cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/c4c45b5b10b4cb4cd4b5e613c3effbd0
title: Time series of high-frequency profiles of depth, temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, turbidity, pH, oxidation-reduction potential, photosynthetic active radiation, and descent rate for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in Southwestern Virginia, USA 2013-2021

description: Depth profiles of temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, and turbidity were collected with a CTD (Conductivity, Temperature, and Depth) profiler fitted with a SBE 43 Dissolved Oxygen sensor and an ECO Triplet Fluorometer and Backscattering Sensor from 2013 to 2021. From 2017-2021, pH and oxidation-reduction potential (ORP) were also collected with a SBE 27 pH and O.R.P. (redox) sensor. CTD profiles were collected in five drinking water reservoirs in southwestern Virginia, USA. All variables were measured every 0.25 seconds, resulting in depth profiles at approximately ten centimeter resolution. The five study reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of CTD depth profiles measured at the deepest site of each reservoir adjacent to the dam as well as other reservoir sites on a transect upstream in Carvins Cove Reservoir and Falling Creek Reservoir. The profiles were collected approximately fortnightly in the spring months, weekly in the summer and early autumn, and monthly in the late autumn and winter. Beaverdam Reservoir, Carvins Cove Reservoir, and Falling Creek Reservoir were sampled every year in the dataset (2013-2021); Spring Hollow Reservoir was not in sampled in 2018, 2020, or 2021; and Gatewood Reservoir was only sampled in 2016.
DOI: 10.57702/clvjwqc2
title: ConceptNet 5.5

description: The ConceptNet 5.5 dataset is an open multilingual graph of general knowledge.
DOI: 10.57702/akl0vxcr
title: CenterNet Pose

description: Human pose estimation using center points
DOI: 10.57702/poxc3xkb
title: QAPLIB

description: The dataset instances for the backboard wiring problem are taken from QAPLIB.
DOI: 10.57702/5lc69kao
title: Multi-goal Reach Task Dataset

description: The dataset used in the paper is a multi-goal reach task dataset, where the robot arm needs to reach a target pose with varying precision requirements.
DOI: 10.57702/fncruxot
title: Soft Constraints for Inference with Declarative Knowledge

description: The dataset used in the paper is a simulation model for probabilistic inference with declarative knowledge.
DOI: 10.57702/j12qrisw
title: Cord-19: The COVID-19 Open Research Dataset

description: The Cord-19 corpus is a large collection of COVID-19 related research papers, including peer-reviewed and pre-peer-reviewed articles.
DOI: 10.57702/peygdsvj
title: LDA2Net: Digging under the surface of COVID-19 topics in literature

description: The LDA2Net dataset is a collection of COVID-19 related research papers, including peer-reviewed and pre-peer-reviewed articles.
DOI: 10.57702/dy5q8rgn
title: WMT'15

description: Character-level neural machine translation (NMT) dataset for English to German, English to Czech and English to Finnish language pairs
DOI: 10.57702/xxspuqb5
title: Esophageal Contraction Vigor Dataset

description: The dataset used for the experiments includes 3000 training sets, 500 validation sets and 411 test sets.
DOI: 10.57702/3rbmz9pk
title: Stability and Robustness of Distributed Suboptimal Model Predictive Control

description: The dataset used in this paper is a collection of linear time invariant (LTI) systems subject to coupling input and output inequality constraints.
DOI: 10.57702/h53lvb8y
title: Text Detection on Technical Drawings

description: The dataset used for training a text recognition approach on technical drawings.
DOI: 10.57702/8y3u74d5
title: AttDLNet: Attention-based Deep Network for 3D LiDAR Place Recognition

description: LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications.
DOI: 10.57702/xa76qy8k
title: Haberman’s Survival Dataset

description: The dataset contains samples collected from a study which was conducted between the years 1958 and 1970 at the University of Chicago’s Billing Hospital on the patients who had survived after undergoing surgery for breast cancer.
DOI: 10.57702/mctyzyxa
title: DogWhistle

description: A Chinese dataset for cant creation, understanding and decryption.
DOI: 10.57702/uvz322gp
title: Image Processing Operators

description: The dataset includes image processing operators such as Sobel and Hough.
DOI: 10.57702/eyo87det
title: Image Processing Operator Language (IPOL)

