in-one image restoration
DOI: 10.57702/o13ljp80
title: Mix Degradations datasets

description: A dataset for image restoration
DOI: 10.57702/1kx9r2kp
title: FFHQ, AFHQ-Cat, and LSUN-Church

description: The dataset used in the paper is a large dataset of images, including FFHQ, AFHQ-Cat, and LSUN-Church.
DOI: 10.57702/decnu1wl
title: Cluttered MNIST and CIFAR-10

description: The dataset used in the paper is Cluttered MNIST and CIFAR-10.
DOI: 10.57702/i761evn1
title: ImageNet-50/100/200

description: The dataset used in the paper is not explicitly mentioned, but it is implied to be ImageNet-50/100/200 for ImageNet-50/100/200 classification.
DOI: 10.57702/0wdt1pxf
title: ImageNet-C/C

description: The dataset used in the paper is not explicitly mentioned, but it is implied to be ImageNet-C/C for ImageNet-C/C classification.
DOI: 10.57702/980uqjcg
title: ImageNet-R/A/Sk

description: The dataset used in the paper is not explicitly mentioned, but it is implied to be ImageNet-R/A/Sk for ImageNet-R/A/Sk classification.
DOI: 10.57702/5pvmsmj7
title: HDR-HexPlane

description: A dataset for dynamic HDR scene representation, capturing images with varying exposures and nonuniform illumination.
DOI: 10.57702/7kv69m9c
title: SceneComposer: Any-Level Semantic Image Synthesis

description: A new framework for conditional image synthesis from semantic layouts of any precision levels, ranging from pure text to a 2D semantic canvas with precise shapes.
DOI: 10.57702/9n4r4x0n
title: CBIS-DDSM

description: The CBIS-DDSM dataset consists of scanned film mammograms with regions of interest (ROIs) of lesions identified on mammograms.
DOI: 10.57702/5n00l3tl
title: WSJ

description: The WSJ corpus is a large vocabulary continuous speech recognition dataset. It contains 36416 sequences, representing around 80 hours of speech.
DOI: 10.57702/e5spaflc
title: Single Stream Parallelization of Recurrent Neural Networks for Low Power and Fast Inference

description: Single stream parallelization of recurrent neural networks for low power and fast inference
DOI: 10.57702/ccytp90i
title: Kempten Dataset

description: The Kempten dataset is built with the Sentinel-1 SAR as map and Google Map Satellite as image observations.
DOI: 10.57702/7rewkows
title: Person Search in Media (PSM)

description: A large-scale dataset for Person Search in Media (PSM), which provides both body and head annotations.
DOI: 10.57702/g8r721y2
title: Multi-label Transformer

description: The proposed Multi-label Transformer architecture is designed for multi-label image classification, combining pixel attention and cross-window attention to better excavate the transformer's activity.
DOI: 10.57702/jf9z6k5m
title: AAA Dataset

description: A dataset of pre-operative 3D CT scans and corresponding intra-operative 2D fluoroscopic images of AAA.
DOI: 10.57702/ltkgzilf
title: Phantom Data

description: The dataset is used to test the performance of the machine learning model for strain estimation and frame selection in ultrasound elastography.
DOI: 10.57702/9xljsjib
title: Audio Deepfake Perceptions in College Going Populations

description: This study assesses audio deepfake perceptions among college students from different majors.
DOI: 10.57702/ooiuzihu
title: Feature-Proxy Transformer for Few-Shot Segmentation

description: Few-shot segmentation aims at performing semantic segmentation on novel classes given a few annotated support samples.
DOI: 10.57702/ze1e1o1a
title: User Reported Scenarios (URS) dataset

description: The User Reported Scenarios (URS) dataset is a collection of real-world use cases with 15 LLMs from a user study with 712 participants from 23 countries.
DOI: 10.57702/e26h7uv3
title: IPC-SHM 2020 cable tension dataset

description: Opensource cable tension dataset of an in-service cable-stayed bridge released in 1st IPC-SHM
DOI: 10.57702/v350hbph
title: Dialogue Self-Play for Task-Oriented Conversational Agents

