cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/9cg2bvk3
title: CASIA-B Gait Dataset

description: The CASIA-B dataset consists of 124 subjects with ten gait sequences each, split into three covariate conditions: normal, carrying a bag, and wearing a coat.
DOI: 10.57702/3d4576k0
title: Political Books Network

description: Political Books Network
DOI: 10.57702/n868kqli
title: Karate Club Network

description: The dataset used in this paper is a karate club network, consisting of 34 nodes, each corresponding to a member of a college karate club.
DOI: 10.57702/tb3vr9z1
title: Dolphins Network

description: Dolphins Network
DOI: 10.57702/qlvrd5uq
title: Co-occurrence Network of Characters of the Les Misérables Novel

description: Co-occurrence Network of Characters of the Les Misérables Novel
DOI: 10.15468/dl.j4ztb4
title: Occurrence Download

description: A dataset containing 11326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Arizona, Arizona (State))",
 "TaxonKey is Aspidoscelis tigris (Baird & Girard, 1852)"
 ]
}

 The dataset includes 11326 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037334-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/mhgebchd
title: Optimal approximation of discrete random variables

description: The dataset used in the paper is a discrete random variable X and a number m.
DOI: 10.57702/m5033zrq
title: Carotene: A Job Title Classification System

description: A dataset of job titles and their corresponding classes.
DOI: 10.57702/2m1e8pru
title: CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation

description: Multimodal sentiment analysis and depression estimation are two important research topics that aim to predict human mental states using multimodal data.
DOI: 10.57702/zo12v3xi
title: AVEC2019 DDS

description: AVEC2019 DDS is a benchmark dataset for depression detection.
DOI: 10.57702/65qf7k3m
title: Price discrimination limits under privacy constraints

description: The dataset used in the paper is a set of consumer and producer utilities pairs that can be achieved by market segmentations under privacy constraints.
DOI: 10.57702/homej00e
title: Hanabi-Map-Elites

description: The dataset is used to evaluate agents for the Hanabi card game, a cooperative card game with imperfect information.
DOI: 10.57702/vlnpx86u
title: Survey Questions

description: The dataset used in this research is a set of 50 questions from diverse fields such as general knowledge, food, and travel.
DOI: 10.57702/8t21xt5k
title: Food-10k Dataset

description: The dataset used in the paper is a large-scale human response dataset collected through Amazon Mechanical Turk.
DOI: 10.57702/xl8p0acu
title: ISPRS 2D semantic labeling benchmark (Vaihingen)

description: The ISPRS 2D semantic labeling benchmark (Vaihingen) dataset is used for evaluating the proposed method.
DOI: 10.57702/m8r37xn1
title: UAVid: A semantic segmentation dataset for UAV imagery

description: The UAVid dataset is used for evaluating the proposed method.
DOI: 10.57702/pdj6emd3
title: Stochastic MDP

description: The dataset used in this paper is a stochastic MDP with |S| = 4 and |A| = 4. One of the states is set to the terminal state, and one of the rest is set to the starting state. The transition probability and reward functions are randomly generated.
DOI: 10.57702/wqiapdz5
title: PDBbind v2020

description: The PDBbind v2020 dataset is a collection of protein-ligand complexes, including structural data and experimental measurements.
DOI: 10.57702/7mu8qpqk
title: Yield Map (fields) data

description: Yield data from combine harvesters on a sub-field level is used as ground truth data. Yield data from Sentinel-2 satellite imagery is used as input data.
DOI: 10.57702/b897mclj
title: Yield Map (sub-field) data

description: Yield data from combine harvesters on a sub-field level is used as ground truth data. Yield data from Sentinel-2 satellite imagery is used as input data.
DOI: 10.57702/apwazqky
title: Soil Data

description: Soil Data includes discrete classes like flood frequency and elements with continuous values, like available water storage.
DOI: 10.57702/r1nf1h2q
title: DEM Data

description: DEM data from NASA’s Shuttle Radar Topography Mission (SRTM)
DOI: 10.57702/5sewwv94
title: Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs

description: Mobile sequential recommendation was originally designed to find a promising route for a single taxicab. Directly applying it for multiple taxicabs may cause an excessive overlap of recommended routes.
DOI: 10.57702/l8ip07hb
title: Oil Separation Deposit Pressure Dataset

