cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/o6ycaymm
title: VisImages

description: VisImages is a dataset of 12,267 images with captions from 1,397 papers in IEEE InfoVis and VAST. It includes 35,096 visualizations and their bounding boxes.
DOI: 10.57702/h69gq014
title: VizioMetrics

description: VizioMetrics is a dataset of 5,000 bitmap images and 30,000 textual annotations.
DOI: 10.57702/7am1ona5
title: Warehouse Games

description: A set of 25 Warehouse Games, each resembling a situation of patrolling a warehouse building.
DOI: 10.57702/isfanru7
title: TL;DR: Mining reddit to learn automatic summarization

description: The authors used the TL;DR dataset, which consists of reddit posts with summaries.
DOI: 10.57702/7xfcg8sn
title: Adversarial Training for Binary Classiﬁcation

description: The dataset used in this paper is a binary classiﬁcation dataset, where the goal is to train a classiﬁer that can robustly classify data points in the presence of adversarial attacks.
DOI: 10.57702/owkhwknq
title: Chemical-Disease Relations (CDR) dataset

description: The Chemical-Disease Relations (CDR) dataset was built for the BioCreative V challenge and annotated with one relation "chemical-induced disease" manually.
DOI: 10.57702/4nz758rw
title: Lips-State Detection Using CNN for Non-Verbal Communications

description: A dataset for lips-state detection using CNN for non-verbal communications
DOI: 10.57702/k0znqo8z
title: Farec—CNN based Efficient Face Recognition Technique using DLIB

description: A dataset for face recognition using CNN-based efficient face recognition technique
DOI: 10.57702/g3gvwng6
title: Anchorface: An Anchor-Based Facial Landmark Detector Across Large Poses

description: A dataset for anchorface: an anchor-based facial landmark detector across large poses
DOI: 10.57702/ltbv1m7n
title: ANYU

description: Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
DOI: 10.57702/hu3cr1bp
title: 40 Mini Markers

description: 40 Mini Markers
DOI: 10.57702/ax4gsqw7
title: friendster

description: The friendster dataset is a social network dataset.
DOI: 10.57702/0z61pi7n
title: DeepTagRec: A Tag Recommendation Framework

description: A content-cum-user based deep learning framework for tag recommendation model which takes advantage of the content of the question text and is further enhanced by the rich relationships among the users and tags in Stack Overﬂow.
DOI: 10.57702/xkytd30f
title: SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

description: The dataset used in the paper for the SemEval-2021 task 6: Detection of persuasion techniques in texts and images using CLIP features.
DOI: 10.57702/5hfwox2c
title: 3-D Quadrotor Dynamics and State Space Modelling

description: The dataset used in this paper is a 3-D quadrotor dynamics and state space modelling.
DOI: 10.57702/r9dmam4d
title: Causal blankets: Theory and algorithmic framework

description: The dataset used in this paper is a multivariate stochastic process M, A, E, S whose dynamics follows Eq. (2).
DOI: 10.57702/ftzdhohe
title: Automatic Detection and Classiﬁcation of Symbols in Engineering Drawings

description: A method of finding and classifying various components and objects in a design diagram, drawing, or planning layout is proposed.
DOI: 10.57702/els8jm5p
title: Synthetic b1000 and b3000 datasets

description: Synthetic phantom datasets generated with phantomas4.
DOI: 10.57702/a5an34vq
title: wav2vec: Unsupervised Pre-Training for Speech Recognition

description: Unsupervised Pre-Training for Speech Recognition
DOI: 10.57702/fdli7jnl
title: HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

description: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
DOI: 10.57702/p0qcmt5p
title: Sensor Network with Oﬀset Errors

description: The dataset used in the paper is a sensor network plagued with oﬀset errors, where each sensor collects measurements under a linear Gaussian model, and measures an underlying signal subspace of rank-1.
DOI: 10.57702/rvssg5fy
title: Sensor Network Measurements

description: The dataset used in the paper is a network of N sensor nodes, where each sensor collects K ≥ N measurements.
DOI: 10.57702/wkdnsnag
title: REFIND: Relation Extraction Financial Dataset

