cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/d641020eacb963f4e9a3db40c0de4ec0
title: Baltimore Ecosystem Study: Precipitation measurements at eight stations

description: Abstract: Rain depth is collected using model 6011-A tipping bucket
 rain gauges manufactured by All Weather Inc. (formerly Qualimetrics).
 Two raingauges (RG1 and RG2) are installed at each of eight stations.
 Each rain gauge tip represents a depth of 0.01 inches of rainfall.
 Data are recorded by a data logger at the station and telemetered
 hourly to UMBC, where the data are stored in a data base. The rain
 gauges are not heated and therefore snow and ice storms are removed
 from the published record. The QA/QC procedure applied to the raw data
 includes removal of false tips and snow/ice events, accumulating tip
 data to a time series in inches/min, applying a laboratory-based
 calibration curve to the data, and converting corrected data to a
 one-minute time series in units of mm/min for publication.
DOI: 10.57702/tpzrtdmh
title: photoacoustic-SAM

description: The dataset used in the paper for photoacoustic image segmentation and reconstruction.
DOI: 10.57702/r3izhnvy
title: BIOPAK FLASHER: EPIDEMIC DISEASE MONITORING AND DETECTION IN PAKISTAN USING TEXT MINING

description: The dataset used in the paper is a collection of Urdu news articles related to epidemic diseases in Pakistan. The dataset is used to train a text mining model to extract information about disease outbreaks from online news sources.
DOI: 10.57702/nxnimz4a
title: MIST: l0 Sparse Linear Regression with Momentum

description: The dataset used in the paper is a large linear system of equations with a sparse solution. The authors used this dataset to test their Momentumized Iterative Shrinkage Thresholding (MIST) algorithm.
DOI: 10.57702/z377a0jt
title: SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes

description: The dataset used in the paper is a multiagent reinforcement learning method towards socially optimal outcomes.
DOI: 10.57702/o97mkrok
title: JANUS Replication Package

description: A replication package for the JANUS dataset, providing access to the dataset and its evaluation results.
DOI: 10.57702/k2q0un6j
title: scikit-multilearn: A scikit-based Python environment for performing multi-label classification

description: scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all internal operations.
DOI: 10.57702/tmdwazw3
title: MEKA: A multi-label/multi-target extension to Weka

description: MEKA is a multi-label/multi-target extension to Weka.
DOI: 10.57702/id75oziv
title: MV-YCB WiggleCam

description: The dataset used in the paper for training and testing the SyMFM6D model. It contains photorealistic RGB-D images of 8-16 objects in cluttered scenes.
DOI: 10.57702/z4ensjqf
title: UT-Zap50K dataset

description: The UT-Zap50K dataset is a dataset of images of shoes.
DOI: 10.57702/5r4c3smn
title: ZINC15, PubChem, ChEMBL, and Structure Pretraining datasets

description: ZINC15, PubChem, ChEMBL, and Structure Pretraining datasets are used for molecular property prediction.
DOI: 10.57702/wc46a8us
title: ZINC250k, DrugBank, and KEGG-drug datasets

description: ZINC250k, DrugBank, and KEGG-drug datasets are used for molecular generation.
DOI: 10.15468/dl.88zdrn
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster diplostephioides (DC.) Benth. ex C.B.Clarke"
 ]
}

 The dataset includes 145 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055427-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/f17ipaia
title: MGSM

description: The MGSM dataset is a multilingual math reasoning dataset containing around 7,500 training samples and 1,319 testing samples.
DOI: 10.57702/b4uc6w2i
title: Historical Scenarios of Net Load and Price

description: The dataset used in the paper is a collection of historical scenarios of net load and price, which are used for empirical learning and offline optimization.
DOI: 10.15468/dl.wfanbz
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster poliothamnus Diels"
 ]
}

