cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/04scvr4z
title: Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Cell Line Encyclopedia (CCLE)

description: The Genomics of Drug Sensitivity in Cancer (GDSC) dataset contains gene expression data for 700 cancer cell lines and 138 drugs. The Cancer Cell Line Encyclopedia (CCLE) dataset contains gene expression data for over 1000 cell lines and 24 drugs. The L1000 perturbations dataset contains gene expression data for 1000 genes in 19 drugs.
DOI: 10.15468/dl.rnm947
title: Occurrence Download

description: A dataset containing 216292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "Country is one of (France, Sweden, Germany, Finland, Switzerland, Norway, Russian Federation, Poland, Belgium, Netherlands)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paris L."
 ]
}

 The dataset includes 216292 records from 786 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013933-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/razmaz4r
title: Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables

description: Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and time consuming.
DOI: 10.57702/dbz6vnvg
title: UCI HAR

description: A public domain dataset for human activity recognition using smartphones.
DOI: 10.57702/0lgqdwaa
title: USC-HAD

description: USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors.
DOI: 10.57702/3xpm09mg
title: BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement

description: A novel low-light video dataset, consisting of 40 scenes with various motion scenarios under two distinct low-lighting conditions, incorporating genuine noise and temporal artifacts.
DOI: 10.57702/xvyo9pyi
title: Dancing under the stars: video denoising in starlight

description: A video dataset for video denoising in starlight.
DOI: 10.57702/gop7tcpt
title: Dancing in the dark: A benchmark towards general low-light video enhancement

description: A benchmark dataset for low-light video enhancement.
DOI: 10.57702/zr4jmnye
title: BDD100K: A diverse driving dataset for heterogeneous multitask learning

description: A driving dataset for heterogeneous multitask learning.
DOI: 10.57702/kpvnvx2z
title: Low-light image enhancement with wavelet-based diffusion models

description: A low-light image enhancement dataset using wavelet-based diffusion models.
DOI: 10.57702/ftnxl0ep
title: EDVR: Video restoration with enhanced deformable convolutional networks

description: A video restoration dataset using enhanced deformable convolutional networks.
DOI: 10.57702/t6ls7144
title: Total Marrow and Lymph Node Irradiation (TMLI) PTV Segmentation Dataset

description: The dataset used for the segmentation of the Planning Target Volume (PTV) in Total Marrow and Lymph Node Irradiation (TMLI) treatment.
DOI: 10.57702/xfwb5aa1
title: DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models

description: DiffPose: A conditional diffusion model for multi-hypothesis human pose estimation from a single image.
DOI: 10.57702/t34ei47n
title: Quantum Generative Diffusion Model

description: The Quantum Generative Diffusion Model (QGDM) is a fully quantum-mechanical model for generating quantum state ensembles, inspired by Denois-ing Diffusion Probabilistic Models.
DOI: 10.57702/2ac5av0b
title: Resource-Efficient Quantum Generative Diffusion Model

description: The Resource-Efficient Quantum Generative Diffusion Model (RE-QGDM) is a variant of the Quantum Generative Diffusion Model (QGDM) that minimizes the need for auxiliary qubits while maintaining impressive generative capabilities.
DOI: 10.21227/8312-b997
title: Migration

description: This dataset is collected at KAIST, Daejeon, and KAIST by ISILAB to research seamless indoor-outdoor detection. The collecting device is a Raspberry Pi 4B+ with touchscreen UI connected with a Pmod Nav module and a PmodGPS. This collection has a rough three-month time span, which mitigates the specific time-specific bias. Further, in the collection, we also swap the wiring to simulate the device bias. The dynamic calibration is not applied to the dataset; searchers may choose to apply the dataset or not. The header contains the following "timestamp, indoor, gyr.X, gyr.Y, gyr.Z, acc.X, acc.Y, acc.Z, mag.X, mag.Y, mag.Z, pressure, tempB, latitude, longitude, altitude, hdop, pdop, vdop, fix, satellites, index, snr_1, snr_2, snr_3, snr_4."  We retrieve this dataset from our database for more straightforward utilization. The label indoor is a boolean index to indicate whether the user is indoors or not, which is a manual label at collecting time.
DOI: 10.57702/0tx5th72
title: Labeled Faces in the Wild (LFW) dataset

description: Labeled Faces in the Wild (LFW) dataset consists of 5749 subjects each having different number of images ranging from 1 to 530.
DOI: 10.57702/ej2ivy55
title: IARPA Janus Benchmark-B (IJB-B) dataset

description: The IARPA Janus Benchmark-B (IJB-B) dataset contains 1,026,280 face images of 1,845 individuals.
DOI: 10.57702/6q0f3wjz
title: CASIA-Webface dataset

