cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/93ftlj5f
title: Compressive Classiﬁcation

description: Compressive learning is a framework where (so far unsupervised) learning tasks use not the entire dataset but a compressed summary (sketch) of it.
DOI: 10.57702/e9pbjk38
title: Two-stream Convolutional Networks for Multi-frame Face Anti-spooﬁng

description: Face anti-spooﬁng is an important task to protect the se–curity of face recognition. Most of previous work either struggle to capture discriminative and generalizable fea–ture or rely on auxiliary information which is unavailable for most of industrial product.
DOI: 10.57702/9g7nr2mr
title: Oulu-NPU Database

description: Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and high–efﬁciency.
DOI: 10.57702/1mqsdh7u
title: WiFi 802.11b dataset

description: A large-scale WiFi 802.11b dataset, collected from 50 Pycom devices, and analyzed the performance of CNN-based RF fingerprinting on short- and long-term variations using LoRa and WiFi data.
DOI: 10.57702/9ltq2bok
title: LoRa dataset

description: A LoRa dataset collected from 50 Pycom devices, and analyzed the performance of CNN-based RF fingerprinting on short- and long-term variations.
DOI: 10.57702/hbgys9bj
title: UAV-Assisted and Intelligent Reﬂecting Surfaces-Supported Terahertz Communications

description: The dataset used in this paper is a THz communication system with UAV and IRS.
DOI: 10.57702/4v10hpb2
title: Adversarial Self-Supervised Contrastive Learning

description: The authors propose a novel instance-wise adversarial perturbation method and a self-supervised contrastive learning framework to train an adversarially robust neural network without any class labels.
DOI: 10.57702/hr6z1fm5
title: Swimmer Data Set

description: The authors used the swimmer data set, a widely used data set for benchmarking NMF algorithms.
DOI: 10.57702/yy35w9lh
title: UMD Keck dataset

description: The dataset used in the paper is the UMD Keck dataset, which contains 14 body gestures with static and dynamic backgrounds. The dataset is used for body-gesture recognition.
DOI: 10.57702/cz7elmpt
title: CMU-PIE face dataset

description: The dataset used in the paper is the CMU-PIE face dataset, which contains images of 67 subjects with 13 different poses and 21 different illuminations.
DOI: 10.57702/blxhlecl
title: Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto

description: The dataset used in this paper is a collection of 31 Neighbourhood Improvement Areas (NIAs) in Toronto, Canada. Each NIA has a set of residential locations, candidate allocation locations, and existing amenities. The dataset is used to evaluate the effectiveness of the Walkability Optimization algorithm in improving walkability in underserved neighbourhoods.
DOI: 10.15468/dl.4u2j8c
title: Occurrence Download

description: A dataset containing 3242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridens flavus (L.) Hitchc.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 3242 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055369-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xy73hyor
title: Uber CausalML package data

description: The dataset used in the paper is the Uber CausalML package data.
DOI: 10.57702/mhb8qhur
title: DBDC4 Japanese

description: The DBDC4 Japanese dataset contains dialogues from three dialogue systems named DCM, DIT, and IRS, and five other dialogue systems (IRS, MMK, MRK, TRF, and ZNK) which participated in a live competition held in Japan.
DOI: 10.57702/dv0g8aos
title: Model-based Offline Policy Optimization with Adversarial Network (MOAN)

description: Offline RL framework called MOAN, which introduces a two-player game to improve the generalization capability of the transition model and mitigate the negative effects of potentially problematic rollouts during offline reinforcement learning.
DOI: 10.57702/kn463b10
title: Rating Transition Model Calibration Dataset under Risk-Neutral Measure

description: The dataset used for calibration of the rating transition model under the risk-neutral measure. It contains 1000 trajectories of the rating process Xt.
DOI: 10.57702/jrkljioo
title: The Rainforest Automation Energy dataset (RAE)

description: Power Consumption Datasets (PCDs) to understand the power consumption characteristics of appliances over time when turned on.
DOI: 10.57702/2eog1e9o
title: SNLI, SciTail, and BreakingNLI

description: The dataset used in the paper is SNLI, SciTail, and BreakingNLI.
DOI: 10.57702/cjdpaq8g
title: QFMTS: Query-Focused Multi-Table Summarization

description: A comprehensive dataset specifically tailored for query-focused multi-table summarization, consisting of 4,909 query-summary pairs, each associated with multiple tables.
DOI: 10.57702/vaajfj4t
title: PASA: Probabilistic Adaptive State Aggregation