description: The dataset used in this paper is a real dataset consisting of a series of oil separation deposit pressure (in Bar) from 57600 samples.
DOI: 10.57702/y6s9lobh
title: Vibration Dataset

description: The dataset used in this paper is a real dataset consisting of a series of vibration samples (in units) from 57600 samples.
DOI: 10.57702/7xx473rw
title: Data-driven control of distributed event-triggered network systems

description: The dataset used in this paper is a network system consisting of N discrete-time linear time-invariant subsystems. The state equation of subsystem i is given by xi(t + 1) = Aixi(t) + ∑j∈N Aijxj(t) + Biui(t).
DOI: 10.57702/9xb7eygr
title: Synthetic Dataset for Metaparametric Neural Networks

description: A synthetic dataset used to evaluate the performance of the proposed metaparametric neural network framework.
DOI: 10.57702/w8g7v4uo
title: Yoochoose-1/4

description: The dataset used in the paper for session-based recommendation.
DOI: 10.57702/z5ienf75
title: Yoochoose-1/64

description: The dataset used in the paper for session-based recommendation.
DOI: 10.57702/158nz8xv
title: IoT testbed dataset

description: The IoT testbed dataset contains data from various IoT devices under different attack conditions.
DOI: 10.57702/hvw2a0mw
title: Multimodal Robustness Benchmark

description: The MMR benchmark is designed to evaluate MLLMs' comprehension of visual content and robustness against misleading questions, ensuring models truly leverage multimodal inputs rather than relying solely on textual reasoning. The MMR-data is generated to enhance MLLMs' understanding capability and robustness by providing a training set with paired positive and negative visual question-answer samples.
DOI: 10.57702/99mwt6a0
title: LLaVA 158k

description: The LLaVA 158k dataset is a large-scale multimodal learning dataset, which is used for training and testing multimodal large language models.
DOI: 10.57702/z2g0o2gn
title: ENCoM

description: ENCoM (Elastic Network Contact Model) for protein dynamics
DOI: 10.57702/ktxjtoxj
title: Sustainable Diversity of Phage-Bacteria Systems

description: The dataset describes the aspects that modulate phage-bacteria interaction in a way that naturally promotes their coexistence.
DOI: 10.57702/dgjop879
title: Even-Parity Problem

description: The dataset used in the paper is the even-parity problem, which is a Boolean function of k Boolean arguments. The dataset consists of 2^n possible input combinations, where n is the number of Boolean inputs.
DOI: 10.57702/wbz4mf4x
title: FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

description: LiDAR segmentation is crucial for autonomous driving systems. The recent range-view approaches are promising for real-time processing. However, they suffer inevitably from corrupted contextual information and rely heavily on post-processing techniques for prediction refinement.
DOI: 10.57702/cyys171o
title: Panoptic nuScenes

description: Panoptic nuScenes is a multimodal dataset for lidar panoptic segmentation and tracking.
DOI: 10.57702/ejhfqmct
title: BERTEdu

description: The dataset used in the paper is a Chinese education pre-trained language model BERTEdu and a large education domain corpus of all structural exercise database.
DOI: 10.57702/xg5ckezg
title: Junior Mathematics Dataset

description: The dataset used in the paper is a junior mathematics dataset containing 350K exercises.
DOI: 10.57702/rqztm0rc
title: Randomized Controlled Trial of treatment

description: The data is used to test the eﬀect of treatment on the response. The data is sampled from a uniform distribution over all the subsets of N of size s, and the set of treated people contains a higher proportion from A than the set of untreated people.
DOI: 10.57702/nhu27175
title: Negative Correlation Ensemble for Adversarial Examples Defense

description: The FashionMNIST and CIFAR-10 datasets are used to evaluate the performance of the Negative Correlation Ensemble (NCEn) defense strategy.
DOI: 10.57702/g7nrvmic
title: Zero-Shot Fine-Grained Classiﬁcation by Deep Feature Learning with Semantics

description: Fine-grained image classiﬁcation, which aims to distinguish images with subtle distinctions, is a challenging task due to two main issues: lack of sufﬁcient training data for every class and difﬁculty in learning discriminative features for representation.
DOI: 10.57702/ll4uttb8
title: Array Imaging of Range-Limited Target Scenes

description: The dataset used in this paper for array imaging of range-limited target scenes.
DOI: 10.57702/skk713t9
title: CitySearch