description: The dataset is constructed using a dialogue self-play approach, where synthetic dialogues are generated to grant that phenomena uninvestigated are present only at test time and not at training time.
DOI: 10.57702/f0oy9f8f
title: LOCA: LOcal Conformal Autoencoder

description: The LOCA dataset is a collection of distorted neighborhoods of a ﬁxed size of data samples.
DOI: 10.57702/pyd0pkxf
title: Break-A-Scene: Extracting Multiple Concepts from a Single Image

description: The dataset is created by augmenting a single input image with masks that indicate the presence of target concepts. The masks can be provided by the user or generated automatically by a pre-trained segmentation model.
DOI: 10.17632/mptbtfbx2g.1
title: Traditional energy company ESG performance impact on green innovation

description: Traditional energy company ESG performance impact on green innovation
DOI: 10.57702/zvn8kfkw
title: scRNA-seq

description: The scRNA-seq dataset is a collection of single-cell RNA sequencing data.
DOI: 10.57702/bc6vocm5
title: FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

description: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation from a single RGBD image
DOI: 10.57702/qxcjo8uf
title: SEMANTICMEMES

description: The SEMANTICMEMES dataset of 3.8M images clustered by their semantic function.
DOI: 10.57702/fmbb5oji
title: Sentinel-2 Sea-Ice Classiﬁcation

description: Sentinel-2 sea ice classification dataset for training a deep learning model to classify polar sea ice as thick/snow-covered, young/thin, or open water.
DOI: 10.57702/4u894jsy
title: NSL-KDD dataset

description: The NSL-KDD dataset is a comprehensive collection of network traffic data containing both normal and various attack instances.
DOI: 10.57702/b9swyk5u
title: Primary school network dataset

description: The dataset used in this paper is a real-world dataset containing 2 days of temporal contact among 232 children from 10 school classes.
DOI: 10.57702/7bvmae0m
title: Hive Temperature Dataset

description: The dataset used in the paper is a collection of temperature sequences from beehives, including external, peripheral, and core temperatures.
DOI: 10.57702/shj85pj9
title: On Anomalous Diffusion of Devices in Molecular Communication Network

description: A 1-D mobile anomalous-diffusive channel, where transmitter and receiver can also move anomalously, is considered.
DOI: 10.57702/mf1lnsy7
title: Libcity: An open library for traﬃc prediction

description: Libcity: An open library for traﬃc prediction.
DOI: 10.57702/88nfm3eg
title: NeRF-Art

description: A 360-degree scene from the NeRF-Art dataset.
DOI: 10.57702/f7ukfgkf
title: Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

description: Dataset for garment pattern estimation
DOI: 10.57702/vccdpall
title: Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation

description: A method of data generation in simulation using 3D synthetic environments and CycleGAN domain transfer.
DOI: 10.57702/wjfr6tqu
title: NYU-Depth V2

description: The NYU-Depth V2 dataset contains pairs of RGB and depth images collected from Microsoft Kinect in 464 indoor scenes.
DOI: 10.57702/r3vbxxum
title: Unreal Engine

description: Unreal Engine dataset is a synthetic dataset for monocular depth estimation.
DOI: 10.57702/s88tk8tk
title: House Rooms

description: House Rooms dataset is a synthetic dataset for monocular depth estimation.
DOI: 10.57702/3262rl4j
title: Xia et al. (2015) dataset

description: The dataset proposed by Xia et al. (2015) contains six content classes and eight different styles for each type of motion.
DOI: 10.57702/la1l6f8u
title: GSO dataset

description: The GSO dataset is a collection of 3D objects from different categories.
DOI: 10.57702/0wvdlvzz
title: U2-Net: Going deeper with nested U-structure for salient object detection

description: U2-Net: Going deeper with nested U-structure for salient object detection.
DOI: 10.57702/iphmaywg
title: Extraction of airways from CT (EXACT’09)

description: Extraction of airways from CT (EXACT’09).
DOI: 10.57702/47ltgfju
title: Objectron

description: Objectron dataset contains 9 categories of objects with 15k video clips and over 4M frames annotated with 3D object bounding boxes, camera poses, sparse point clouds, and surface planes.
DOI: 10.57702/3ldddrtr
title: Stable Diffusion Prompts