 The dataset includes 136 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055428-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/krj59o69
title: Demographic and Health Surveys (DHS)

description: Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approaches.
DOI: 10.57702/qp7f17bt
title: Knowledge Integration (KI) Data

description: Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approaches.
DOI: 10.57702/nbi1peea
title: Performance Monitoring and Accountability 2020 (PMA2020) Project

description: Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approaches.
DOI: 10.57702/12s4k7ib
title: Data Store Explorer: Knowledge Integration (KI) - Africa

description: Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approaches.
DOI: 10.57702/7nbniy84
title: UCI+ repository

description: Characterizes the complexity of classification problems using various measures.
DOI: 10.57702/jmp588jo
title: Ballast Degradation Evaluation

description: The dataset used in the paper is a collection of ballast images with corresponding Fouling Index (FI) values.
DOI: 10.15468/dl.tqydpe
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster farreri W.W.Sm. & Jeffrey"
 ]
}

 The dataset includes 224 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055429-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/eac47z4w
title: Climate Hazards group Infrared Precipitation with Stations (CHIRPS)

description: Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset, a global interpolated dataset of daily precipitation providing a spatial resolution of 0.05 degrees.
DOI: 10.57702/dawrt8a5
title: Tweet2Vec: Character-Based Distributed Representations for Social Media

description: Text from social media provides a set of challenges that can cause traditional NLP approaches to fail. Informal language, spelling errors, abbreviations, and special characters are all commonplace in these posts, leading to a prohibitively large vocabulary size for word-level approaches.
DOI: 10.57702/avt0wm9d
title: Finding function in form: Compositional character models for open vocabulary word representation

description: A character-level encoder for social media posts trained using supervision from associated hashtags.
DOI: 10.57702/9c7qsw5w
title: Automated quality assessment of hand washing using deep learning

description: An automated quality assessment of hand washing using deep learning.
DOI: 10.57702/vjgwd5mx
title: Negative preference optimization: From catastrophic collapse to effective unlearning

description: A dataset for testing the effectiveness of unlearning methods in large language models.
DOI: 10.57702/f2uo2g8x
title: Twins

description: The dataset used in the paper for causal query in observational data with hidden variables.
DOI: 10.57702/ep08crzr
title: UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus

description: The UMLS Metathesaurus contains approximately ten million English atom strings, each of which being linked to a concept. The dataset is used for synonymy prediction task.
DOI: 10.57702/bhp4mdaw
title: UMLS Vocabulary Alignment (UVA) task

description: The UMLS Vocabulary Alignment (UVA) task is a vocabulary alignment problem identified as UVA or synonymy prediction task by (Nguyen et al., 2021).
DOI: 10.57702/w6e0of9x
title: GEN_ALL dataset

description: The GEN_ALL dataset is used for training and testing the UBERT variants.
DOI: 10.57702/lfwcc22q
title: PubMed abstracts and PubMed Central (PMC) full-text articles dataset

description: The PubMed abstracts and PubMed Central (PMC) full-text articles dataset is used for pretraining the UBERT variants.
DOI: 10.57702/48q0ggup
title: Annotated synonymy dataset

description: The annotated synonymy dataset is used for pretraining the UBERT variants.
DOI: 10.57702/ab1uii2k
title: Schematic model of the double mutant of human γD-crystallin

description: The dataset used in this paper is a schematic model of the double mutant of human γD-crystallin, which has been shown to form two competing crystals: a normal solubility structure (DBN) and an inverted solubility structure (DBI).
DOI: 10.57702/cs3g37ea
title: DriveDB

description: Multimodal physiological signals like HR and breathing rate could be indicative of prominent changes in physiological arousal during driving.
DOI: 10.57702/fjux8gpc
title: AffectiveROAD

description: AffectiveROAD system and database to assess driver’s attention.
DOI: 10.57702/08oskxl6
title: Think_Net_Prompt

description: The dataset used in the paper is a task planning dataset, which consists of task descriptions and corresponding executable task sequences.
DOI: 10.57702/a72jgjce
title: Dataset Collection System

description: The proposed dataset collection system using a small hand–eye robot and a rotating stage.
DOI: 10.57702/h9b8metg
title: SE-TIMES

description: Translation datasets used for character-level translation experiments
DOI: 10.57702/pnf4qj6k
title: Obstructed Tunnels with Reconﬁgurable Intelligent Surface