description: The dataset used in the paper is a state aggregation approximation architecture, which is adapted using feedback regarding the frequency with which an agent has visited certain states.
DOI: 10.6073/pasta/dc2cd8a6544775834ea21c94de40baef
title: Anaerobic digestion of poultry manure to power a poultry farm in Ba: Techno-economic study

description: Poultry is the largest meat volume produced in Fiji, yet considering the large quantity of waste produced by this livestock, there has not been any established study nor application of the anaerobic digestion (AD) of poultry manure (PM) in the country. This paper aims to determine the techno-economic feasibility of the AD of PM to power a poultry farm in Fiji. A pilot-scale, solid-state anaerobic digestion (SSAD) was employed with mono-digestion batches of PM, and co-digestions with kitchen waste (KW) and newspaper waste (NPW). The key operational parameters of AD were measured and its influence on the biogas production were studied, whereby changes in environmental temperature had the greatest effect on biogas production. The results were then used to carry out a feasibility study of the full-scale design. The results showed that the SSAD system would generate 189.46 MWh of electricity annually, with a levelized cost of energy of FJ$0.17/KWh.
DOI: 10.57702/hpunyu8i
title: Benchmark Datasets for Generalized Zero-Shot Learning

description: Benchmark datasets for Generalized Zero-Shot Learning (GZSL) including AWA2, APY, CUB, and SUN.
DOI: 10.57702/wl3quijn
title: Attribute Pascal and Yahoo (APY) dataset

description: A dataset of 15,339 images with 64 attributes, used for Attribute Pascal and Yahoo (APY) dataset.
DOI: 10.57702/sj3y8l6l
title: Caltech-UCSD Birds-200-2011 (CUB) dataset

description: A dataset of 11,788 images of 200 bird species, used for Caltech-UCSD Birds-200-2011 (CUB) dataset.
DOI: 10.57702/5j8wf7rk
title: SUN Attribute (SUN) dataset

description: A dataset of 14,340 images with 102 attributes, used for SUN Attribute (SUN) dataset.
DOI: 10.57702/qz0amfqf
title: Animals with Attributes 2 (AWA2) dataset

description: A dataset of 50 animal species with 85 attribute annotations, used for AWA2 dataset.
DOI: 10.57702/lh66w6bx
title: Silent Store Dataset

description: The dataset used in the paper is a collection of 89K static silent stores, each associated with 127 static program features.
DOI: 10.57702/e4rt1sk4
title: NLP&CC 2013 cross-lingual sentiment analysis dataset

description: Cross-lingual sentiment analysis dataset for English-Chinese sentiment classification
DOI: 10.57702/sd1nsa89
title: Surprise Machines

description: Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessible to visitors.
DOI: 10.5281/zenodo.14590349
title: Test Data for the NTIA/ITS Implementations of the Low Frequency / Medium Frequency Propagation Model

description: This repository contains a dataset used to test the NTIA/ITS implementations of the Low Frequency / Medium Frequency (LF/MF) Propagation Model.
DOI: 10.5281/zenodo.14590350
title: Test Data for the NTIA/ITS Implementations of the Low Frequency / Medium Frequency Propagation Model

description: This repository contains a dataset used to test the NTIA/ITS implementations of the Low Frequency / Medium Frequency (LF/MF) Propagation Model.
DOI: 10.57702/sxq6beva
title: Accurate Grid Keypoint Learning for Efficient Video Prediction

description: Video prediction methods generally consume substantial computing resources in training and deployment, among which keypoint-based approaches show promising improvement in efficiency by simplifying dense image prediction to light keypoint prediction.
DOI: 10.57702/toadf7al
title: Datasets and Benchmarks for Offline Safe Reinforcement Learning

description: A comprehensive benchmarking suite tailored to offline safe reinforcement learning (RL) challenges, aiming to foster progress in the development and evaluation of safe learning algorithms in both the training and deployment phases.
DOI: 10.57702/555ax1s3
title: BulletSafetyGym

description: A framework for constrained reinforcement learning.
DOI: 10.57702/iz4lbmqp
title: Metadrive

description: Composing diverse driving scenarios for generalizable reinforcement learning.
DOI: 10.15468/dl.ahxxz7
title: Occurrence Download

description: A dataset containing 1550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulmus rubra Muhl.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 1550 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055370-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/g5papwgo
title: Virtual Machine Performance Metrics

description: The dataset used in this paper is a collection of performance metrics for virtual machines in a microservices-based system.
DOI: 10.57702/kq1onk6c
title: FunQG: Molecular Representation Learning Via Quotient Graphs

