cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/3u4a1jdk
title: NOAA Oceanic Climate Data Records (CDR)

description: NOAA Oceanic Climate Data Records (CDR) dataset contains oceanic climate data records, including Essential Climate Variables (ECVs).
DOI: 10.57702/0p99rpj3
title: Kernel Mean Embeddings for Functions of Random Variables

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used kernel mean embeddings to estimate functions of random variables.
DOI: 10.57702/gcghnpqh
title: Dataset for Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States

description: The dataset used in the paper is a time series data with four latent states with transition matrix A and Gaussian emission densities.
DOI: 10.57702/od36gbp7
title: Light Federated and Continual Consensus (LFedCon2)

description: A federated and continual learning framework for classification tasks in a society of devices
DOI: 10.57702/q4kjostm
title: Walking Recognition Dataset

description: A dataset for walking recognition in mobile devices
DOI: 10.57702/4m8s4gie
title: Wildfire Containment Task

description: The dataset used in the paper is a POMDP problem with a large action space. The dataset is used to test the performance of the PA-POMCPOW algorithm.
DOI: 10.57702/xmax6bn3
title: Polymetric Rhythmic Feel for a Cognitive Drum Computer

description: The dataset is a collection of rhythmic patterns of West African percussion music, analyzed to identify micro-timing patterns.
DOI: 10.57702/i36dmuja
title: WN18RR, YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2

description: The dataset used in the paper is a knowledge graph, specifically WN18RR, YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2.
DOI: 10.57702/iehpybp3
title: NELL995, WN18RR, DDB14

description: The dataset used in the paper is a knowledge graph, specifically NELL995, WN18RR, DDB14.
DOI: 10.57702/6gvv31gk
title: YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2

description: The dataset used in the paper is a knowledge graph, specifically YAGO3-10, FB15k-237, CoDEx-S, HetioNet, and ogbl-wikikg2.
DOI: 10.57702/jn6g06wq
title: JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching

description: JOBSKAPE is a framework for generating synthetic job postings to enhance skill matching. It generates realistic job description sentences that align closely with actual job postings.
DOI: 10.57702/3mpeglu0
title: DECORTE: A Synthetic Training Dataset for Skill Matching

description: DECORTE is a synthetic training dataset for skill matching, generated using GPT-4.
DOI: 10.57702/z6xybn77
title: SKILLSKAPE: A Synthetic Dataset of Job Postings Labeled with ESCO Skills

description: SKILLSKAPE is a synthetic dataset of job postings labeled with ESCO skills.
DOI: 10.57702/qgqwq95t
title: Sample Complexity of Probability Divergences under Group Symmetry

description: The dataset used in this paper is the LYSTO dataset, which contains whole-slide prostate cancer images.
DOI: 10.57702/amk98z3b
title: Wikipedia Neutrality Corpus

description: This dataset is used to test the ability of large language models to detect and correct biased Wikipedia edits according to Wikipedia's Neutral Point of View (NPOV) policy.
DOI: 10.57702/9nkguzl4
title: Universal Conceptual Cognitive Annotation (UCCA)

description: The Universal Conceptual Cognitive Annotation (UCCA) dataset is a graph-based semantic annotation scheme based on typological linguistic principles.
DOI: 10.57702/q8j4qv8f
title: Global Sea Level Pressure (SLP) dataset

description: Global Sea Level Pressure (SLP) dataset provided by NCEP/National Center for Atmospheric Research (NCAR) Reanalysis Project
DOI: 10.57702/22etzys4
title: MSMARCO

description: The dataset used for training and evaluating IR systems, containing a large collection of documents and queries.
DOI: 10.57702/r147h8mj
title: Spotify API

description: The dataset is used for building a music recommendation product with key focus on new song discovery and explainability.
DOI: 10.57702/ko04ddcm
title: SCAM Detective: Accurate Predictor of Small, Colloidally Aggregating Molecules
DOI: 10.57702/mqkbzbwj
title: The ChEMBL database in 2017

description: The ChEMBL database is a large collection of bioactive compounds and their biological activities.
DOI: 10.57702/i04yvkut
title: BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities

description: BindingDB is a database of experimentally determined protein-ligand binding affinities.
DOI: 10.57702/ced13h3a
title: Pima Indians Diabetes

description: The dataset used in this study for exploring white-box attacks and defenses on quantum neural networks under depolarization noise.
DOI: 10.5281/zenodo.14265654
title: Exploring Immersive Virtual Reality in Higher Education: Research Gap and future Direction - A Scoping review