description: The dataset used in this paper for obstructed tunnels with reconﬁgurable intelligent surface.
DOI: 10.57702/9p1wjuxh
title: Biochemical reaction networks

description: Biochemical reaction networks
DOI: 10.57702/mkgn3bcv
title: BCIC-IV-2a

description: EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few seconds. For each recording additional information, often called meta data, is available, e.g., the ID of a human subject, the sequence number of a session or the sequence number of a task within a session.
DOI: 10.6084/m9.figshare.25567818
title: Risk Assessments of Polycyclic Aromatic Hydrocarbons in the Surface Sediments of Drinking Water Sources in Ifite Ogwari, South-East Nigeria

description: Surface water is the main source of drinking water in Ifite Ogwari, Anambra State, South-East Nigeria. In aquatic environments, sediment functions as both a source and a sink of polycyclic aromatic hydrocarbons (PAHs). To determine the level of pollution, health concerns to people and the environment, and potential sources of PAHs in the surface water sediments in Ifite Ogwari, sediment samples were collected from 9 surface water sources used for drinking by Ifite Ogwari people and were analyzed using a Gas Chromatography/Flame Ionization Detector (GC-FID). In all sediment samples, only 11 PAHs out of 16 United States Environmental Protection Agency (USEPA) priority PAHs were detected while 5 were below detectable limits. The concentration of benzo[a]anthracene was high but detected in only 2 sediment samples while fluoranthene has a relatively close concentration across all samples. Benzo[k]fluoranthene has the highest concentration compared to other PAHs in the samples while benzo[a]pyrene has the lowest concentration across all samples. Atammele sediment was analyzed as the most carcinogenic followed by Isiachala with concentrations of 84.23 ng/µL and 51.92 ng/µL respectively. Ube stream sediment has the lowest concentration of PAHs (11.74 ng/µL). Ecological risk of the PAHs revealed a sediment-to-sediment variation in the risk profile. Human health risk assessment depicts that hazard index and total cancer risk for adults and children ranged from 2.3E-07 - 2.57E-05 and 4.85E-07 - 5.43E-05 respectively. Pyrogenic activities are the main source of PAHs in the sediments. The results provide a guide for monitoring PAHs pollution and protecting drinking water sources.
DOI: 10.6084/m9.figshare.25567818.v1
title: Risk Assessments of Polycyclic Aromatic Hydrocarbons in the Surface Sediments of Drinking Water Sources in Ifite Ogwari, South-East Nigeria

description: Surface water is the main source of drinking water in Ifite Ogwari, Anambra State, South-East Nigeria. In aquatic environments, sediment functions as both a source and a sink of polycyclic aromatic hydrocarbons (PAHs). To determine the level of pollution, health concerns to people and the environment, and potential sources of PAHs in the surface water sediments in Ifite Ogwari, sediment samples were collected from 9 surface water sources used for drinking by Ifite Ogwari people and were analyzed using a Gas Chromatography/Flame Ionization Detector (GC-FID). In all sediment samples, only 11 PAHs out of 16 United States Environmental Protection Agency (USEPA) priority PAHs were detected while 5 were below detectable limits. The concentration of benzo[a]anthracene was high but detected in only 2 sediment samples while fluoranthene has a relatively close concentration across all samples. Benzo[k]fluoranthene has the highest concentration compared to other PAHs in the samples while benzo[a]pyrene has the lowest concentration across all samples. Atammele sediment was analyzed as the most carcinogenic followed by Isiachala with concentrations of 84.23 ng/µL and 51.92 ng/µL respectively. Ube stream sediment has the lowest concentration of PAHs (11.74 ng/µL). Ecological risk of the PAHs revealed a sediment-to-sediment variation in the risk profile. Human health risk assessment depicts that hazard index and total cancer risk for adults and children ranged from 2.3E-07 - 2.57E-05 and 4.85E-07 - 5.43E-05 respectively. Pyrogenic activities are the main source of PAHs in the sediments. The results provide a guide for monitoring PAHs pollution and protecting drinking water sources.
DOI: 10.57702/oog5qdcu
title: BCI Challenge Error-Related Negativity (ERN) Dataset