description: The FunQG framework is a novel molecular graph coarsening framework for more efﬁcient learning of molecular representations.
DOI: 10.57702/ylrl5zfc
title: Facial Shape Dataset

description: The dataset used in the paper is a collection of 3D surface data of human faces, with a focus on the analysis of shape and asymmetry.
DOI: 10.57702/xlwzy8av
title: Channel Attention Networks for Robust MR Fingerprinting Matching

description: Magnetic Resonance Fingerprinting (MRF) dataset for tissue parameter estimation
DOI: 10.57702/h0qj1ffy
title: student essays corpus

description: The dataset is used for argumentation mining, including component classification and relation classification.
DOI: 10.57702/xu5295zu
title: Large Bayesian vector autoregression with stochastic volatility

description: The dataset used in this paper is a large Bayesian vector autoregression (BVAR) model with stochastic volatility.
DOI: 10.57702/kc5769tq
title: DARPA TIMIT acoustic-phonetic continuous speech corpus CD-ROM

description: The TIMIT acoustic-phonetic continuous speech corpus CD-ROM contains read speech from 2500 speakers.
DOI: 10.57702/xnhvjlcc
title: The ETAPE corpus for the evaluation of speech-based TV content processing in the French language

description: The ETAPE corpus for the evaluation of speech-based TV content processing in the French language contains TV broadcasts.
DOI: 10.57702/a5sqydpw
title: The ESTER phase II evaluation campaign for the rich transcription of French broadcast news

description: The ESTER phase II evaluation campaign for the rich transcription of French broadcast news contains news reports.
DOI: 10.57702/fdwsbas6
title: The REPERE Corpus: a multimodal corpus for person recognition

description: The REPERE Corpus: a multimodal corpus for person recognition contains TV broadcasts.
DOI: 10.57702/pbw5cnjb
title: HpGAN: Sequence Search with Generative Adversarial Networks

description: HpGAN is a novel method to search desired sequences algorithmically using generative adversarial networks (GAN).
DOI: 10.57702/cppcrwf2
title: BoolQ

description: The BoolQ dataset is a context-based yes-no question answering dataset.
DOI: 10.57702/aav6cew6
title: MULAN: A Java library for multi-label learning

description: MULAN is a Java library for multi-label learning.
DOI: 10.57702/ma06kja4
title: Hellaswag: Can a machine really finish your sentence?

description: Hellaswag: Can a machine really finish your sentence?
DOI: 10.57702/tmrptf7e
title: HDR4CV: High Dynamic Range Dataset with Adversarial Examples

description: Merged HDR images of many multi-exposure datasets can be improved with accurate exposure estimation.
DOI: 10.57702/vkpjvk2h
title: Fairchild Survey

description: A dataset for comparing single image HDR reconstruction methods.
DOI: 10.57702/2y0agu2h
title: Labeled Faces in the Wild (LFW)

description: The Labeled Faces in the Wild (LFW) dataset contains 13,233 images from 5,749 identities, with large variations in pose, expression and illumination.
DOI: 10.57702/7bet2zxy
title: WMT 2019 English-German news translation task

description: The dataset used for the experiments in the paper, containing English-German news translation task.
DOI: 10.57702/hxhy8ooz
title: newstest2018.orig-en.p

description: The paraphrased reference translations used for the experiments in the paper.
DOI: 10.57702/1j8ks1t4
title: newstest2019.orig-en.p

description: The paraphrased reference translations used for the experiments in the paper.
DOI: 10.57702/8rt4c4lk
title: Zebraﬁsh Neural Activity Dataset

description: The dataset contains the neural activity of a larval zebraﬁsh, recorded at single cell resolution for 3000 time frames.
DOI: 10.57702/99f1h6jh
title: Real-world data from EHRs and claims data

description: The dataset used in this paper is a collection of real-world data from electronic health records (EHRs) and claims data.
DOI: 10.57702/5s9tymc3
title: Pattern Formation in a Spiking Neural-Field of Renewal Neurons

description: The dataset used in this paper is a network of renewal neurons, a well-established class of spiking cells. The network's dynamics can be accurately represented by a partial diﬀerential equation coupled with a nonlocal diﬀerential equation.
DOI: 10.57702/y0a1nhqj
title: Stack Overﬂow dataset

description: The Stack Overﬂow dataset contains data from a question-answering forum on the topic of computer programming.
DOI: 10.57702/o0t67xzf
title: CSEDM dataset