description: The CASIA-Webface dataset contains 494,414 images of 10,575 subjects.
DOI: 10.57702/qwmp67x3
title: VGG-Face dataset

description: The VGG-Face dataset contains 2.2 million URLs with corresponding face detection locations.
DOI: 10.57702/o1zh2mio
title: AoI Minimization in Energy Harvesting and Spectrum Sharing Enabled 6G Networks

description: The dataset used in this paper is a partially observable Markov decision process (POMDP) for spectrum sharing and energy harvesting in 6G networks.
DOI: 10.57702/0lfbjhv7
title: SCADA dataset for wind turbines

description: The dataset used in this study is derived from SCADA data and spans several years. It consists of ten-minute-average values from 240 sensors for WF A and 30 sensors for WF B.
DOI: 10.57702/rd5j9ysb
title: LOL [58] and LSRW [16] test sets

description: The proposed dataset for low-light image enhancement using diffusion models and Retinex theory.
DOI: 10.57702/s9ubf37u
title: DARK FACE dataset [69]

description: The proposed dataset for low-light face detection using low-light image enhancement.
DOI: 10.57702/3bi97o9a
title: DICM [28] test set

description: The proposed dataset for low-light image enhancement using diffusion models and Retinex theory.
DOI: 10.15468/dl.p7z7fn
title: Occurrence Download

description: A dataset containing 34258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Animal Sound Archive"
 ]
}

 The dataset includes 34258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013956-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/rwkr2bix
title: NPE [53] test set

description: The proposed dataset for low-light image enhancement using diffusion models and Retinex theory.
DOI: 10.57702/k3z8fga7
title: VV [51] test set

description: The proposed dataset for low-light image enhancement using diffusion models and Retinex theory.
DOI: 10.57702/tncge39q
title: Dangerous Foraging Domain

description: The dataset used in the experiment to test the adaptability of Improved NEAT in Variable Environments.
DOI: 10.57702/mljyffpb
title: NTU-RGB+D 120

description: Skeleton-based action recognition has attracted considerable attention due to its compact representation of the human body’s skeletal structure. Many recent methods have achieved remarkable performance using graph convoluitional networks (GCNs) and convolutional neural networks (CNNs), which extract spatial and temporal features, respectively. Although spatial and temporal dependencies in the human skeleton have been explored separately, spatio-temporal dependency is rarely considered.
DOI: 10.57702/q6ihje9a
title: Kinetics-Skeleton

description: Skeleton-based action recognition has attracted considerable attention due to its compact representation of the human body’s skeletal structure. Many recent methods have achieved remarkable performance using graph convoluitional networks (GCNs) and convolutional neural networks (CNNs), which extract spatial and temporal features, respectively. Although spatial and temporal dependencies in the human skeleton have been explored separately, spatio-temporal dependency is rarely considered.
DOI: 10.57702/r1lysaaq
title: Arbitrary Style Transfer

description: Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization.
DOI: 10.57702/eme5rbmj
title: Deep Image Harmonization

description: Deep Image Harmonization.
DOI: 10.57702/0vxsbe5r
title: Learning to reﬂect

description: The dataset is used for learning to reﬂect data-driven stochastic control strategies.
DOI: 10.57702/job05cdv
title: Places dataset

description: The Places dataset is a large-scale dataset for scene recognition, containing 1 million images from 365 categories.
DOI: 10.57702/zxz1eqz0
title: GANs and diffusion models dataset

description: The dataset used in the paper for synthetic image detection, aiming to detect forgery images from diverse generative methods.
DOI: 10.57702/a8nqt72z
title: Diffusion Models dataset

description: The dataset used in the paper for diffusion model detection, containing synthetic images and real images.
DOI: 10.57702/au97onwh
title: Multiplexed Immunofluorescence Cell Image Patches

description: Multiplexed immunofluorescence cell image patches extracted across 1,093 tissue microarray cores of breast cancer patients
DOI: 10.57702/cg1wvaa5
title: Vid4 dataset

description: The Vid4 dataset is a video super-resolution dataset, which consists of 4 videos of resolution 640 x 480.
DOI: 10.57702/6ghdsbsj
title: Vid4

description: Space-time video super-resolution (STVSR) is the task of interpolating videos with both Low Frame Rate (LFR) and Low Resolution (LR) to produce High-Frame-Rate (HFR) and also High-Resolution (HR) counterparts.
DOI: 10.15468/dl.2npyzc
title: Occurrence Download

description: A dataset containing 3402595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3402595 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013950-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/m1fv8b8c
title: Hybrid AI-Assistive Diagnostic Model for Cervical Liquid-Based Thin-Layer Cell Smears

description: Hybrid AI-assistive diagnostic model permits rapid tbs classiﬁcation of cervical liquid-based thin-layer cell smears
DOI: 10.57702/zbhotsub
title: Distilling Object Detectors with Feature Richness