description: Relation extraction financial dataset
DOI: 10.57702/t87daftk
title: Stacked Cross Attention

description: The dataset used in the paper is Stacked Cross Attention for Image-Text Matching.
DOI: 10.57702/rros1xp3
title: RSVP

description: Physiological datasets for brain-computer interface (BCI) applications
DOI: 10.57702/k7f5go45
title: Faces Noisy

description: Physiological datasets for brain-computer interface (BCI) applications
DOI: 10.57702/gwengb8v
title: Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations

description: A fast and automated deep-learning method to construct simulation-suitable models of the heart from medical images.
DOI: 10.57702/iwmh947p
title: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

description: A public dataset of four-chamber heart meshes for cardiac electro-mechanics simulations.
DOI: 10.57702/kxhbk887
title: A benchmark for the comparison of 3D motion segmentation algorithms

description: A benchmark for the comparison of 3D motion segmentation algorithms.
DOI: 10.57702/zy2zfdd1
title: Feynman Symbolic Regression Database

description: The Feynman Symbolic Regression Database contains 100 regression mysteries drawn from the Feynman Lectures on Physics and a bonus set of an additional 20 mysteries selected for difficulty and fame.
DOI: 10.57702/daizt9b4
title: TS-ENAS: Two-Stage Evolution for Cell-based Network Architecture Search

description: The proposed algorithm uses three benchmark classification problems from Fashion-MNIST, CIFAR10, and CIFAR100.
DOI: 10.57702/uh49mtxu
title: Deep Siamese Attention Networks for Video-based Person Re-identiﬁcation

description: Video-based person re-identiﬁcation (re-id) is a cen-
DOI: 10.57702/h3kyy48b
title: Person re-identiﬁcation by symmetry-driven accumulation of local features

description: Person re-identiﬁcation using kernel-based metric learning methods
DOI: 10.57702/p2shln48
title: MARS: A video benchmark for large-scale person re-identiﬁcation

description: MARS is an extension of the Market-1501 dataset [51]. It has been collected from six near-synchronized cameras. It consists of 1,261 different pedestrians, who are captured by at least 2 cameras.
DOI: 10.57702/2sq3hiyh
title: Recurrent convolutional network for video-based person re-identiﬁcation

description: Recurrent convolutional network for video-based person re-identiﬁcation
DOI: 10.57702/r46iabje
title: Generalization bound for kernel similarity learning

description: Similarity learning has received a large amount of interest and is an important tool for many scientiﬁc and industrial applications. In this framework, we wish to infer the distance (similarity) between points with respect to an arbitrary distance function d.
DOI: 10.57702/mqrofkxl
title: Disturbing Image Detection Using LMM-Elicited Emotion Embeddings

description: Disturbing Image Detection (DID) refers to the task of detecting content in images that can cause trauma to the viewers. It may include images that depict violence, pornography, animal cruelty, disasters. Such content elicits anxiety or/and fear to viewers, while it is noted that viewers who are systematically exposed to such content are at risk of experiencing severe psychological distress.
DOI: 10.57702/x1zt7ry4
title: IPUMS-US dataset

description: The dataset used in this paper is the IPUMS-US dataset, which contains census and survey data from the United States.
DOI: 10.57702/hlilfflj
title: IPUMS-BR dataset

description: The dataset used in this paper is the IPUMS-BR dataset, which contains census and survey data from Brazil.
DOI: 10.57702/16tektsg
title: EURO STOXX 50 options

description: The dataset is used to test the calibration of the ATS with constant ηt on the S&P 500 and EURO STOXX 50 options.
DOI: 10.57702/o74q6u5j
title: RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

description: Successful point cloud registration relies on accurate correspondences established upon powerful descriptors. However, existing neural descriptors either leverage a rotation-variant backbone whose performance declines under large rotations, or encode local geometry that is less distinctive.
DOI: 10.57702/ty0qftq9
title: Ultra-high-resolution monitoring of progressive building collapse

description: The dataset is used for 3D reconstruction and change detection using UAV oblique photogrammetry.
DOI: 10.57702/hu053obr
title: NASA Shuttle Radar Topography Mission (SRTM) Global 1 Arc Second