description: EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few seconds. For each recording additional information, often called meta data, is available, e.g., the ID of a human subject, the sequence number of a session or the sequence number of a task within a session.
DOI: 10.57702/wb447t4o
title: MasakhaNER 2.0

description: MasakhaNER 2.0 is a NER dataset in the news domain, including the annotations on 20 African languages.
DOI: 10.57702/gtpm6arg
title: ANERcorp

description: ANERcorp is a named entity recognition dataset.
DOI: 10.57702/9gub6qfr
title: Attacking Adversarial Attacks as A Defense

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors examined state-of-the-art attacks of various kinds.
DOI: 10.57702/kfbpv93z
title: ECG Segmentation by Neural Networks: Errors and Correction

description: ECG dataset for segmentation of Electrocardiograms
DOI: 10.57702/m7qxqe3k
title: 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in AD

description: A cross-season dataset for multi-weather SLAM in autonomous driving, covering seasonal and challenging perceptual conditions.
DOI: 10.57702/2nsvxns1
title: RGB-D SLAM Benchmark

description: A benchmark for the evaluation of RGB-D SLAM systems.
DOI: 10.57702/x66pluk6
title: MoSeg: A Dataset for Object Segmentation in Videos

description: MoSeg is a dataset for object segmentation in videos.
DOI: 10.57702/jlzbmo4p
title: HAM-D scores

description: The dataset used in the paper is a clinical trial data, specifically the Hamilton Rating Scale for Depression (HAM-D) scores for patients with major depressive disorder.
DOI: 10.57702/45o2m2yq
title: Dense Depth Posterior (DDP) from Single Image and Sparse Range

description: A deep learning system to infer the posterior distribution of a dense depth map associated with an image, by exploiting sparse range measurements.
DOI: 10.57702/jrulne0d
title: Animals with Attributes (AwA)

description: Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen classes to the unseen classes.
DOI: 10.57702/hnohj2se
title: Unstructured Social Activity Attribute (USAA)

description: A video dataset of 69 instance-level attributes for 8 classes of complex social group activity videos.
DOI: 10.57702/mcto1buy
title: SemEval 2012&3 Task 8

description: The dataset used for parallel corpus cleaning task, which includes the SemEval 2012&3 Task 8: Cross-lingual Textual Entailment dataset.
DOI: 10.57702/2jaud2a9
title: Common Pets in 3D (COP3D)

description: The Common Pets in 3D (COP3D) dataset contains casual, in-the-wild videos of pets, and used it to learn priors for novel view synthesis in dynamic scenes.
DOI: 10.57702/et25gr2o
title: Blind Justice: Fairness with Encrypted Sensitive Attributes

description: The dataset used in the paper is not explicitly described, but it is mentioned that it contains sensitive attributes such as gender or race.
DOI: 10.57702/mbpp986g
title: SQF Dataset

description: The SQF dataset is a dataset used for classification tasks, and it contains sensitive attributes such as race.
DOI: 10.57702/aoxccg7s
title: DHS and Afrobarometer datasets

description: Ground truth dataset for the indices used to measure poverty and education, including asset ownership data from the Demographic and Health Surveys (DHS) and Afrobarometer.
DOI: 10.57702/gl50lqnl
title: Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number

description: The dataset is used to study the pursuit and evasion of microswimmers at low Reynolds number.
DOI: 10.57702/7gdb68ym
title: Twitter datasets

description: The dataset used in this paper for controversy detection in social media.
DOI: 10.57702/oww6b9s8
title: Revisiting the Open-Domain Question Answering Pipeline

description: Open-domain question answering (QA) system that consists of a new multi-stage pipeline that employs a traditional BM25-based information retriever, RM3-based neural relevance feedback, neural ranker, and a machine reading comprehension stage.
DOI: 10.57702/2hhaptep
title: Natural Questions: A Benchmark for Question Answering Research

description: A benchmark for question answering research is introduced, which includes a large dataset of natural questions.
DOI: 10.57702/k5zo2ld9
title: An Analytical Study of different Document Image Binarization Methods

