cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/ext9d67o
title: HiRISE Image Patches Obscured by Atmospheric Dust

description: The dataset contains two sets of image patches each from the Experimental Data Record (i.e., Raw images without any corrections) and Reduced Data Record (i.e., corrected, and preprocessed images). Both these sets have 20,000 images each with training, validation, and test split of 10,000, 5,000 and 5,000 images each.
DOI: 10.57702/cs92agqp
title: USyd Campus Dataset

description: The USyd Campus Dataset contains recordings from a buggy-like car registered over 50 weeks in varying weather conditions.
DOI: 10.57702/d02jn4yj
title: WikiHan: A new comparative dataset for Chinese languages

description: WikiHan: A new comparative dataset for Chinese languages.
DOI: 10.57702/9auqxtam
title: View Extrapolation of Urban Scenes in 3D Gaussian Splatting

description: The VEGS dataset is a urban scene reconstruction method for improved Extrapolated View Synthesis (EVS) given training images from forward-facing cameras.
DOI: 10.15468/dl.knbuyh
title: Occurrence Download

description: A dataset containing 2416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ampeliscidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2416 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036987-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/eygvqdyn
title: Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach

description: A large dataset of 12600 images from 420 distinct individuals, each with 30 signatures of a certain kind.
DOI: 10.57702/7j79qscc
title: BIMM: Brain Inspired Masked Modeling for Video Representation Learning

description: The Brain Inspired Masked Modeling (BIMM) framework conducts self-supervised video representation learning inspired by the process of visual information processing in the human brain.
DOI: 10.57702/6p68znnc
title: AVA v2.2

description: The AVA v2.2 dataset for spatiotemporal action localization contains the bounding box annotations and the corresponding action labels on keyframes.
DOI: 10.57702/q9ac43hp
title: Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning

description: Cross-lingual cross-modal retrieval with noise-robust learning for low-resource languages
DOI: 10.57702/97t30z3n
title: Stroke-based Character Reconstruction

description: Stroke-based character reconstruction dataset
DOI: 10.57702/hv61b5zp
title: First-person hand benchmark (FHB)

description: The FHB dataset contains egocentric RGB-D videos on a wide range of hand-object interactions.
DOI: 10.57702/is9qm3sc
title: HO-3D

description: The HO-3D dataset consists of 78,000 images frames on 10 objects.
DOI: 10.57702/nq3ahtxb
title: Progressive Recurrent Network for Shadow Removal

description: Single-image shadow removal is a significant task that is still unresolved. Most existing deep learning-based approaches attempt to remove the shadow directly, which can not deal with the shadow well.
DOI: 10.57702/j7ujem79
title: ISTD+ dataset

description: The dataset is used for shadow removal tasks.
DOI: 10.57702/irjcn87f
title: SBU-Timelapse dataset

description: The dataset is used for shadow removal tasks.
DOI: 10.57702/fuukszeh
title: BMVC 2023

description: Object-centric open-vocabulary image retrieval involves the retrieval of images containing a specified object of interest, delineated by an open-set text query.
DOI: 10.57702/oezdjkfp
title: nuImages

description: nuImages is a public autonomous driving dataset, significantly different from the former two datasets in terms of resolution, context, RGB distribution and annotated classes.
DOI: 10.48577/jpl.zansmv
title: The First JWST View of a 30-Myr-old Protoplanetary Disk Reveals a Late-stage Carbon-rich Phase