description: The proposed Feature-Richness Score (FRS) method to choose important features that are beneficial to distillation.
DOI: 10.57702/izj45fb8
title: Optic Disc/Cup Segmentation

description: Optic disc and cup segmentation dataset used for evaluating the efficiency of the proposed Translation Variant Convolution (TVConv) operator.
DOI: 10.57702/iv8l45k7
title: Lesion Boundary Segmentation challenge

description: A dataset for skin lesion segmentation, used for testing the proposed DoubleU-Net architecture.
DOI: 10.57702/8rsrg6vg
title: ISIC-2018 challenge

description: A dataset for dermoscopy images, used for testing the proposed DoubleU-Net architecture.
DOI: 10.57702/wuctxjsf
title: COCO panoptic segmentation

description: Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using post-processing layers. Recent works unify both segmentation tasks by producing binary masks and class scores for both things and stuff classes.
DOI: 10.57702/pe1xcaio
title: Simple Online and Realtime Tracking

description: Simple online and realtime tracking with a deep association metric.
DOI: 10.57702/5rrmmd2t
title: Pascal VOC-OS

description: Open-set object detection datasets
DOI: 10.5281/zenodo.14264306
title: The design, pharmacology, and toxicology exploring of a novel chemically modified siRNA targeting hepatic angiotensinogen with potential application for hypertension treatment
DOI: 10.5281/zenodo.14264307
title: The design, pharmacology, and toxicology exploring of a novel chemically modified siRNA targeting hepatic angiotensinogen with potential application for hypertension treatment
DOI: 10.57702/ahvd58wf
title: COCO-OS

description: Open-set object detection datasets
DOI: 10.57702/2w3w1y0j
title: CASIA-HWDB1.0-1.1

description: The CASIA-HWDB1.0-1.1 dataset contains 420 handwritten Chinese characters written by 420 persons, and 300 handwritten Chinese characters written by 300 persons.
DOI: 10.57702/csum2b61
title: WoodScape

description: The WoodScape dataset consists of 10,000 annotated images captured from four different view angles: Front View (FV), Mirror-View Right (MVR), Mirror-View Left (MVL), and Rear View (RV) of a vehicle. The dataset provides the semantic annotations for ten classes, including road, lane markings, curb, person, rider, car, bicycle, motorcycle, traffic sign, and background.
DOI: 10.57702/70x1xqp2
title: LEARNING A DIFFUSION PRIOR FOR NERFS

description: The dataset is used for learning a diffusion prior for NeRFs that can generate NeRFs and be used as a prior for different test-time optimization algorithms.
DOI: 10.57702/2ynmtqci
title: cocktail data set

description: The dataset used in the paper is a Chinese high school exam questions dataset, specifically retaining only the single choice questions.
DOI: 10.57702/d7fxw2nd
title: gpt4 dataset

description: The dataset used in the paper is a dataset of Chinese textual content, with minor tests demonstrating that the manipulate capacity of gpt4 in English exceeds that in Chinese.
DOI: 10.57702/de8jtlh9
title: Training a U-Net based on a random mode-coupling matrix to recover acoustic interference striations

description: A U-Net is trained to recover acoustic interference striations (AISs) from distorted ones. A random mode-coupling matrix model is introduced to generate a large number of training data quickly, which are used to train the U-Net.
DOI: 10.57702/nof6ahy2
title: Biobjective Function E(·; θ) Dataset

description: The dataset used in this paper is a collection of data from a biobjective function E(·; θ) = (E(·; θ1), E(·; θ2)) where θ is a parameter vector.
DOI: 10.15468/dl.4s756c
title: Occurrence Download

description: A dataset containing 1826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citharus linguatula (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1826 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013959-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2p9z7
title: Occurrence Download

description: A dataset containing 5977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelidonichthys lucerna (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5977 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013957-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp9na4
title: Occurrence Download

description: A dataset containing 3916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlorophthalmus agassizi Bonaparte, 1840",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3916 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013958-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14264324
title: Wuppertal Elberfeld Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14264325
title: Wuppertal Elberfeld Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.57702/ne0ayu1v
title: NTU RGB-D

description: RGB-D action and gesture recognition remains an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human motion.
DOI: 10.57702/5zn6zlus
title: Nerﬁes: Casual Free-Viewpoint Selﬁes

description: Deformable Neural Radiance Fields extend NeRF by modeling non-rigidly deforming scenes.
DOI: 10.57702/1pcdv0ar
title: Neural scene ﬂow ﬁelds for space-time view synthesis of dynamic scenes

description: Neural scene ﬂow ﬁelds for space-time view synthesis of dynamic scenes.
DOI: 10.57702/s8xnnmwe
title: CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans

description: Medical Vision-Language Pretraining (Med-VLP) establishes a connection between visual content from medical images and the relevant textual descriptions. Existing Med-VLP methods primarily focus on 2D images depicting a single body part, notably chest X-rays. In this paper, we extend the scope of Med-VLP to encompass 3D images, specifically targeting full-body scenarios, by using a multimodal dataset of CT images and reports.
DOI: 10.57702/aaepfajg
title: BD807 (BLIP2-guided Dataset with 807 images)

description: NoiseCollage generates an image with N objects from the following conditions, L, S, and s∗: L = {l1,..., lN } is the N layout conditions to control the layout of individual objects. Each layout condition ln is represented as a region specified by a bounding box or a polygon. S = {s1,..., sN } is the set of N text conditions to describe the visual information of the objects. Each condition is given as a word sequence; for example, “A man wearing an orange jacket is sitting at a table.” s∗ is a global text condition to describe the whole image of the objects.
DOI: 10.57702/38jkz3lm
title: MD30 (Manually-annotated Dataset)

description: MD30 (Manually-annotated Dataset) comprises 30 images chosen from the 807 images. For those images, we discard sn by BLIP2 and attach a more accurate text as sn by a human annotator.
DOI: 10.57702/p9r83v5u
title: Breast Cancer Detection using Histopathological Images

description: Breast cancer detection using histopathological images
DOI: 10.57702/ye58ia0u
title: A Dataset for Breast Cancer Histopathological Image Classification

description: A dataset for breast cancer histopathological image classification
DOI: 10.57702/fxg744o8
title: NTU-120 RGB+D

description: The NTU-120 RGB+D dataset is the largest indoor dataset for 3D human activity analysis. It contains 114,480 action samples over 120 action classes, performed by 106 distinct subjects.
DOI: 10.57702/abw2skab
title: Centered-Shoe

description: A unified object-centric implicit representation that can be used for RGB and depth novel view rendering, 3D reconstruction, and proposing stable grasps.
DOI: 10.57702/gga73m2p
title: Video In-Context Learning

description: Video In-Context Learning (Vid-ICL) is a novel framework that extends in-context learning to video data.
DOI: 10.57702/c8ldsqfj
title: Ego4d

description: Ego4d is a large-scale egocentric video dataset that contains 3000 hours of video.
DOI: 10.57702/4mkic8dd
title: Webvid

description: Webvid is a large-scale video dataset that contains internet videos.
DOI: 10.57702/f7zmt7eh
title: KPGT

description: The KPGT model is a knowledge-guided pre-training of graph transformer for molecular property prediction.
DOI: 10.57702/6plxsb4f
title: Atari 2600 game dataset

description: The dataset used in the paper is the Atari 2600 game dataset, which consists of 4 consecutive 80x80 gray-scale game frames as the input to the network.
DOI: 10.57702/mz4jms54
title: DiﬀPattern: Layout Pattern Generation via Discrete Diffusion

description: DiﬀPattern proposes a novel layout pattern generation method based on discrete denoising for synthesizing layout topology. It introduces a novel diverse topology generation method via a discrete diffusion model with compute-efﬁciently lossless layout pat-tern representation.
DOI: 10.57702/x0gxl5lb
title: Breakthrough Listen Search for Intelligent Life

description: The Breakthrough Listen dataset contains radio spectra from 820 nearby stars.
DOI: 10.57702/qj1ey4sh
title: ImageNet-1K, Food-101, Birds, and Dogs datasets

description: The dataset used for image classification tasks, including ImageNet-1K, Food-101, Birds, and Dogs.
DOI: 10.57702/wu89facs
title: Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data

description: Emotional voice conversion aims to convert the spectrum and prosody to change the emotional patterns of speech, while preserving the speaker identity and linguistic content.
DOI: 10.57702/wm93418m
title: Performance Measures for Portfolio Insurance Strategies

description: The dataset used in this paper is a set of performance measures for portfolio insurance strategies.
DOI: 10.57702/pmqp9ynb
title: ImageNet Validation Set

description: The dataset used in the paper is the ImageNet validation set, a subset of the ImageNet dataset.
DOI: 10.57702/ikc71ylt
title: In-house measured images

description: The dataset used in this paper for MR image reconstruction with a deep learned prior.
DOI: 10.57702/lfuxp2ew
title: WSSS4LUAD

description: WSSS4LUAD dataset, comprising tissue samples from lung and colon adenocarcinomas, divided into two distinct subsets: LC-lung and LC-colon.
DOI: 10.57702/w9j7vcxp
title: SDI

description: The SDI dataset is a collection of 8,000 images of defects in industrial products.
DOI: 10.57702/6f7w86bl
title: CIFAR-10, CIFAR-100 and Tiny-ImageNet-200

description: The dataset used in this paper is a collection of clean and adversarial examples for deep neural networks.