description: The dataset includes image processing operators and their properties.
DOI: 10.57702/p599myqt
title: NED Distortion Dataset

description: The dataset used for training and testing the Neural Distortion Field (NDF) model for spatial calibration of wide Field-of-View Near-Eye Displays (NEDs).
DOI: 10.57702/ff1c6vzc
title: KGS 7.5-Komi Games

description: A dataset of KGS 7.5-komi games, used to train the value network.
DOI: 10.57702/1oj6o6ed
title: KGS 6.5-Komi Games

description: A dataset of KGS 6.5-komi games, used to train the value network.
DOI: 10.57702/vpyj4oly
title: KGS 0.5-Komi Games

description: A dataset of KGS 0.5-komi games, used to train the value network.
DOI: 10.57702/ge95oc1l
title: Meena

description: A multi-turn open-domain conversational AI seq2seq model that was trained end-to-end.
DOI: 10.57702/ovejuurh
title: RetGen

description: A hybrid retrieval-augmented/grounded version of the seq2seq architecture.
DOI: 10.57702/e9u6h76z
title: mT5

description: A multilingual version of the seq2seq architecture trained on Colossal Clean Crawled Corpus.
DOI: 10.57702/alf8z0i2
title: HDNET: HIERARCHICAL DYNAMIC NETWORK FOR GAIT RECOGNITION USING MILLIMETER-WAVE RADAR

description: Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach is to recognize human gait from RGB images, owing to the progress of computer vision technologies. Nevertheless, the perception capability of RGB cameras deteriorates in rough circumstances, and visual surveillance may cause privacy invasion.
DOI: 10.57702/rp77yrky
title: mID: Tracking and identifying people with millimeter wave radar

description: mID: Tracking and identifying people with millimeter wave radar
DOI: 10.57702/kmdwx41r
title: Gait recognition for co-existing multiple people using millimeter wave sensing

description: Gait recognition for co-existing multiple people using millimeter wave sensing
DOI: 10.57702/wah7b387
title: Person reidentiﬁcation based on automotive radar point clouds

description: Person reidentiﬁcation based on automotive radar point clouds
DOI: 10.57702/nw9ua8qy
title: Gaitcube: Deep data cube learning for human recognition with millimeter-wave radio

description: Gaitcube: Deep data cube learning for human recognition with millimeter-wave radio
DOI: 10.57702/2fybantk
title: Learning to Decipher Hate Symbols

description: A symbol-rich Twitter corpus of hate speech, leveraging the Urban Dictionary
DOI: 10.57702/6g3gixcs
title: Orthogonal Machine Learning: Power and Limitations

description: The dataset used in the paper is a synthetic demand estimation problem with dense dependence on observables.
DOI: 10.57702/hao18v83
title: Gap-weighted subsequences for automatic cognate identiﬁcation and phylogenetic inference

description: The Indo-European dataset for cognate identification and phylogenetic inference
DOI: 10.57702/9s7ezaws
title: NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image

description: NormalGAN: a fast adversarial learning-based method to reconstruct the complete and detailed 3D human from a single RGB-D image.
DOI: 10.57702/zgp1231i
title: GRAPHAF: A FLOW-BASED AUTOREGRESSIVE MODEL FOR MOLECULAR GRAPH GENERATION

description: Molecular graph generation is a fundamental problem for drug discovery and has been attracting growing attention. The problem is challenging since it requires not only generating chemically valid molecular structures but also optimizing their chemical properties in the meantime.
DOI: 10.57702/wel30iah
title: Robotic Investment Portfolios

description: The dataset used in this paper is a collection of 18 months of daily robotic investment portfolios.
DOI: 10.57702/mlagms5b
title: PyCaMa: Python for cash management

description: A cash management system with multiple bank accounts, where the goal is to minimize the sum of transaction and holding costs, and to minimize the risk of policies.
DOI: 10.57702/ac22xq1t
title: Cash Flow Forecasts

description: A dataset of cash flow forecasts for a cash management system with multiple bank accounts.
DOI: 10.57702/02exq3sz
title: Ontology-based question answering over corporate structured data

description: Ontology-based question answering over corporate structured data
DOI: 10.57702/b5ouvc8k
title: Data-Efﬁcient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs

description: The dataset used in this paper for attitude control of fixed-wing UAVs using deep reinforcement learning.
DOI: 10.57702/sps9iy7j
title: World GDP, energy consumption, and population data

description: World GDP, energy consumption, and population data
DOI: 10.57702/pgjmysn7
title: VehicleID

description: Vehicle re-identification dataset with multiple views and variations in lighting and weather conditions.
DOI: 10.57702/70bv8j59
title: BARS: A Benchmark for Airport Runway Segmentation

description: A publicly available benchmark for airport runway segmentation, named BARS. BARS has the largest dataset with the richest categories and the only instance annotated dataset in the field.
DOI: 10.57702/cv4smnhx
title: MuST-C v1.0

description: MuST-C v1.0 is a multilingual corpus for end-to-end speech translation, containing 8 language pairs.
DOI: 10.57702/db3wfa3n
title: Predicting Antimicrobial Drug Consumption using Web Search Data

description: This dataset is used for predicting antimicrobial drug consumption using web search data. It includes 6 years of weekly antimicrobial drug consumption data from Denmark and web search data from Google Health Trends.
DOI: 10.57702/47v5yjn9
title: Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries

description: This dataset is used for estimating vaccination uptake using web search queries. It includes 5 years of weekly vaccination uptake data from Denmark and web search data from Google Trends.
DOI: 10.57702/udnw2eq8
title: Open Source Projects Dataset

description: The dataset used in the paper is a collection of 150 open source projects.
DOI: 10.57702/gtkszcdm
title: Kiwi — A Minimalist CP Solver

description: Kiwi is a minimalist and extendable Constrain Programming (CP) solver specifically designed for education.
DOI: 10.57702/79s8ph4x
title: Learnt Sparsiﬁcation for Interpretable Graph Neural Networks

description: Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as inductive biases resulting in flexible and powerful models. However, GNNs remain hard to interpret as the interplay between node features and graph structure is only implicitly learned.
DOI: 10.57702/yu93ju0c
title: eICU Research Institute (eRI) database

description: The eICU Research Institute (eRI) database contains clinical and microbiological data for patients who had a complete hospitalization between January 1, 2007 and March 31, 2013.
DOI: 10.57702/opzzpehq
title: On the Performance of the Neyman Allocation with Small Pilots

description: The dataset used in the paper is the first 10 completed experiments in the AER RCT Registry.
DOI: 10.57702/9bzpd4z2
title: Lung Cancer Set (LUCAS)

description: The dataset contains data related to the study of lung cancer. It is a large-scale synthetic SCM designed to simulate data related to the study of lung cancer.
DOI: 10.57702/qktxxjj1
title: Electric Battery Manufacturing (EBM)

description: The dataset contains observations about different variables affecting the coating process (Comma Gap, Mass Loading Position), as well as observation about a key outcome variable related to the width of the coating (Mass Loading). Both groups aim at inferring a machine learning model that would allow them to control the target variable via interventions on the other variables.
DOI: 10.57702/1mdepyfo
title: TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding

description: ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improve the effectiveness and efficiency of manual coding, many methods have been proposed to automatically predict ICD codes from clinical notes.
DOI: 10.57702/ti3v8v42
title: Amazon Corpus

description: The Amazon corpus contains user product reviews and has a much higher vocabulary relative to the number of documents, due to its noisy text.
DOI: 10.57702/k0od7jax
title: Signal-based Bayesian Seismic Monitoring

description: Detecting weak seismic events from noisy sensors is a challenging perceptual task. We formulate this task as Bayesian inference and propose a generative model of seismic events and signals across a network of spatially distributed stations.
DOI: 10.57702/5lz9pdru
title: Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial

description: The dataset used in the paper is a collection of patient data for a machine learning algorithm for health and wellness applications.
DOI: 10.57702/9imx35y3
title: Oxford's hourly electricity demand profile

description: Oxford's hourly electricity demand profile in a year, Oxford's hourly solar generation capacity factor profile in a year, Elexon electricity settlement profiles, Great Britain's hourly wholesale electricity price in a year, NASA's MERRA database, Renewables.ninja service, Open Power System Data platform
DOI: 10.57702/4ifdm9ke
title: Great Britain's hourly wholesale electricity price

description: Great Britain's hourly wholesale electricity price in a year, Open Power System Data platform
DOI: 10.57702/zf6y0s55
title: NASA's MERRA database