description: We present a JWST MIRI/MRS spectrum from the JDISCS collaboration of the inner disk of WISE J044634.16−262756.1B (hereafter J0446B), an accreting M6 star around 40 Myr old. The spectrum is molecule-rich and dominated by hydrocarbons. We detect 14 molecular species (H2, CH3, CH4, C2H2, 13CCH2, C2H4, C2H6, C3H4, C4H2, C6H6, HCN, HC3N, CO2 and 13CO2) and 2 atomic lines ([NeII] and [Ar II]), all observed for the first time in a disk at this age. The detection of spatially unresolved H2 and Ne gas strongly supports that J0446B hosts a long-lived primordial disk, rather than a debris disk. The marginal H2 O detection and the high C2 H2 /CO2 column density ratio indicate that the inner disk of J0446B has a very carbon-rich chemistry, with a gas-phase C/O ratio ≳2, consistent with most young disks around similar stars. In the absence of significant outer disk dust substructures, inner disks are expected to first become water-rich due to the rapid inward drift of icy pebbles, and evolve into carbon-rich as outer disk gas flows inward on longer timescales. The faint millimeter emission in such low-mass star disks implies that they may have depleted their outer icy pebble reservoir early and already passed the water-rich phase. Models with pebble drift and volatile transport suggest that maintaining a carbon-rich chemistry for tens of Myr likely requires a slowly evolving disk with α−viscosity ≲ 10−4. This study represents the first detailed characterization of disk gas at 40Myr, strongly motivating further studies into the final stages of disk evolution.
DOI: 10.57702/vepcqd6n
title: DialogCC: Large-Scale Multi-Modal Dialogue Dataset

description: A large-scale multi-modal dialogue dataset created by leveraging the automatic pipeline with filtering using CLIP similarity.
DOI: 10.57702/uqwnh3ut
title: PhotoChat: A Human-Human Dialogue Dataset with Photo Sharing Behavior

description: A dialogue dataset with photo sharing behavior for joint image-text modeling.
DOI: 10.57702/qbhprmwx
title: Personalizing Dialogue Agents: I Have a Dog, Do You Have Pets Too?

description: A dialogue dataset for personalizing dialogue agents.
DOI: 10.57702/zq8otlb8
title: Towards Empathetic Open-Domain Conversation Models: A New Benchmark and Dataset

description: A dialogue dataset for open-domain conversation models.
DOI: 10.57702/z152aexy
title: SG-WMBDL

description: Hydroelectric unit fault localization dataset
DOI: 10.57702/icvvvzt4
title: SafeRLHF

description: The dataset used in the paper for training and testing the DPO and PPO models.
DOI: 10.57702/xvs2nhsa
title: HH-RLHF

description: The HH-RLHF dataset is a human preference dataset for reinforcement learning from human feedback.
DOI: 10.57702/5j8mjuy9
title: APPS

description: The dataset used in the paper for training and testing the DPO and PPO models.
DOI: 10.57702/pu6udzx4
title: Lumiere

description: A dataset of 30M videos along with their text captions.
DOI: 10.57702/t3m6s0u0
title: D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation

description: D3Fields — dynamic 3D descriptor fields for zero-shot generalizable robotic manipulation tasks
DOI: 10.15468/dl.gekqqh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coelogyne pandurata Lindl."
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036989-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/kedxfo02
title: ACDC and M&Ms datasets

description: The dataset used for cardiac MRI segmentation
DOI: 10.57702/o8hqbd6z
title: CAwa-NeRF

description: CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features
DOI: 10.57702/0d5rezb1
title: Places205

description: Places205 is a dataset of 2.5 million images from 205 categories, with 12,000 images per category.
DOI: 10.15468/dl.kf4m3v
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atylidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036988-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7tcufddk
title: Malicia dataset

description: The dataset used in this paper is a standardized malware dataset containing multiple generations of malware.
DOI: 10.57702/m1lk2olm
title: LHCO R&D dataset

description: The LHCO R&D dataset has become a standard candle of performance for resonant anomaly detection approaches. It comprises background data from di-jet events produced in QCD interactions, and signal data from the all-hadronic decay of a massive resonant BSM particle into two lighter BSM particles.
DOI: 10.57702/tyahdrd5
title: LHCO Black Box 2 sample

description: The LHCO Black Box 2 sample is used as an alternative background sample.
DOI: 10.57702/unnkeo09
title: Interaction

description: The Interaction dataset consists of various highly interactive driving situations, and each trajectory has 1 second history and 3 seconds future sampled at 10Hz.
DOI: 10.57702/93l4pmul
title: TrajNet++

