cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr08517
title: ABC News Final Pre-Election Tracking Poll, October 1984
title: Archival Version

description: This survey was conducted prior to the 1984 presidential 
 election involving candidates Ronald Reagan and Walter Mondale. 
 Respondents were asked about their voter registration status, whether 
 they intended to vote in the presidential election, the candidate 
 they would vote for if the election were held that day, the candidate 
 they were currently leaning toward voting for, and whether they would 
 vote that way in the November election. Those surveyed were also 
 asked about their party preferences regarding congressional elections 
 in their districts. Background information on respondents includes 
 political party, participation in the 1980 presidential election, 
education, age, race, Hispanic origin, and sex.
description: Households were selected by random-digit dialing. Within 
 households, the respondent selected was the adult living in the 
 household who last had a birthday and who was at home at the time of 
the interview.
description: Datasets: 
DS1: ABC News Final Pre-Election Tracking Poll, October 1984
description: Adults aged 18 and over living in households with 
telephones in the 48 contiguous United States.
description: A weight variable with one implied decimal place has 
been included and must be used in any analysis.
DOI: 10.15468/dl.3psugw
title: Occurrence Download

description: A dataset containing 16291947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16291947 records from 3184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072216-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvbg2x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Musophagiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -90,150 -90,150 -60,120 -60,120 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058931-250920141307145/datasets/export for details.
DOI: 10.15468/dl.u3qyyd
title: Occurrence Download

description: A dataset containing 15585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fragaria ananassa"
 ]
}

 The dataset includes 15585 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058932-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rme3v
title: Occurrence Download

description: A dataset containing 1028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus atratus (Latham, 1790)"
 ]
}

 The dataset includes 1028 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020721-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/vop3fi7q
title: YouTube-VOS Dataset

description: The YouTube-VOS dataset is a sequence-to-sequence video object segmentation dataset, with 1000 videos and 1000 frames per video.
DOI: 10.57702/ci4wzrer
title: Random bits

description: The dataset used in the paper for neural joint source-channel coding.
DOI: 10.57702/dkg0hfi7
title: COCONut-B [6] and EntitySeg [49] and DIS5K [51] datasets

description: The dataset used for training the RWKV-SAM model, containing 242K images, including COCO labeled and unlabelled images, EntitySeg dataset with 30k high-resolution images annotated by human annotators, and DIS5K dataset with single-object high-quality annotations.
DOI: 10.57702/3fyjyz1a
title: SA-1B dataset

description: The SA-1B dataset used for training the SAM model, containing 11M images.
DOI: 10.57702/vd18j2dy
title: Prostate MRI-US Biopsy dataset

description: The dataset contains prostate MRI and ultrasound images with pathology and coordinates of tracked biopsy.
DOI: 10.57702/ulqqqz3x
title: MNIST, CIFAR10, and MVTecAD datasets

description: The MNIST, CIFAR10, and MVTecAD datasets were used to verify the anomaly detection and localization performance of the proposed method.
DOI: 10.57702/3c44l67q
title: MVTecAD dataset

description: The MVTecAD dataset is an image data on 15 products.
DOI: 10.57702/znlh1uw9
title: Gas furnace process

description: The dataset used for nonlinear system identiﬁcation using conditional probability calculation using restricted Boltzmann machine with application to system identiﬁcation
DOI: 10.57702/gvnoquz3
title: Kvasir-SEG: A Segmented Polyp Dataset

description: Kvasir-SEG: an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an experienced gastroenterologist.
DOI: 10.57702/xy8hc61z
title: NeoUNet: towards accurate colon polyp segmentation and neoplasm detection

description: A dataset for polyp segmentation and neoplasm detection in colonoscopy
DOI: 10.57702/p2dx8oqa
title: YCB dataset

description: The YCB dataset used for testing the FFHFlow-lvm model in the real-world scenario.
DOI: 10.57702/yl3jnsmr
title: DHHQA

description: A large-scale quality assessment database for digital human heads (DHHs). The constructed database consists of 55 reference DHHs and 1,540 distorted DHHs along with the subjective perceptual ratings.
DOI: 10.57702/xot8fyoe
title: Coronacases

description: A public dataset for COVID-19 lesion segmentation in CT scans.
DOI: 10.15468/dl.qdqc29
title: Occurrence Download