description: NASA's MERRA database, Renewables.ninja service
DOI: 10.57702/d9597rsj
title: Renewables.ninja service

description: Renewables.ninja service
DOI: 10.57702/5ow3cmyr
title: Open Power System Data platform

description: Open Power System Data platform
DOI: 10.57702/1exv7ldk
title: HumanEval

description: The dataset used in the paper is the HumanEval dataset, which is used to evaluate the performance of language models.
DOI: 10.57702/gth0ck9s
title: MBPP

description: The dataset used in the paper for code generation
DOI: 10.57702/aax8dtkf
title: Rotowire

description: The dataset used in the paper for Rotowire
DOI: 10.57702/yoy5oef8
title: NL_trajectory_reshaper

description: A dataset containing robot trajectories modified by language commands, used for training a multi-modal attention transformer model.
DOI: 10.57702/ct21d5t3
title: COMPAS, Adult, Law School, Dutch Census

description: The COMPAS dataset’s prediction task is to calculate the recidivism outcome, indicating whether individuals will be rearrested within two years after the first arrest, with race as the sensitive attribute. The Adult dataset’s prediction task is to determine whether a person’s income exceeds $50K/yr or not, with gender as the sensitive attribute. The Law School dataset’s prediction task is to predict whether a candidate would pass the bar exam, with race as the sensitive attribute. Finally, the Dutch Census dataset’s prediction task is to determine a person’s occupation which can be categorized as high level (prestigious) or low level profession, with gender as the sensitive attribute.
DOI: 10.57702/fuorugrv
title: ShortcutQA

description: The authors created a dataset called ShortcutQA, which is a curated dataset generated by their framework for future research.
DOI: 10.57702/0gf5q4td
title: Improving Cyberbullying Detection with User Interaction

description: Cyberbullying detection with user interaction
DOI: 10.57702/g6xdi65j
title: Careful what you share in six seconds: Detecting cyberbullying instances in Vine

description: Careful what you share in six seconds: Detecting cyberbullying instances in Vine
DOI: 10.57702/r32gxpzo
title: Congressional Voting Records (votes)

description: The dataset used in this paper is the Congressional Voting Records (votes) from the UCI machine learning repository.
DOI: 10.57702/4hqis72i
title: Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation

description: A new GAN-based interactive image generation system for drawing objects from scratch that: 1) generates full images given partial user strokes (or sketches); 2) serves as a recommender system that suggests or helps the user during their creative process to help them generate a desired image; and 3) uses a single conditional GAN model for multiple image classes, via a gating-based conditioning mechanism.
DOI: 10.57702/h1i5hwih
title: Upper Extremity Movement Imaginations Dataset

description: The dataset used in this paper for decoding intuitive upper extremity movement imagination (MI) using a gradual relation network (GRN) that can gradually consider the combination of temporal and spectral groups.
DOI: 10.57702/rtxl08qi
title: Movie Review (MR) and Product Review (PR) datasets

description: Movie Review (MR) dataset is a binary sentiment classification dataset with movie reviews from IMDB, consisting of 1000 positive and 1000 negative movie reviews. Product Review (PR) dataset is a multi-aspect beer review dataset with data derived from BeerAdvocate, containing reviews for three aspects of beer: appearance, aroma, and palate.
DOI: 10.57702/4w76tfzz
title: LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

description: LogicVista is a comprehensive evaluation benchmark for multimodal large language models (MLLMs) in visual contexts. It assesses the integrated logical reasoning capabilities of MLLMs in Visual contexts.
DOI: 10.57702/x2a2qc9j
title: Pixel-wise Gaussian AD visualization (ResNet18, MVTecAD)

description: Anomaly detection in images using multivariate Gaussian and whitening transformation
DOI: 10.57702/9a3rabk1
title: Griffon v2 Fine-tuning Dataset

description: The dataset used for fine-tuning Griffon v2.
DOI: 10.57702/5i8slgu4
title: DAbR dataset

description: The dataset used in the paper is a reputation score generated by an AI model using IP-based features.
DOI: 10.57702/3pjszo4d
title: Nakdong River Catchment Dataset

description: The dataset is a collection of measurements for 13 years (1996–2008) at nine stations located in the Nakdong River catchment.
DOI: 10.57702/l8rh021w
title: Ride-Sharing Dataset