description: The TrajNet++ dataset is specifically designed to have a high level of interactions among agents, and given the state of all agents of the past 9 timesteps, the goal is to predict the next 12 timesteps for all agents.
DOI: 10.48577/jpl.vtihw8
title: Broadband Variational Measurement of a Classical Force Using Strongly Nondegenerate Dichromatic Optical Pump

description: Maximal sensitivity of classical force detectors utilizing nonlinear opto-mechanical transducers is generally defined by the standard quantum limit resulting from the contamination of the detected signal with noncommuting quantum noises. This restriction can be circumvented by the optimal detection protocols. We here show theoretically that interrogating a resonant opto-mechanical displacement transducer with a strongly nondegenerate dichromatic optical probe enables a quantum back-action evading measurement of a classical force acting on the mechanical oscillator being a part of the opto-mechanical transducer.
DOI: 10.57702/dtcptbeg
title: Desai-Zwanzig model with multiplicative noise

description: The dataset used in this paper is a collection of trajectories of an interacting agent-based system, specifically the Desai-Zwanzig model, with multiplicative noise considered.
DOI: 10.57702/42zx9hz2
title: KINS Dataset

description: A dataset for amodal instance segmentation, consisting of images with variable numbers of object instances.
DOI: 10.57702/8ecaz3ag
title: Medical Segmentation Decathlon (MSD)

description: The Medical Segmentation Decathlon (MSD) is a collection of 10 benchmark datasets for segmentation spanning different body parts and modalities.
DOI: 10.57702/oa4txdok
title: Atari 2600 games dataset

description: The dataset used in this paper is the Atari 2600 games dataset, which consists of 50 Atari 2600 games.
DOI: 10.57702/7hhn9li9
title: OpenAI Gym Environment dataset

description: The dataset used in this paper is the OpenAI Gym Environment dataset, which consists of various games and environments.
DOI: 10.57702/cgu8jejn
title: Car Racing game dataset

description: The dataset used in this paper is the Car Racing game dataset, which consists of pixel frames of a car racing game.
DOI: 10.57702/9sp5p7ue
title: Extended Distress Analysis Interview Corpus Wizard of Oz dataset (E-DAIC)

description: The Extended Distress Analysis Interview Corpus Wizard of Oz dataset (E-DAIC) corpus presented in the Audio/Visual Emotion Challenge (AVEC) 2019 Challenge.
DOI: 10.57702/ksjwyuc4
title: Distress Analysis Interview Corpus Wizard of Oz dataset (DAIC-WOZ)

description: The Distress Analysis Interview Corpus Wizard of Oz dataset (DAIC-WOZ) dataset.
DOI: 10.57702/8hpdsi0k
title: ModelNet dataset

description: The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object.
DOI: 10.57702/tjyscmbv
title: Last.fm-1week

description: Last.fm-1week dataset is a dataset of user-item interactions from the Last.fm music streaming service, which is used for evaluating the performance of recommendation algorithms.
DOI: 10.57702/5n474hhn
title: Semi-synthetic dataset for photoacoustic imaging

description: Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such as metallic needles).
DOI: 10.57702/yyrtk6cw
title: Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging

description: A large preclinical stroke imaging study with multi-modal MRI datasets, including quantitative multi-echo T2 and apparent diffusion coefficient (ADC) maps.
DOI: 10.57702/8rz6ces0
title: Segment Anything Model (SAM) for Medical Images

description: Three publicly available medical imaging datasets: Breast Ultrasound Scan Images (BUSI), CVC-ClinicDB, and ISIC-2016.
DOI: 10.57702/hexnwja1
title: Breast Ultrasound Scan Images (BUSI)

description: Dataset of breast ultrasound images for image segmentation tasks.
DOI: 10.57702/lxsfzuhz
title: Mutag dataset

description: Mutag dataset is a benchmark dataset for graph neural networks, containing 188 cancer and 67 non-cancer cells.
DOI: 10.57702/zh5s16e8
title: Component Decoupled Data

description: The dataset used in the paper is a synthetic dataset generated by the component decoupled model described in Section 3.
DOI: 10.57702/hflhe57i
title: 3-d Gaussian Data