description: The SRTM dataset is a global digital elevation model (DEM) of the Earth's surface.
DOI: 10.57702/z1fygyp6
title: Field Multi-tiling (NERF)—Geometric assessment on large-scale aerial datasets

description: The dataset is used for 3D reconstruction and change detection using UAV oblique photogrammetry.
DOI: 10.57702/mlkzkted
title: Traveling Salesman Problem (TSP) instances

description: The dataset used in the paper is the Traveling Salesman Problem (TSP) instances, specifically the Burma'7 instance, and six additional instances with 5 to 14 nodes.
DOI: 10.57702/wid6h02y
title: Modeling Access Differences to Reduce Disparity in Resource Allocation

description: The dataset used in the paper modeling access differences to reduce disparity in resource allocation.
DOI: 10.57702/04tejccm
title: VoxForge dataset

description: The VoxForge dataset is a collection of audio recordings of human speech.
DOI: 10.57702/0gvhvc98
title: BARS Dataset

description: Clinical scales data from 195 subjects, including control subjects and those with ataxia and parkinsonism.
DOI: 10.57702/x1251kc0
title: MLonMCU: TinyML Benchmarking with Fast Retargeting

description: TinyML benchmarking with Fast Retargeting
DOI: 10.15468/dl.f4jyyt
title: Occurrence Download

description: A dataset containing 40174 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((114.1986 -27.97928, 115.0969 -27.97928, 115.0969 -27.08097, 114.1986 -27.08097, 114.1986 -27.97928))",
 "Year is less than 2025"
 ]
}

 The dataset includes 40174 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037326-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/mwrn1uv8
title: Neural Network for Normality Test

description: The neural network from [35] that was developed to classify distributions as normal or non-normal by inspecting small samples from it.
DOI: 10.57702/tyvamw6d
title: German Credit Data, Adult Dataset, Fannie Mae Loan Perf., and Drawing Recognition dataset

description: The dataset used in the paper is the German Credit Data, Adult Dataset, Fannie Mae Loan Perf., and Drawing Recognition dataset.
DOI: 10.57702/pxscppxo
title: Fannie Mae Loan Perf. dataset

description: The Fannie Mae Loan Perf. dataset is used to predict loan performance.
DOI: 10.57702/q8n1xfmo
title: Drawing Recognition dataset

description: The Drawing Recognition dataset is used to recognize drawings.
DOI: 10.57702/a6h4ml2t
title: Distributional Reinforcement Learning for Scheduling of Chemical Production Processes

description: The dataset used in this paper is a multi-product plant where the conversion of raw material to product only requires one processing stage.
DOI: 10.57702/94wkx9i1
title: SemEval-2020 Task 4: Commonsense Validation and Explanation (ComVE)

description: The dataset for SemEval-2020 Task 4: Commonsense Validation and Explanation (ComVE) consists of 10 sentences: two similar sentences and three options each.
DOI: 10.57702/tle1s0pp
title: OntoNotes dataset

description: The OntoNotes dataset contains 3.4M automatically labeled entity mentions for training and 11k manually annotated instances that are split into 8k for dev set and 2k for test set.
DOI: 10.57702/flm36gkr
title: Hierarchical Exponential-family Energy-based (HEE) model

description: The HEE model uses 2D synthetic datasets and FashionMNIST to validate its capabilities.
DOI: 10.57702/kz0xuhob
title: Hierarchical Exponential-family Energy-based (HEE) model on CIFAR10

description: The HEE model uses CIFAR10 to demonstrate its ability to generate high-quality images.
DOI: 10.57702/io2c44bv
title: MIDOG Dataset

description: The dataset used for the Mitosis Domain Generalization (MIDOG) challenge, containing histology images with annotated mitotic figures.
DOI: 10.57702/mtr6lfmz
title: WMT 2015

description: The dataset used for building the NMT model, which is a German-to-English parallel corpus.
DOI: 10.15468/dl.jnucu8
title: Occurrence Download