description: The dataset used in the paper is a large-scale dataset of ride-sharing requests and prices, with over 8.5 million orders.
DOI: 10.57702/x96m7qf6
title: BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models

description: The dataset used in the paper to evaluate the effectiveness of the BEEAR method in mitigating safety backdoors in instruction-tuned LLMs.
DOI: 10.57702/c1o75zmx
title: IMDB-BINARY and IMDB-MULTI datasets

description: IMDB-BINARY and IMDB-MULTI datasets for graph clustering
DOI: 10.57702/mhbxh3tb
title: RecipeDB

description: A dataset of 1,150,000 ingredient phrases from RecipeDB, with 349,762 unique phrases.
DOI: 10.57702/ibkke2yy
title: Random Gaussian White Noise

description: The dataset used in the paper is a set of random Gaussian white noise.
DOI: 10.57702/94jkaw7g
title: Processing of incomplete images by (graph) convolutional neural networks

description: We investigate the problem of training neural networks from incomplete images without replacing missing values.
DOI: 10.57702/1pyjraxf
title: Alquist: The Alexa Prize Socialbot

description: The Alquist dialogue system is designed to conduct a coherent and engaging conversation on popular topics.
DOI: 10.57702/o0ukn70v
title: Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks

description: The proposed scale-steerable CNN framework is validated on the MNIST-Scale and FMNIST-Scale datasets, which contain global scale variations. Additionally, a synthesized dataset, MNIST-Scale-Local-2, is created to test the performance of the proposed method on local scale variations.
DOI: 10.57702/98dmp23r
title: MNIST-Scale and FMNIST-Scale datasets

description: The MNIST-Scale and FMNIST-Scale datasets are used to evaluate the performance of the proposed scale-steerable CNN framework.
DOI: 10.57702/uc053zcp
title: N2C2

description: The dataset used in this study is the N2C2 dataset, which contains manually labeled data from two different institutions for the extraction of social determinants of health information from clinical notes.
DOI: 10.57702/e25o2cnb
title: SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

description: SoLar: a novel Optimal Transport-based framework for partial-label learning, allowing to refine the disambiguated labels towards matching the marginal class prior distribution.
DOI: 10.57702/7hor5p7a
title: CIFAR10-LT

description: CIFAR10-LT: a long-tailed version of the CIFAR-10 dataset, where the training images are randomly removed class-wise to follow a pre-deﬁned imbalance ratio.
DOI: 10.57702/1ta34wbe
title: Traﬃc Participants Dataset

description: The dataset is a real-world dataset for motion prediction in autonomous driving, containing 18-dimensional feature vectors describing the current traffic situation.
DOI: 10.57702/0i4nscad
title: Parameter estimation of ODE models using MSS objective function

description: The dataset used for parameter estimation of ODE models, using a multiple shooting for stochastic systems (MSS) objective function.
DOI: 10.57702/25inw8ei
title: FitzHugh-Nagumo oscillator model

description: The dataset used for parameter estimation of ODE models, using a FitzHugh-Nagumo oscillator model.
DOI: 10.57702/ext01hzm
title: Newton Scheme for Deep Learning

description: The dataset used in the paper is a physics-based neural network for predicting object trajectories. It includes data for free-falling objects, damping pendulum, and curve soccer balls.
DOI: 10.57702/tdkhqcle
title: MNIST and MIMIC-CXR-JPG datasets

description: The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images.
DOI: 10.57702/32ju98y6
title: Parameterized Grating Coupler Design

description: The parameterized grating coupler design used as a demonstration of the fab-in-the-loop RL.
DOI: 10.57702/4ra3qa9h
title: NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

description: NOIR is a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.
DOI: 10.57702/thonmk9e
title: Behavior-1k

description: The Behavior-1k dataset contains 1,000 everyday activities and realistic simulation.
DOI: 10.57702/k95xapud
title: Sub-Gaussian plot

description: The dataset used in the paper is a sub-Gaussian plot for standard Gaussian and standard exponential random variables with n = 1000.
DOI: 10.57702/02sm7nik
title: CIFAR-100 vs. CIFAR-10

description: The dataset used in the paper for out-of-distribution detection via conditional distribution entropy with optimal transport.