description: The dataset used in the paper is a 3-d Gaussian distributed dataset.
DOI: 10.57702/k9g3oxli
title: Dynamic sizing of required balancing capacities: the operational approach in France

description: The dataset contains the required margins for the French transmission system operator RTE for dynamically sizing the required margins in the context of the dynamic margin monitoring strategy.
DOI: 10.57702/60sbbuyo
title: OpenGAN: Open Set Generative Adversarial Networks

description: OpenGAN: Open Set Generative Adversarial Networks
DOI: 10.48577/jpl.krm5dk
title: Combating Amine Blush: Root Cause and Corrective Action of a Compromised Bond on Europa Clipper

description: A structural debond of a mechanical fitting occurred during vehicle-level static test of the Europa Clipper spacecraft. This event was identified by both an anomalous reading in a test strain gage and an audible noise. Testing was immediately halted and a thorough investigation commenced. Finite element analysis provides good evidence that a debond of a reinforcement fitting would produce the strain signature observed in test. Structural analysis also indicated that a properly-bonded fitting should have substantial capability beyond the loads applied in test. Furthermore, a proof test of the bonded fitting immediately following completion of the bond curing cycle was successfully performed with no detrimental observation. Root cause analysis and investigation ultimately uncovered two causes behind the debond observed in spacecraft test. The primary cause was identified as a phenomenon known as amine blush, compromising the integrity of the adhesive. Amine blush is the formation of carbamates on the exposed surface of an epoxy due to unfavorable conditions during the bonding operation. Surface carbamates present a waxy quality which substantially degrades the adhesive capability of the epoxy. Thus, the epoxy itself was predisposed to not adhere properly to the spacecraft. The secondary cause identified was the nature of the local proof testing of the bonded fittings immediately following the bond cure. The proof test was designed to be quick and simple, using a vertical pull on the fitting to a load level which reproduced flight-like stresses in the adhesive. Although an appropriate overall stress magnitude was achieved in the adhesive, the stress peaked on the opposite side of the adhesive bond line in the proof test than it does during the spacecraft test and as in flight. These differences were known and accepted at the time. However, the formation of amine blush is not symmetric on either side of a bond line. Therefore, by exercising the incorrect side of the bond line during the local proof test, the degraded epoxy was not identified in the local proof test. The local proof test resulted in a false-positive indication of the bonded joint’s capability. Corrective action for the primary root case, amine blush, involved enhancements to the bonding procedure to mitigate the formation of carbamates. Corrective action for the secondary cause was the design of a more flight-like local proof test for the bonded fitting. Implementation of the two corrective actions was successful and the bonded fitting has been demonstrated to be soundly installed on the Europa Clipper spacecraft.
DOI: 10.57702/bhjattlx
title: Vegetation change assessment in satellite imagery

description: Vegetation change assessment in satellite imagery using U-net super-neural segmentation and similarity calculation
DOI: 10.57702/ucrmhccd
title: Multi-Scale Prototypical Transformer for Whole Slide Image Classification

description: Whole slide image (WSI) classification is an essential task in computational pathology. Despite the recent advances in multiple instance learning (MIL) for WSI classification, accurate classification of WSIs remains challenging due to the extreme imbalance between the positive and negative instances in bags, and the complicated pre-processing to fuse multi-scale information of WSI.
DOI: 10.57702/s4y40ayc
title: CASIA v4-thousand

description: Iris recognition is one of the most accurate and reliable technologies for biometrics. It is applied to various fields including forensic science, border control, biometric payment systems, and biometric unlock on cell phones.
DOI: 10.57702/beps5f6f
title: CASIA v4-distance

description: Iris recognition is one of the most accurate and reliable technologies for biometrics. It is applied to various fields including forensic science, border control, biometric payment systems, and biometric unlock on cell phones.
DOI: 10.57702/vkcl2hao
title: IITD

description: Iris recognition is one of the most accurate and reliable technologies for biometrics. It is applied to various fields including forensic science, border control, biometric payment systems, and biometric unlock on cell phones.
DOI: 10.57702/3hmpfzqn
title: MMU2