description: A dataset containing 218129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 218129 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037316-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/jj6i9dxe
title: EMEA

description: The dataset used for fine-tuning the NMT model, which is a health domain dataset.
DOI: 10.57702/dbwcqh2a
title: Generated datasets for frequent itemset mining algorithms

description: Generated datasets for frequent itemset mining algorithms Apriori, Eclat, and FP-Growth.
DOI: 10.57702/n2af62po
title: Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases

description: The dataset used in this paper is a set of two-player zero-sum games with bilinear loss functions.
DOI: 10.57702/h2qnp20w
title: SupDef

description: A dataset for surgical scene tracking and reconstruction
DOI: 10.15468/dl.xbmhkc
title: Occurrence Download

description: A dataset containing 21385 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((134.7825 -26.68424, 135.6808 -26.68424, 135.6808 -25.78593, 134.7825 -25.78593, 134.7825 -26.68424))",
 "Year is less than 2025"
 ]
}

 The dataset includes 21385 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037327-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ljr91m00
title: Open Graph Benchmark (OGB) - proteins dataset

description: Graph representation learning typically aims to learn an informative embedding for each graph node based on the graph topology (link) information.
DOI: 10.57702/m8i48joh
title: AVIC corpus

description: The AVIC corpus is an audiovisual dataset containing scenario-based dyadic interactions.
DOI: 10.57702/jrztuqxs
title: STPLS3D: A large-scale synthetic and real aerial photogrammetry 3D point cloud dataset

description: STPLS3D: A large-scale synthetic and real aerial photogrammetry 3D point cloud dataset
DOI: 10.57702/4wfqhhmu
title: Masked Face Recognition Dataset

description: The Real-world Masked Face Recognition Dataset (RMFRD) and the Simulated Masked Face Recognition Dataset (SMFRD) contain images of faces with masks.
DOI: 10.57702/t53tj5aa
title: Rotator Experiment

description: The dataset used in the paper is a pendulum experiment.
DOI: 10.57702/fpxxsly7
title: KTH action recognition database

description: The KTH action recognition database contains 6 actions performed by 25 human subjects in 4 scenarios.
DOI: 10.57702/azp92li0
title: Mass spectrometry for semi-experimental protein structure determination and modeling

description: The dataset used for semi-experimental protein structure determination and modeling using mass spectrometry.
DOI: 10.57702/syoseykd
title: Chinese–Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

description: Chinese–Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information
DOI: 10.57702/1ep0re2t
title: Asian Scientific Paper Excerpt Corpus (ASPEC)

description: Asian Scientific Paper Excerpt Corpus (ASPEC)
DOI: 10.57702/3ht3xhei
title: Molecular Dynamics Simulation Dataset

description: Molecular Dynamics (MD) simulation datasets of the four folding proteins for analysis were generated by Lindorff-Larsen et al.
DOI: 10.57702/v0i7ehyq
title: Automatic Feature Selection in Markov State Models Using Genetic Algorithm

description: Molecular Dynamics (MD) simulation datasets of the four folding proteins for analysis were generated by Lindorff-Larsen et al.
DOI: 10.57702/9i2d8321
title: How fast-folding proteins fold

description: Molecular Dynamics (MD) simulation datasets of the four folding proteins for analysis were generated by Lindorff-Larsen et al.
DOI: 10.57702/9a5cubx5
title: US EPA. 2017 National Emissions Inventory (NEI) Data

description: This paper presents a dataset of freight trucking emissions, public health and climate damages, and distributional effects.
DOI: 10.57702/wqyeo1ly
title: US Department of Transportation. 2017 CFS Preliminary Data Bureau of Transportation Statistics

description: This paper presents a dataset of freight trucking emissions, public health and climate damages, and distributional effects.
DOI: 10.57702/88d3gg61
title: Synthetic datasets for 3D fluorescence microscopy images

description: Synthetic datasets for 3D fluorescence microscopy images
DOI: 10.57702/dfgif22z
title: C. elegans dataset for 3D fluorescence microscopy images

description: C. elegans dataset for 3D fluorescence microscopy images
DOI: 10.57702/tm5hycn1
title: ONNX