description: The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments.
DOI: 10.57702/jluwlafj
title: Sem2015-Laptop

description: The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments.
DOI: 10.57702/81onod0q
title: SemEval 2014 Laptop and Restaurant Reviews

description: Aspect-based sentiment analysis (ABSA) aims to predict the sentiment towards a specific aspect in the text. However, existing ABSA test sets cannot be used to probe whether a model can distinguish the sentiment of the target aspect from the non-target aspects.
DOI: 10.57702/3x7mb6ok
title: Aspect Robustness Test Set (ARTS)

description: The Aspect Robustness Test Set (ARTS) is a comprehensive probe of the aspect robustness of ABSA models.
DOI: 10.57702/t5ts7urk
title: Diversiﬁed dynamical gaussian process latent variable model for video repair

description: The dataset used in this paper is a video sequence, which is used to test the proposed algorithm for video repair.
DOI: 10.57702/nzgqeoba
title: Speedup matrix completion with side information: application to multi-label learning

description: The dataset used in this paper is a multi-label learning dataset, which is used to test the proposed algorithm for multi-label learning.
DOI: 10.57702/mk1o8sd7
title: Side information in robust principal component analysis: Algorithms and applications

description: The dataset used in this paper is a face denoising dataset, which is used to test the proposed algorithm for face denoising.
DOI: 10.57702/z49n2thf
title: Multilingual dataset

description: A high-quality dataset in English and 12 other languages, augmented with rhyme schema at the paragraph level.
DOI: 10.57702/jc34zld9
title: Euclidean Distance Matrix Completion for Rigid Body Localization

description: The dataset used in the paper is a Euclidean distance matrix (EDM) completion problem for rigid body localization (RBL) in harsh environments.
DOI: 10.57702/34go12tf
title: FedMSRW: Federated MS Lesion Segmentation via Dynamic Re-Weighting Mechanisms

description: MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
DOI: 10.57702/c84rvrqp
title: Ten standard datasets

description: The authors used ten standard datasets, including Abalone, Car, Chess, Glass, Ionosphere, Iris, Liver, Redwine, Seeds, and Divorce.
DOI: 10.57702/d023acri
title: E. coli glucose pulse response

description: The dataset used in this paper is a real-world bacterial data set, specifically the response of the bacterium E. coli to a glucose pulse.
DOI: 10.57702/zpayv7rv
title: Simulated E. coli network data

description: The dataset used in this paper is a simulated data set, generated using the E. coli network.
DOI: 10.57702/6cysl5ev
title: Acoustic Scattering Data

description: The dataset for acoustic scattering from convex prism shapes, used to train a convolutional neural network for fast modeling of diffracted occlusion and scattering.
DOI: 10.57702/1081qmg5
title: MODIS Multi-Band Image Dataset

description: The dataset contains MODIS multi-band images processed into a user-friendly framework.
DOI: 10.57702/b8jap0n9
title: FourSquare shopping places dataset

description: FourSquare shopping places dataset from 5 cities in Indonesia. It consists of 1) 176 shopping places data, 2) 3844 visitors' reviews, and 3) 14309 users data.
DOI: 10.57702/w3jhw8f9
title: Feedback Vertex Set Problem

description: The dataset used in the paper is a set of undirected graphs, specifically Erdoøs-Renyi random graphs and regular random graphs.
DOI: 10.57702/cxgrm8sr
title: Identiﬁcation of Parameters for Large-scale Kinetic Models

description: Numerical method for the inverse problem on the identiﬁcation of parameters for large-scale systems of non-linear ordinary diﬀerential equations (ODEs) arising in systems biology is introduced.
DOI: 10.57702/hg4j1gus
title: Three-step Pathway Model

description: Benchmark kinetic model of a biological network for a three-step pathway modeled by 8 nonlinear ODEs describing 8 metabolic concentrations and 36 parameters.
DOI: 10.57702/xbmzp59a
title: Physics-Informed Neural Operator (PINO) dataset

description: The dataset used in the paper for training and testing the Physics-Informed Neural Operator (PINO) model.
DOI: 10.57702/f8s37znk
title: Socher et al. (2013) dataset

description: The dataset used in the paper is a large-scale corpus of movie reviews from the Socher et al. (2013) dataset.
DOI: 10.57702/a5co2uxa
title: PGDP5K: A Diagram Parsing Dataset for Plane Geometry Problems