description: Document image has been the area of research for a couple of decades because of its potential application in the area of text recognition, line recognition or any other shape recognition from the image. For most of these purposes binarization of image becomes mandatory as far as recognition is concerned.
DOI: 10.57702/w5xlh8dz
title: Pascal Sentence dataset

description: The Pascal Sentence dataset is a collection of images with 5 corresponding sentences as exact descriptions.
DOI: 10.57702/daprkidg
title: CNN Fixations: An unraveling approach to visualize the discriminative image regions

description: The proposed approach is demonstrated on multiple vision tasks and modalities through a variety of applications.
DOI: 10.57702/731t7o5d
title: Wheat (Zuchtwert study)

description: The dataset contains a large number of features over a genome for a relatively small number of individuals.
DOI: 10.57702/a2wzsepj
title: Paired Stereotype Test (PST) dataset

description: The dataset used in the study to probe gender biases in Text-To-Image models through Paired Stereotype Test.
DOI: 10.57702/rvdsqsz4
title: PhysioNet/CinC Challenge

description: The dataset used in this study is a collection of electrocardiogram (ECG) signals for the 2017 PhysioNet/CinC Challenge.
DOI: 10.57702/bnymf6gc
title: Engineering, History, Economics, and Psychology datasets

description: The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.
DOI: 10.57702/ki1xbt14
title: Journal of Eastern African Studies dataset

description: The dataset is used for keyphrase extraction, and it contains abstracts from various domains such as Engineering, History, Economics, and Psychology.
DOI: 10.57702/nm64s36p
title: Perception and Control Datasets for UAV Aerial Navigation

description: The perception dataset Dp contains 300k images where a gate is visible and gate-pose annotations are available. The control component uses a dataset Dc of 17k images with UAV velocity annotations.
DOI: 10.57702/ivstquv9
title: Validation Sub-Datasets for UAV Aerial Navigation

description: The validation sub-datasets contain 200 images with exactly one visible gate, no visible gate in front, and multiple gates visible.
DOI: 10.57702/u06rnjd2
title: Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning

description: A key challenge in lifelong reinforcement learning (RL) is the loss of plasticity, where previous learning progress hinders an agent’s adaptation to new tasks.
DOI: 10.57702/p3cu384i
title: Catastrophic Negative Transfer

description: Catastrophic negative transfer: An overlooked problem in continual reinforcement learning.
DOI: 10.57702/zrzowovj
title: University of North Texas Dataset

description: The dataset used in this paper is from the introductory computer science class in the University of North Texas. It consists of 29 student answers from ten assignments and two exams.
DOI: 10.57702/ud31sv7p
title: Intrinsic Images in the Wild (IIW)

description: Intrinsic Images in the Wild (IIW) dataset for intrinsic image decomposition.
DOI: 10.57702/ydd4inz3
title: fMRI dataset for expressives

description: The dataset used in this study is a functional magnetic resonance imaging (fMRI) dataset, which consists of brain activity data from participants reading and translating sentences with and without expressives.
DOI: 10.57702/s29fnohk
title: 50 Classiﬁcation Data Sets

description: The dataset used in the paper is a collection of 50 classiﬁcation data sets downloaded from the UCI Machine Learning Repository.
DOI: 10.57702/dmu0fvk2
title: Regression and Survival Data Sets

description: The dataset used in the paper is a collection of 48 regression and 35 survival data sets from the UCI repository.
DOI: 10.57702/wrt2m66c
title: Bone Marrow Transplant: Children Data Set

description: The dataset used in the paper is the Bone marrow transplant: children data set from the UCI Machine Learning Repository.
DOI: 10.57702/j6hlpz7n
title: InsectUp: Crowdsourcing Insect Observations

description: Insect observation dataset for demographic shifts and classification
DOI: 10.57702/6kfnhisd
title: SPIPOLL dataset

description: Dataset for insect observation and classification
DOI: 10.57702/ahxq7skl
title: Big Traffic Database

description: The dataset is a big traffic database constructed by simulating traffic data to cover a variety of traffic situations.