description: The CSEDM dataset is a college-level, publicly-available dataset with students' actual code submissions.
DOI: 10.57702/8mn0mrwo
title: Introspection Learning Dataset

description: The dataset used in the Introspection Learning algorithm, which consists of a family of subsets of state-action pairs (Ui)i, used to query the oracle ωπ.
DOI: 10.57702/gptelare
title: Heart MRI Dataset

description: The heart dataset constitutes 30 MRI scans from a single cardiac phase of the heart. Each image has a voxel resolution of 1.25mm3. Segmentation is carried out using an automated method, with subsequent manual corrections by domain experts.
DOI: 10.57702/fv5rnsvh
title: Random Fragments Classiﬁcation of Microbial Marker Clades with Multi-class SVM and N-Best Algorithm

description: Microbial clades modeling is a challenging problem in biology based on microarray genome sequences, especially in new species gene isolates discovery and category. Marker family genome sequences play important roles in describing specific microbial clades within species, a framework of support vector machine (SVM) based microbial species classification with N-best algorithm is constructed to classify the centroid marker genome fragments randomly generated from marker genome sequences on MetaRef.
DOI: 10.57702/4a601lza
title: Table 2: Maximum accuracy rates of dimension-by-dimension recognition with SVM and top N-Best on DI

description: The dataset contains 12390 marker gene database with different dimension (k-bp).
DOI: 10.57702/0sv49lww
title: Table 3: Maximum accuracy rates of sequence-by-sequence recognition with SVM and top N-Best on DI

description: The dataset contains 12390 marker gene database with different dimension (k-bp).
DOI: 10.57702/r2y2kjld
title: Table 4: Maximum accuracy rates of dimension-by-dimension recognition with SVM and top N-Best on DII

description: The dataset contains 12390 marker gene database with different dimension (k-bp).
DOI: 10.57702/9mr1atjk
title: Table 5: Maximum accuracy rates of sequence-by-sequence recognition with SVM and top N-Best on DII

description: The dataset contains 12390 marker gene database with different dimension (k-bp).
DOI: 10.57702/om4nb6kh
title: Optimal periodic closure for minimizing risk in emerging disease outbreaks

description: The dataset used in this paper is a SEIR-like model for disease outbreaks, with tunable periodic contact rates.
DOI: 10.57702/7gdojsns
title: IIT-JEE dataset

description: The IIT-JEE dataset is a real dataset used in the paper, containing entrance exam results in India in 2009.
DOI: 10.57702/etbo4qbw
title: Malicious RIS versus Massive MIMO

description: This dataset is used to study an attack that leverages a reconfigurable intelligent surface (RIS) to induce harmful interference toward multiple users in massive multiple-input multiple-output (mMIMO) systems during the data transmission phase.
DOI: 10.57702/t6epi4lt
title: LIVE [16], CSIQ [11], TID2013 [13]

description: The dataset used for image quality analysis, specifically for detecting safety hazards in image processing.
DOI: 10.57702/2p74we7h
title: LIVE [16]

description: The dataset used for image quality assessment, specifically for evaluating the performance of image quality assessment methods.
DOI: 10.57702/4bw2dofe
title: CSIQ [11]

description: The dataset used for image quality assessment, specifically for evaluating the performance of image quality assessment methods.
DOI: 10.57702/yd7r6mdv
title: TID2013 [13]

description: The dataset used for image quality assessment, specifically for evaluating the performance of image quality assessment methods.
DOI: 10.57702/kes72k57
title: MPC

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset for conversational agents.
DOI: 10.57702/3kmr3hth
title: Trampoline Skill Identification Dataset

description: A dataset containing 714 skill examples with 20 distinct skills performed by adult male and female gymnasts was recorded and used for evaluation of the system.
DOI: 10.57702/cqfxttfe
title: β-globin gene dataset

description: The dataset contains 11 species of β-globin gene, including Human, Goat, North American opossum, Galus, Black lemur, House mouse, Rabbit, Norway rat, Gorilla, Bovine, and Chimpanzee.
DOI: 10.57702/auiixwf3
title: StoManager1: Automating Stomata Metrics

description: StoManager1: An automated, high-throughput tool to measure leaf stomata using convolutional neural networks.
DOI: 10.57702/jqa5oxta
title: Hardwood Dataset

description: Hardwood dataset containing images of hardwood species.
DOI: 10.57702/1hb0fpxr
title: AttenWalker