description: A large-scale geometry diagram parsing dataset for plane geometry problems, consisting of 5000 diagram samples with fine-grained annotations.
DOI: 10.57702/4miuxd0y
title: GeoQA: A Geometric Question Answering Benchmark

description: A dataset for geometry problem solving, containing geometric diagrams and corresponding text contents.
DOI: 10.57702/4b1uv2pq
title: Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks

description: A dataset for discourse in multimedia, focusing on questions with a single entity and relation.
DOI: 10.57702/zkf4st0z
title: Ontology Web Search Engine

description: Ontology Web Search Engine is a project that incarnated the ability of ontology search in the Web.
DOI: 10.57702/h7cfolx4
title: SWOOGLE

description: SWOOGLE is a Semantic Web search engine for indexing and retrieving Semantic Web documents including RDF and OWL.
DOI: 10.57702/ljrm2uip
title: MOON dataset

description: The MOON dataset is used to test the proposed TEMP-based spiking neural network.
DOI: 10.57702/33kgz444
title: Partial Multi-View Clustering

description: Partial multi-view clustering
DOI: 10.57702/kkwoazc7
title: CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network

description: Cognitive Deep Incomplete Multi-view Clustering Network
DOI: 10.57702/2bna8jwv
title: Generative Partial Multi-view Clustering With Adaptive Fusion and Cycle Consistency

description: Generative Partial Multi-view Clustering With Adaptive Fusion and Cycle Consistency
DOI: 10.57702/9sce2c2w
title: iCmSC: Incomplete Cross-Modal Subspace Clustering

description: Incomplete Cross-Modal Subspace Clustering
DOI: 10.57702/qyj42m97
title: News-to-Report Dataset

description: A dataset for automatically generating macro research reports from economic news.
DOI: 10.57702/g7kl9eda
title: DelugeNets: Deep Networks with Efﬁcient and Flexible Cross-layer Information Inﬂows

description: Deluge Networks are deep neural networks which efficiently facilitate massive cross-layer information inﬂows from preceding layers to succeeding layers.
DOI: 10.57702/9jivx18s
title: Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

description: Graph pooling is an essential component of the architecture for many graph-level tasks, such as graph classification and graph generation.
DOI: 10.57702/eyb77ufn
title: TUDataset

description: The TUDataset is a collection of benchmark datasets for learning with graphs. It contains 14 datasets, each with a different type of graph.
DOI: 10.57702/ki5aw4he
title: MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages

description: Text detoxification is a textual style transfer task where a text is paraphrased from a toxic surface form, e.g. featuring rude words, to the neutral register.
DOI: 10.57702/kbm3uqsx
title: ParaDetox: Detoxification with Parallel Data

description: Text detoxification is a textual style transfer task where a text is paraphrased from a toxic surface form, e.g. featuring rude words, to the neutral register.
DOI: 10.57702/iw1fjmxn
title: Ontological Knowledge Representation for Smart Agriculture

description: A dataset for smart agriculture, representing knowledge extracted from primary data collected from IoT devices.
DOI: 10.57702/kd3oymya
title: New Zealand COVID-19 pandemic forecasting dataset

description: The dataset for New Zealand COVID-19 pandemic forecasting using spatio-temporal graph neural networks.
DOI: 10.57702/qiv85g91
title: Determination of folding free energies in single-molecule experiments

description: The dataset used in the paper is a collection of single-molecule pulling experiments using laser optical tweezers (LOT) to measure the folding free energies of DNA and RNA hairpins.
DOI: 10.57702/hlrs3l6c
title: Learning Trajectories are Generalization Indicators

description: This paper explores the connection between learning trajectories of Deep Neural Networks (DNNs) and their generalization capabilities when optimized using stochastic gradient descent algorithms.
DOI: 10.57702/xmftl4dt
title: MNIST, Fashion MNIST, and CIFAR-10

description: The dataset used in the paper is MNIST, Fashion MNIST, and CIFAR-10.
DOI: 10.57702/9ih5nwp2
title: SHELS

description: The dataset used in the paper is SHELS.
DOI: 10.57702/z2wcia69
title: GEDDnet: A Network for Gaze Estimation with Dilation and Decomposition

description: The dataset is used for appearance-based gaze estimation with dilation and decomposition.
DOI: 10.57702/nkx1inqd
title: Gaze Locking: Passive Eye Contact Detection for Human-Object Interaction