description: Iris recognition is one of the most accurate and reliable technologies for biometrics. It is applied to various fields including forensic science, border control, biometric payment systems, and biometric unlock on cell phones.
DOI: 10.57702/h4zfusul
title: CASIA v4-twins

description: Iris recognition is one of the most accurate and reliable technologies for biometrics. It is applied to various fields including forensic science, border control, biometric payment systems, and biometric unlock on cell phones.
DOI: 10.57702/p3mntyr3
title: PANDA (Pedantic ANswer-correctness Determination and Adjudication)

description: Question answering (QA) can only make progress if we know if an answer is correct, but for many of the most challenging and interesting QA examples, current answer correctness (AC) metrics do not align with human judgments, particularly verbose, free-form answers from large language models.
DOI: 10.15468/dl.y8dwjw
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dexaminidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 729 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036990-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/l9t9tv1a
title: Geometric distortion metrics for point cloud compression

description: Geometric distortion metrics for point cloud compression.
DOI: 10.57702/ckdip7nt
title: FaceNet: A Unified Embedding for Face Recognition and Clustering

description: FaceNet is a deep neural network for face recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of faces.
DOI: 10.57702/4a2nwuay
title: Inception V2

description: Inception V2 is a deep neural network for image recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of images.
DOI: 10.57702/xi43ew0x
title: Fast Multiagent Evaluation (FME)

description: The Fast Multiagent Evaluation (FME) diagnostic environment is used to investigate the Diffusion of Responsibility (DR) problem.
DOI: 10.57702/zj566c4z
title: Asymmetric Decentralized Collective Assault (ADCA)

description: The Asymmetric Decentralized Collective Assault (ADCA) benchmark is a swarm combat environment modified and improved from (Fu et al. 2022).
DOI: 10.57702/vrm75obj
title: CycleGAN and Pix2Pix

description: The dataset used in the paper is CycleGAN and Pix2Pix, which are used for image-to-image translation tasks.
DOI: 10.57702/ef2lbf0z
title: horse2zebra, summer2winter, and edges2shoes

description: The dataset used in the paper is horse2zebra, summer2winter, and edges2shoes, which are used for image-to-image translation tasks.
DOI: 10.57702/6stfpskp
title: MoodyLyrics4Q

description: MoodyLyrics4Q is a dataset of 2,000 songs, fully compliant with the four requisites listed in the previous section.
DOI: 10.57702/clu1bml8
title: MoodyLyricsPN

description: MoodyLyricsPN is a bigger collection of 5000 songs labeled as positive or negative only.
DOI: 10.57702/bmfime3c
title: MNIST, CIFAR10, and UDIS-D datasets

description: The MNIST and CIFAR10 datasets are used for image classification, while the UDIS-D dataset is used for image reconstruction.
DOI: 10.57702/6h7z2jak
title: DIS-D dataset
DOI: 10.57702/ce6pyewk
title: Lasher: A large-scale high-diversity benchmark for rgbt tracking

description: Lasher: A large-scale high-diversity benchmark for rgbt tracking
DOI: 10.57702/4o6ovlrt
title: RgbD1K: A large-scale dataset and benchmark for rgb-d object tracking

description: RgbD1K: A large-scale dataset and benchmark for rgb-d object tracking
DOI: 10.57702/04hbfwpi
title: UCF101-24 dataset

description: The UCF101-24 dataset is a subset of the UCF101 dataset, containing 3207 videos with spatio-temporal annotations on 24 action categories.
DOI: 10.57702/58n7wze2
title: Realtoxicityprompts: Evaluating neural toxic degeneration in language models

description: A dataset for evaluating neural toxic degeneration in language models
DOI: 10.57702/fo7mextx
title: CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

description: Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with cross-entropy loss using one-hot categorical labels, which results in difficulty in distinguishing those nodules with closer progression labels. Interestingly, we observe that clinical text information annotated by radiologists provides us with discriminative knowledge to identify challenging samples.
DOI: 10.57702/2whjgz0f
title: Single-coil cardiac cine test dataset

description: The dataset used in this paper for dynamic MRI reconstruction.