description: The rapid advancement of technology in the post-COVID-19 era has positioned immersive learning as a transformative approach to enhance educational experiences. Despite its vast potential, recent research developments reveal persistent challenges and gaps that impede widespread adoption. This study conducts a scoping review using the PRISMA methodology to systematically analyze current literature, identify research gaps, seek the challenge, and propose future research directions. From an initial pool of 414 papers, 75 were selected, comprising 60 research studies and 15 review papers. Notably, 55 studies focus on immersive virtual reality (IVR) purely for educational enhancement in traditional academic settings, while 20 explore the implementation of IVR in education with gaming activities. The analysis indicates a predominance of mixed-methods research within education, computer engineering, and computer science. Most studies are limited by short durations (typically 30 minutes) and small participant groups (under 50), raising concerns about the generalizability of findings. Key themes identified include learning context (21 papers), learning design strategies (10 papers), and immersion elements such as avatars and haptic feedback (6 papers). While positive impacts like increased satisfaction, motivation, engagement, knowledge enhancement, and usability are reported, negative effects such as motion sickness (13 papers) and dizziness (11 papers) persist. Crucially, only 11 studies exhibit high statistical power, underscoring the need for more robust research designs. Challenges identified encompass participant limitations, homogeneity, user discomfort, hardware unfamiliarity, and cognitive load—all intricately linked to design strategies. The implications of this review highlight the necessity for future research to focus on long-term studies, optimize user experience, develop cost-effective content creation methods, and integrate gamification into learning design. Addressing these areas is essential for overcoming current barriers and fully realizing the potential of immersive learning in education.
DOI: 10.5281/zenodo.14265655
title: Exploring Immersive Virtual Reality in Higher Education: Research Gap and future Direction - A Scoping review

description: The rapid advancement of technology in the post-COVID-19 era has positioned immersive learning as a transformative approach to enhance educational experiences. Despite its vast potential, recent research developments reveal persistent challenges and gaps that impede widespread adoption. This study conducts a scoping review using the PRISMA methodology to systematically analyze current literature, identify research gaps, seek the challenge, and propose future research directions. From an initial pool of 414 papers, 75 were selected, comprising 60 research studies and 15 review papers. Notably, 55 studies focus on immersive virtual reality (IVR) purely for educational enhancement in traditional academic settings, while 20 explore the implementation of IVR in education with gaming activities. The analysis indicates a predominance of mixed-methods research within education, computer engineering, and computer science. Most studies are limited by short durations (typically 30 minutes) and small participant groups (under 50), raising concerns about the generalizability of findings. Key themes identified include learning context (21 papers), learning design strategies (10 papers), and immersion elements such as avatars and haptic feedback (6 papers). While positive impacts like increased satisfaction, motivation, engagement, knowledge enhancement, and usability are reported, negative effects such as motion sickness (13 papers) and dizziness (11 papers) persist. Crucially, only 11 studies exhibit high statistical power, underscoring the need for more robust research designs. Challenges identified encompass participant limitations, homogeneity, user discomfort, hardware unfamiliarity, and cognitive load—all intricately linked to design strategies. The implications of this review highlight the necessity for future research to focus on long-term studies, optimize user experience, develop cost-effective content creation methods, and integrate gamification into learning design. Addressing these areas is essential for overcoming current barriers and fully realizing the potential of immersive learning in education.
DOI: 10.57702/b18yk2kq
title: Consistance de la minimisation du risque empirique pour l’optimisation de l’erreur relative moyenne

description: The dataset used in the paper is not explicitly described, but it is mentioned that it is a class of regression models GN.
DOI: 10.57702/gwxjqhvj
title: High-dimensional Metric Combining for Non-coherent Molecular Signal Detection

description: The dataset used in the paper for high-dimensional metric combining for non-coherent molecular signal detection.
DOI: 10.57702/lih52fgw
title: MovieLens 1M

description: The associated task is to predict the movie rating on a 5-star scale. This dataset contains 6,040 users, 3,900 movies, and 1,000,209 ratings, i.e., rating matrix is 4.26% full.
DOI: 10.57702/gy9i5041
title: WordNet Noun

description: The dataset used in this paper is the WordNet Noun dataset, which is a collection of nouns with their semantic relationships.
DOI: 10.57702/9yisc3kx
title: Hearst

description: The dataset used in this paper is the Hearst dataset, which is a collection of text documents.
DOI: 10.57702/drs1k5gq
title: Stock Prices of Frontier Markets

description: The dataset used in this paper is a collection of stock prices of eleven companies of different stock exchanges of frontier markets.
DOI: 10.57702/iw2r8xeh
title: Historical Stock Prices of Frontier Markets

description: The dataset used in this paper is a collection of historical stock prices of eleven companies of different stock exchanges of frontier markets.
DOI: 10.57702/a0l2zed6
title: WikiSQL

description: Semantic parsing maps a user-issued natural language (NL) utterance to a machine-executable meaning representation (MR), such as λ−calculus (Zettlemoyer and Collins, 2005), SQL queries (Dong and Lapata, 2018) or general purpose programming languages (e.g., Python) (Yin and Neubig, 2018).
DOI: 10.57702/e26sbum4
title: KDDCup99