description: The dataset used in the paper for text-to-image generation and style transfer tasks.
DOI: 10.57702/wuxb2m2a
title: LINEMOD

description: LINEMOD dataset is a widely used instance-level 6D object pose estimation dataset which consists of 13 different objects with significant shape variation.
DOI: 10.57702/uqwf5426
title: COMA Dataset

description: The COMA dataset consists of 20K+ well registered 3D face shapes with 5,023 vertices for each shape.
DOI: 10.57702/x9j6n31a
title: DFAUST Dataset

description: The DFAUST dataset contains 40K+ dynamic human body shapes with all shapes aligned to a common reference topology with 6,890 vertices.
DOI: 10.57702/ze1ov48m
title: SYNHAND Dataset

description: The SYNHAND dataset contains 5 million synthetic hand meshes with varying hand shapes and poses.
DOI: 10.57702/ixpt50cl
title: 3D ConvNet dataset

description: The dataset used in this paper is a 3D ConvNet dataset, which is a collection of 3D images and their corresponding labels.
DOI: 10.57702/uejba8ld
title: Electric Vehicles coordination for grid balancing using multi-objective Harris Hawks Optimization

description: The dataset used in this paper for EVs coordination for grid balancing using multi-objective Harris Hawks Optimization
DOI: 10.57702/0xm6pcz3
title: kneeMRI dataset

description: The kneeMRI dataset is a collection of sagittal proton-density weighted knee scans.
DOI: 10.57702/abnk1ei8
title: CC3D

description: A new 3D dataset, CC3D, a collection of 50k+ aligned pairs of meshes, a CAD model and its virtually 3D scanned counterpart with corresponding scanning artifacts.
DOI: 10.57702/s3taor0a
title: NIH ChestX-ray14 dataset

description: A dataset of real chest X-ray images for testing the bone structure extraction and enhancement model.
DOI: 10.57702/9ltwzxsw
title: DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

description: Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images.
DOI: 10.57702/tpcyyblb
title: Benchmarking single-image dehazing and beyond

description: Benchmarking single-image dehazing and beyond
DOI: 10.57702/rx89qiv0
title: From synthetic to real: Image dehazing collaborating with unlabeled real data

description: From synthetic to real: Image dehazing collaborating with unlabeled real data
DOI: 10.57702/avhkbl71
title: Contrastive learning for compact single image dehazing

description: Contrastive learning for compact single image dehazing
DOI: 10.57702/3xe3zo87
title: Multi-atlas labeling beyond the cranial vault

description: A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
DOI: 10.57702/7rtb34p9
title: Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems

description: The proposed attack is based on transfer-based and score-based methods and is both gradient-free and query-efficient.
DOI: 10.57702/3mwtk19z
title: AATTCT-IDS

description: A benchmark Abdominal Adipose Tissue CT Image Dataset (AATTCT-IDS) for image denoising, semantic segmentation, and radiomics evaluation.
DOI: 10.57702/xjq7zmjy
title: HIFA: HIGH-FIDELITY TEXT-TO-3D GENERATION

description: The dataset used in the paper for text-to-3D generation, generated using pre-trained text-to-image diffusion models.
DOI: 10.57702/yqfycu5z
title: DriveU Trafﬁc Light Dataset

description: The DriveU Trafﬁc Light Dataset is a dataset of annotated trafﬁc lights with various features, including color, directionality, and occlusion level.
DOI: 10.57702/8x3actop
title: LISA Amazon-MLSL Vehicle Attributes (LAVA) Dataset

description: The LISA Amazon-MLSL Vehicle Attributes (LAVA) dataset is a dataset of annotated trafﬁc lights with various features, including color, directionality, and occlusion level.
DOI: 10.57702/pnkbejdk
title: CMUDoG

description: CMUDoG is a knowledge grounded conversation dataset with two speakers conversing based on movie Wikipedia articles.
DOI: 10.57702/qrfwyszh
title: Deep unsupervised learning using nonequilibrium thermodynamics

description: Deep unsupervised learning using nonequilibrium thermodynamics
DOI: 10.57702/1h5kux85
title: WebPhoto