description: The dataset is used for gaze locking and human-object interaction.
DOI: 10.57702/t42h5kne
title: NISLGaze: A Large-Scale Eye Tracking Dataset

description: The dataset is used for gaze estimation and analysis.
DOI: 10.57702/r4mwy8vf
title: Soil dataset

description: Soil dataset containing pH, EC, CEC, and chemical characteristics of soil samples.
DOI: 10.57702/b3vu1x5o
title: NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance

description: LiDAR simulation aims at generating realistic LiDAR data with labels for training and verifying self-driving algorithms more efficiently.
DOI: 10.57702/m7zi724j
title: Design and use paradigms for gazebo, an open-source multi-robot simulator

description: Design and use paradigms for gazebo, an open-source multi-robot simulator.
DOI: 10.57702/ktlz87lx
title: ANN dataset for traﬃc volume estimation

description: The dataset used for training and testing the proposed ANN model, containing hourly volumes and explanatory variables.
DOI: 10.57702/qtd3no2k
title: Maryland highway mobility report dataset

description: The dataset used for testing the proposed ANN model, containing hourly volumes and explanatory variables.
DOI: 10.57702/34upcxet
title: Vehicle probe data

description: The dataset used for testing the proposed ANN model, containing hourly volumes and explanatory variables.
DOI: 10.57702/aa1kepwr
title: Wavelet-based Dynamic Mode Decomposition (WDMD) dataset

description: The dataset is used to test the Wavelet-based Dynamic Mode Decomposition (WDMD) methodology. It consists of input-output trajectories of a cantilever beam model.
DOI: 10.57702/enijgpus
title: Active Defense Multi-Agent Communication (ADMAC)

description: The dataset used in the paper is a multi-agent communication framework, which is used to evaluate the performance of different communication strategies in a multi-agent system.
DOI: 10.7912/d2/36
title: Data for Artemisinin partial resistance in Ugandan Children with Complicated Malaria
DOI: 10.60520/ieda/113163
title: Chemical-physical parameters, major, minor and trace elements composition of groundwater belonging to the hydrological basin of the Catania Plain in Sicily (ltaly)

description: "The area study area represents the hydrological basin of the Catania Plain.
Geochemical methods have been a useful tools for understanding processes altering the quality of groundwaters during their flow, such as the interactions between host rocks and groundwater and pollution coming from human activities. Records include: chemical-physical parameteres, major elements, minor elements and trace elements composition of water collected from 2 springs and 46 wells in the 2004-2005. This study is part of the Water Protection Plan of the Region of Sicily"
description: S. Morici, E. Gagliano Candela, R. Favara, L. La Pica, C. Scaletta, G. Pecoraino, (2023), "Characterization of the alluvial aquifer of Catania Plain, Sicily (South Italy)". Environmental Earth Sciences, Volume (82), 144
DOI: 10.6084/m9.figshare.26052328.v1
title: Supporting data for "Tunable quantum emitters on large-scale foundry silicon photonics"

description: Supporting data for "Tunable quantum emitters on large-scale foundry silicon photonics"
DOI: 10.6084/m9.figshare.26052328
title: Supporting data for "Tunable quantum emitters on large-scale foundry silicon photonics"

description: Supporting data for "Tunable quantum emitters on large-scale foundry silicon photonics"
DOI: 10.15468/dl.2736q4
title: Occurrence Download

description: A dataset containing 253425 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 ((144.4933 -15.76089, 145.3916 -15.76089, 145.3916 -14.86257, 144.4933 -14.86257, 144.4933 -15.76089))",
 "Year is less than 2025"
 ]
}

 The dataset includes 253425 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037335-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmxvbu
title: Occurrence Download

description: A dataset containing 1513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pometia pinnata J.R.Forst. & G.Forst.",
 "Country is Indonesia"
 ]
}

 The dataset includes 1513 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037336-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14503863
title: 22 Tragedies

description: Mentions of places in 22 tragedies, 11 by Shakespeare and 11 by other playwrights, with latitude and longitude and place name word-forms and gazetteer-type locations.
DOI: 10.5281/zenodo.14503864
title: 22 Tragedies

description: Mentions of places in 22 tragedies, 11 by Shakespeare and 11 by other playwrights, with latitude and longitude and place name word-forms and gazetteer-type locations.