description: KDDCup99 dataset
DOI: 10.57702/z6gx31hm
title: KDD_Internet_Usage

description: KDD_Internet_Usage dataset
DOI: 10.57702/r18ve18b
title: Internet-ﬁrewall

description: Internet-ﬁrewall dataset
DOI: 10.57702/tvu7z4qc
title: Intermediating Decentralised Asset (IDA)

description: The dataset is used to describe the characteristics of the Intermediating Decentralised Asset (IDA) and its dynamic asset and liability management policy.
DOI: 10.57702/wf3m6dkp
title: Cellular-Connected UAV Path Design

description: The dataset used in this paper for cellular-connected UAV path design with reinforcement learning.
DOI: 10.57702/x7kvv049
title: SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

description: The dataset used for SemEval-2022 Task 11 on identifying complex named entities in Bangla.
DOI: 10.15468/dl.zkdr74
title: Occurrence Download

description: A dataset containing 434702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Impatiens glandulifera Royle, Impatiens glanduligera Lindl., Impatiens roylei f. albida Hegi, Impatiens cornigera Hook., Impatiens royleana Payer, Impatiens moschata Edgew., Impatiens candida Lindl., Impatiens roylei Walp., Impatiens roylei var. pallidiflora Hook.fil., Impatiens macrochila Lindl., Impatiens glandulifera f. albida (Hegi) B.Boivin, Impatiens roylei var. moschata (Edgew.) Hook.fil., Impatiens roylei var. candida (Lindl.) Hook.fil., Impatiens sulcata var. glandulifera (Royle) R.Kr.Singh & D.Borah, Balsamina glandulifera (Arn.) Ser., Balsamina roylei (Walp.) Ser., Impatiens glandulifera f. pallidiflora (Hook.fil.) Weath., Balsamina macrochila (Lindl.) Ser., Impatiens roylei var. macrochila (Lindl.) Hook.fil.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 434702 records from 880 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014285-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/605fa8dw
title: MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition

description: The dataset used for SemEval-2022 Task 11 on identifying complex named entities in multilingual languages.
DOI: 10.57702/vc456909
title: Learning Latent Interactions for Event classiﬁcation via Graph Neural Networks and PMU Data

description: The proposed method learns latent interaction graph jointly with feature engineering and event identiﬁcation model, thus improving the accuracy of the graph learning and ensuring seamless integration between the learned interactions and event identiﬁcation.
DOI: 10.57702/78oqo4o0
title: BAYESIMP: Uncertainty Quantiﬁcation for Causal Data Fusion

description: The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study.
DOI: 10.57702/gv2iqj1z
title: Causal Bayesian Optimization

description: The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study.
DOI: 10.15468/dl.yjvsrz
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.5354 38.14763,-7.26745 37.56966,-6.81696 37.03214,-5.52179 35.94563,-4.62081 36.71682,-2.08679 36.80704,-1.18581 37.61428,-1.46736 38.10333,-3.1004 38.32455,-4.73343 38.5451,-6.5354 38.14763))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies pinsapo Boiss."
 ]
}

 The dataset includes 144 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014303-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7vbudtsg
title: Prostate Speciﬁc Antigen in the Diagnosis and Treatment of Adenocarcinoma of the Prostate

description: The dataset used in the paper is a prostate cancer study dataset.
DOI: 10.57702/wpognbm6
title: Use of statins and serum levels of prostate speciﬁc antigen

description: The dataset used in the paper is a statin dosage study dataset.
DOI: 10.57702/4wigjzmy
title: Correlation-induced Finite Diﬀerence Estimator

description: Finite diﬀerence approximation for gradient estimation when only noisy function realizations are available.
DOI: 10.57702/nifdefgl
title: ActivityNet v1.3

description: Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture “clips” or temporal intervals in videos that are likely to contain an action.
DOI: 10.57702/9swgkhvp
title: nuPlan

description: A self-driving car dataset that captures real-world urban driving in the center of Las Vegas.
DOI: 10.57702/61eiai11
title: TrafﬁcSim

description: A dataset for learning to simulate realistic multi-agent behaviors.
DOI: 10.57702/l51z6act
title: Geometric Brownian Motion Synthetic Data

description: The dataset used in this paper is a collection of synthetic market data generated via a geometric Brownian motion.
DOI: 10.57702/uuz6halg
title: Hedging American Put Options with Deep Reinforcement Learning

description: The dataset used in this study for training and testing DRL agents to hedge American put options.
DOI: 10.57702/fhlxmhhd
title: Discrete-time Blended Dynamics Theorem