description: WebPhoto dataset for image restoration
DOI: 10.57702/zbhzikj4
title: Crowdsensing-based Road Damage Detection Challenge (CRDDC2022)

description: Roadway damage data collection using Google Street View and YOLOv7 for automatic road damage detection and classification.
DOI: 10.57702/7ql4pmoe
title: Breast Cancer Diagnosis Dataset

description: The dataset used in this study for breast cancer diagnosis using biophysical ultrasound features utilizing machine learning.
DOI: 10.57702/n7rjl5c2
title: Concatenated Deceptive Traps

description: The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function.
DOI: 10.57702/11hkz14x
title: NK Landscapes

description: The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function.
DOI: 10.57702/g5ewowhd
title: HIFF Function

description: The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function.
DOI: 10.57702/tqjvo4au
title: LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop

description: LSUN Church dataset is a large-scale image dataset containing 30,000 images of churches.
DOI: 10.57702/tuq85ufq
title: The Cityscapes Dataset for Semantic Urban Scene Understanding

description: Cityscapes dataset is a large-scale urban scene dataset containing 30,000 images of street scenes.
DOI: 10.57702/3gnmd09i
title: Laion-5B: An open large-scale dataset for training next generation image-text models

description: LAION-5B dataset is a large-scale image dataset containing 5,000 images of various scenes.
DOI: 10.57702/tvbli2gi
title: ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data

description: The ST-MVL dataset contains geo-sensory time series data with missing values.
DOI: 10.57702/avmh5rc8
title: PoliFormer: Scaling On-Policy RL with Transformers

description: POLIFORMER is a transformer-based policy model trained with on-policy RL in the AI2-THOR simulator at scale, that can effectively navigate in the real world without any adaptation.
DOI: 10.57702/hczq0a5d
title: ObjectNav revisited: On evaluation of embodied agents navigating to objects

description: ObjectNav revisited: On evaluation of embodied agents navigating to objects.
DOI: 10.57702/viog8to6
title: Homerobot: Open-vocabulary mobile manipulation

description: Homerobot: Open-vocabulary mobile manipulation.
DOI: 10.57702/4ldwni3v
title: Memetically Optimized MCWLD for Matching Sketches With Digital Face Images

description: Dataset for Face Recognition using Sketches.
DOI: 10.6084/m9.figshare.27948570
title: Study Cohort Clusters

description: Data available for Paper
DOI: 10.6084/m9.figshare.27948570.v1
title: Study Cohort Clusters

description: Data available for Paper
DOI: 10.15468/dl.ue6q3v
title: Occurrence Download

description: A dataset containing 5068489 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ireland"
 ]
}

 The dataset includes 5068489 records from 1229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013398-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3gz8x
title: Occurrence Download

description: A dataset containing 1613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus triseriatus Wagler, 1830"
 ]
}

 The dataset includes 1613 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013600-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k24vax
title: Occurrence Download

description: A dataset containing 22070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 22070 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013601-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive4120.20241212.9.2
title: Desulfovibrio simplex Zellner et al. 1990

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4120.20251217.10
title: Desulfovibrio simplex Zellner et al. 1990

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072353.10fu
title: SH0072353.10FU

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/bacdive4121.20250331.9.3
title: Paucidesulfovibrio longus (Magot et al. 1992) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4121.20251217.10
title: Paucidesulfovibrio longus (Magot et al. 1992) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072354.10fu
title: SH0072354.10FU

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/bacdive4122.20250331.9.3
title: Oleidesulfovibrio alaskensis (Feio et al. 2004) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4122.20251217.10
title: Oleidesulfovibrio alaskensis (Feio et al. 2004) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0072355.10fu
title: SH0072355.10FU

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/bacdive4123.20250331.9.3
title: Oleidesulfovibrio vietnamensis (Dang et al. 2002) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4123.20251217.10
title: Oleidesulfovibrio vietnamensis (Dang et al. 2002) Waite et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4124.20250331.9.3
title: Pseudodesulfovibrio aespoeensis (Motamedi and Pedersen 1998) Cao et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4124.20251217.10
title: Pseudodesulfovibrio aespoeensis (Motamedi and Pedersen 1998) Cao et al. 2016

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