description: Unsupervised long-document question answering via attention-based graph walking
DOI: 10.57702/pdvuoewj
title: NarrativeQA

description: The NarrativeQA dataset is a reading comprehension challenge that focuses on questions with a single entity and relation.
DOI: 10.57702/yh3a6i65
title: Container-Railcar LPP Dataset

description: The dataset is used for predicting solutions to a stochastic discrete optimization problem. It contains instances of the load planning problem (LPP) for double-stack intermodal trains.
DOI: 10.57702/fyw2guyl
title: Brian2Loihi: An emulator for the neuromorphic chip Loihi

description: Developing intelligent neuromorphic solutions remains a challenging endeavour. It requires a solid conceptual understanding of the hardware’s fundamental building blocks. Beyond this, accessible and user-friendly prototyping is crucial to speed up the design pipeline. We developed an open source Loihi emulator based on the neural network simulator Brian that can easily be incorporated into existing simulation workﬂows.
DOI: 10.57702/njm38sxu
title: Loihi’s computational unit and its implementation

description: We dissect an individual computational unit from Loihi. The basic building block is a spiking unit inspired by a current based leaky integrate and ﬁre (LIF) neuron model.
DOI: 10.57702/9nv3zwka
title: Precipitation dataset

description: The dataset used in this paper for estimating predictive uncertainty in satellite precipitation interpolation with ensemble learning.
DOI: 10.57702/wvyw3yqp
title: PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching

description: The dataset used in the paper is a human matching dataset, consisting of 7,618 matching decisions from 175 human matchers over common benchmarks.
DOI: 10.5281/zenodo.14590346
title: Supplementary data for "Comprehensive aerial surveys find a reduction in Permian Basin methane intensity from 2020-2023"

description: Supplementary data, mostly detailed numerical results, from Sherwin et al. 2025, "Comprehensive aerial surveys find a reduction in Permian Basin methane intensity from 2020-2023".
DOI: 10.57702/pwtbk97i
title: Compound Expression Recognition via Multi Model Ensemble

description: Compound Expression Recognition (CER) plays a crucial role in interpersonal interactions. Due to the existence of Compound Expressions, human emotional expressions are complex, requiring consideration of both local and global facial expressions to make judgments.
DOI: 10.57702/339q6e0t
title: Identifying machine-paraphrased plagiarism

description: This dataset is used to identify machine-generated paraphrased plagiarism.
DOI: 10.57702/chazitbq
title: ICPR 2012 HEp-2 Cells Classiﬁcation Contest

description: The ICPR 2012 HEp-2 Cells Classiﬁcation Contest dataset is composed of 1456 cells manually segmented from 28 IFF images, and annotated by experts.
DOI: 10.57702/4461u6wc
title: ICIP 2013 Cell Classiﬁcation Contest

description: The ICIP 2013 Cell Classiﬁcation Contest dataset is comprised of more than 13500 cells categorized into 6 classes.
DOI: 10.57702/djmhohv2
title: Cell Protein Classiﬁcation in HPA IF Images

description: The Cell Protein Classiﬁcation in HPA IF Images dataset is comprised of IFF images from the Human Proteins Atlas (HPA) project.
DOI: 10.57702/gc4bi1yx
title: Cross-lingual Test Dataset (XTD10)

description: A new 1K multi-lingual MSCOCO2014 caption test dataset (XTD10) in 7 languages that was collected using a crowdsourcing platform.
DOI: 10.57702/pmfida2f
title: OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

description: The OPIRL dataset is used for training and testing the Off-Policy Inverse Reinforcement Learning (OPIRL) algorithm.
DOI: 10.57702/kp0utaq8
title: Jargon Be Gone–Patient Preference in Doctor Communication

description: Patient preference in doctor communication is an important aspect of healthcare, and researchers have been studying how patients prefer to receive medical information.
DOI: 10.57702/5lt25ned
title: ECG-CODE dataset

description: A dataset for ECG delineation and a self-trained method for improving the quality of fiducial points prediction within an ECG record.
DOI: 10.57702/bz6sg7qz
title: LUDB dataset

description: The dataset used in the paper is the LUDB dataset, which contains approximately 200 ECGs with delineation of the cardiac cycle structure.
DOI: 10.57702/aerdbc14
title: MEDIC

description: MEDIC: A Multi-Task Learning Dataset for Disaster Image Classiﬁcation
DOI: 10.57702/i6t7nmsb
title: Damage Identiﬁcation in Social Media Posts

description: Damage Identiﬁcation in Social Media Posts using Multimodal Deep Learning