description: The dataset used in the paper is a discrete-time blended dynamics theorem, which is a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms.
DOI: 10.57702/f9ahg3ie
title: Dialog+

description: Dialog+ is a technology being developed at Fraunhofer IIS. As shown in Figure 1, Dialog+ contains a deep neural network performing dialogue separation. This was trained using supervised regression learning and uses a deep fully-convolutional structure in the short-time Fourier transform domain.
DOI: 10.57702/aq972ajf
title: Dialog+ Field Test Dataset

description: The dataset used in the field tests consists of real-world broadcast content, mostly originating from WDR and BR.
DOI: 10.57702/k8kewaab
title: Phase Transitions in Bandits with Switching Constraints

description: The dataset is used to study the stochastic multi-armed bandit problem with a constraint that limits the total cost incurred by switching between actions to be no larger than a given switching budget.
DOI: 10.57702/4pkvo3gm
title: Secure Haplotype Imputation Employing Local Differential privacy

description: SHIELD is a program for accurately estimating the genotype of target samples at markers that are not directly assayed by array-based genotyping platforms while preserving the privacy of donors to public reference panels.
DOI: 10.57702/miwhfia3
title: 1,000 Genomes Project
DOI: 10.15468/dl.k4v8ya
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bellottia apoda Giglioli, 1883",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014305-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e89k2u
title: Occurrence Download

description: A dataset containing 9498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Bathycoccus prasinos Eikrem & Throndsen, Ostreococcus tauri Courties & Chret.-Dinet., Micromonas commoda Baren, Bachy & Worden, 2016, Ostreococcus lucimarinus, Bathycoccus W.Eikrem & J.Throndsen, 1990)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9498 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014304-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/lxh4unlc
title: Haplotype Reference Consortium
DOI: 10.15468/dl.w92a52
title: Occurrence Download

description: A dataset containing 1166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blennius ocellaris Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1166 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014306-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4khsa6
title: Occurrence Download

description: A dataset containing 2614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus torreyana Parry ex Carrière"
 ]
}

 The dataset includes 2614 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014308-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9iksnz4w
title: Dual Policy Distillation

description: The dataset used in the paper is a continuous control task dataset.
DOI: 10.57702/3eh8ecro
title: RRD-Home

description: Person Re-Identiﬁcation (ReID) aims to recognize a person-of-interest across different places and times. RF-ReID uses radio frequency (RF) signals for longterm person ReID.
DOI: 10.57702/13tvhczg
title: Beijing PM2.5 dataset

description: Beijing PM2.5 dataset for air pollution forecasting
DOI: 10.57702/3en5d59u
title: LSDSCC

description: The dataset is a large-scale conversational corpus for response generation with diversity oriented evaluation metrics.
DOI: 10.15468/dl.gm692b
title: Occurrence Download

description: A dataset containing 7358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boops boops (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7358 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014307-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1f78i3h6
title: Minimum wage and manufacturing labor share: Evidence from North Macedonia

description: The dataset used in the paper is a panel of 20 manufacturing branches over the 2012-2019 period.
DOI: 10.57702/55z9rj9p
title: iPosts dataset

description: The independently posted tweets dataset (henceforth: iPosts) that we used for contradiction detection between independently emerging claim-initiating tweets.
DOI: 10.57702/6dshth1j
title: Watchtower corpus (WTC)

description: The dataset used in this paper is a multilingual parallel corpus, specifically the Watchtower corpus (WTC), which is a collection of multilingual sentences.
DOI: 10.57702/9xrrps0x
title: Inria Aerial Image Labeling dataset

description: Inria Aerial Image Labeling dataset contains aerial orthorectified color imagery of 5000 × 5000 pixels with a spatial resolution of 0.3 m.
DOI: 10.57702/mrziaaju
title: NIST 2003 (MT03), NIST 2004 (MT04), NIST 2005 (MT05), NIST 2006 (MT06) datasets

description: Chinese↔English translation tasks, KFTT English↔Japanese translation datasets.
DOI: 10.57702/bv1ezwp6
title: Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support

description: The dataset used in this study for early lung cancer screening support combining low-dose CT-based radiomics and metabolomics.
DOI: 10.57702/ron28kil
title: Lifelong Hyper-Policy Optimization with Multiple Importance Sampling

description: The authors propose a lifelong RL approach that learns a hyper-policy, whose input is time, that outputs the parameters of the policy to be queried at that time.
DOI: 10.15468/dl.pggsxn
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Uruguay",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014309-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4tos1qjw
title: Foreign Exchange Trading: A Risk-Averse Batch Reinforcement Learning Approach

description: The authors propose a risk-averse batch reinforcement learning approach for foreign exchange trading.
DOI: 10.57702/17lopntz
title: ACDC Dataset

description: The ACDC dataset is a large-scale dataset containing images of urban scenes under different weather conditions.