description: The ONNX dataset is used to test the onnx-mlir compiler.
DOI: 10.57702/da857a6z
title: MNIST and ResNet50

description: The MNIST and ResNet50 datasets are used to test the onnx-mlir compiler.
DOI: 10.57702/7rbavq00
title: FuelVision: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping

description: The dataset used for fuel mapping, combining Landsat-8 optical imagery, Sentinel-1 (C-band) Synthetic Aperture Radar (SAR) imagery, PALSAR (L-band) SAR imagery, and terrain features.
DOI: 10.57702/cf1zk8x5
title: Forest Inventory and Analysis (FIA) Database

description: The Forest Inventory and Analysis (FIA) database contains information on forest ecosystems, including fuel types and distributions.
DOI: 10.34740/kaggle/dsv/10220622
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.57702/agw4aqth
title: Expository Writing Dataset

description: A dataset for expository writing tasks, including summarization, expert writing, and augmented writing.
DOI: 10.57702/wxxdmxek
title: Volatility Derivatives

description: The dataset used in this paper is a collection of volatility derivatives with payoﬀs of the form (3.8) and (4.10).
DOI: 10.57702/yvel6384
title: Lifted Variable Elimination with Arbitrary Constraints

description: The dataset used in this paper for lifted variable elimination with arbitrary constraints.
DOI: 10.57702/dzju401c
title: CICIDS 2018 Dataset

description: The CICIDS 2018 dataset is a real-time network traffic dataset.
DOI: 10.57702/pgeweu5d
title: Real-World Challenging Occlusion (ReaChOcc) dataset

description: Real-world challenging occlusion face dataset, ReaChOcc, containing 550 face images gathered from various open sources.
DOI: 10.57702/f4wncroa
title: Synthetic Challenging Occlusion (SynChOcc) dataset

description: Synthetic challenging occlusion face dataset, SynChOcc, containing 550 face images of 50 subjects.
DOI: 10.57702/u3yiur9e
title: Criteo Uplift Prediction Dataset

description: The dataset used in the paper is a large-scale advertising dataset, which includes 13,979,592 rows, each representing a user with 11 features, a treatment indicator for the ad, and the labels (visits and conversions).
DOI: 10.57702/64iji6dq
title: TOEFL 11

description: Dataset for NLI Shared Task 2013 containing essays written by students native speakers of eleven languages.
DOI: 10.57702/ux5kx3p4
title: Scaling of ineﬃciencies in the U.S. equity markets

description: The dataset contains quote dislocations between the SIP National Best Bid and Offer (NBBO) and a synthetic BBO constructed from direct feeds.
DOI: 10.6084/m9.figshare.28003610.v1
title: Data for Study of the impact of Iraqi <i>Callistemon viminalis</i> extract on collagen-induced arthritis in a rat model

description: data for research paper
DOI: 10.57702/maea0ido
title: Realized Opportunity Cost

description: The dataset contains information about the realized opportunity cost (ROC) of using F1 instead of F2.
DOI: 10.57702/z2evz91w
title: Optimality of Robust Online Learning

description: The dataset used in this paper is a sequence of random samples independently distributed from a probability distribution ρ.
DOI: 10.57702/mwzwwcxc
title: REFLACX

description: The REFLACX dataset contains reports and eye-tracking data for localization of abnormalities in chest x-rays.
DOI: 10.57702/phhlscz8
title: Multi-Fashion+Multi-MNIST

description: The dataset used in the paper is a multi-task learning dataset, where the goal is to learn a shared feature extractor and a task-specific predictor for multiple tasks.
DOI: 10.57702/mlm7cemn
title: DRiLLS: Deep Reinforcement Learning for Logic Synthesis

description: Logic synthesis requires extensive tuning of the synthesis optimization flow where the quality of results (QoR) depends on the sequence of optimizations used. The authors propose a novel reinforcement learning-based methodology that navigates the optimization space without human intervention.
DOI: 10.57702/gq9ghuey
title: Booking Labeled Dataset

description: The dataset used for training a text classiﬁer to learn the polarity of hotel reviews.