description: A dataset containing 9491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geranium sibiricum L., Geranium sibiricum f. glabrius H.Hara, Geranium sibiricum subsp. ruthenicum (R.Uechtr.) Nyman, Geranium europaeum Popov, Geranium sibiricum var. multiflorum Z.H.Lu, Geranium sibiricum subsp. popovii Tzvelev, Geranium sibiricum subsp. eusibiricum Gams, Geranium variabile Moench, Geranium amurense Tsyren., Geranium acrocarphum Ledeb., Geranium ruthenicum R.Uechtr., Geranium europaeum Popov ex Bobrov, Geranium sibiricum subsp. ruthenicum Uechtr., Geranium sibiricum var. glabrius (H.Hara) Ohwi, Geranium popovii (Tzvelev) Tzvelev, Geranium sibiricum subsp. ruthenicum (R.Uechtr.) Gams)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 9491 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014227-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/vrqd157t
title: Radiopedia

description: A public dataset for COVID-19 lesion segmentation in CT scans.
DOI: 10.57702/f9cz2epi
title: FRED-MD Dataset

description: The dataset consists of 116 economic indicators from the FRED-MD dataset by McCracken and Ng (2015), with no missing values over the full sample period from January 1960 to December 2019.
DOI: 10.57702/r4z62vcu
title: ICDAR-Art dataset

description: The ICDAR-Art dataset contains a total of 10,166 images, 5603 images in the training set and 4563 images in the testing set.
DOI: 10.57702/j0fiybud
title: Benchmark Dataset for Text-Grounded Object Generation in Real Images

description: A benchmark dataset for text-grounded object generation in real images
DOI: 10.57702/345ieun9
title: A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification

description: Biomedical image classification requires capturing of bio-informatics based on specific feature distribution. In most of such applications, there are mainly challenges due to limited availability of samples for diseased cases and imbalanced nature of dataset.
DOI: 10.57702/0w3465f8
title: Blood Cell Images

description: Blood cell image dataset, also known as Blood Cell Count and Detection (BCCD) dataset has been taken from publicly available repository at Kaggle. It is the collection of 12,500 images of blood cells of four different type: Eosinophil, Lymphocyte, Monocyte, and Neutrophil.
DOI: 10.18112/openneuro.ds005688.v1.0.0
title: visStim
DOI: 10.57702/l1kl08wj
title: wav2vec 2.0

description: The wav2vec 2.0 dataset is a self-supervised learning dataset for speech recognition tasks.
DOI: 10.57702/leqcsu6k
title: Liver Steatosis Segmentation with Deep Learning Methods

description: Liver steatosis segmentation dataset with deep learning methods
DOI: 10.15468/dl.tjc5j4
title: Occurrence Download

description: A dataset containing 761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxynotus centrina (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 761 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014229-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ensfbowz
title: BCDR

description: Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images
DOI: 10.57702/ku1nli10
title: Video Panoptic Segmentation

description: Video panoptic segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to video panoptic segmentation with high-resolution input features poses significant challenges, often leading to insufficient GPU memory capacity.
DOI: 10.57702/8f2rps4d
title: Video Instance Segmentation

description: Video instance segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to video instance segmentation with high-resolution input features poses significant challenges, often leading to insufficient GPU memory capacity.
DOI: 10.57702/id36dbh1
title: Parallel Domain (PD)

description: A synthetic dataset for multi-object tracking, providing ground truth annotations for invisible objects.
DOI: 10.57702/3ncedg73
title: Adaptive Graph Convolution Networks for Traffic Flow Forecasting

description: Traffic flow forecasting is a highly challenging task due to the dynamic spatial-temporal road conditions. Graph neural networks (GNN) has been widely applied in this task. However, most of these GNNs ignore the effects of time-varying road conditions due to the fixed range of the convolution receptive field.
DOI: 10.15468/dl.gw39xh
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notacanthus bonaparte Risso, 1840",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 239 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014228-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/8jotglt8
title: Flickr30K Entities

description: The Flickr30K Entities dataset consists of 31,783 images each matched with 5 captions. The dataset links distinct sentence entities to image bounding boxes, resulting in 70K unique entities and 276K unique bounding boxes.
DOI: 10.57702/dbq66v1j
title: ReferItGame

description: Visual grounding is the task of localizing a language query in an image. The output is often a bounding box as drawn in the yellow color.
DOI: 10.57702/nlcafaqj
title: rotMNIST

description: The dataset is used for testing the proposed GE-ViT model.
DOI: 10.57702/o9gb47pc
title: Diabetic Retinopathy Detection

description: The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.
DOI: 10.6084/m9.figshare.26317384.v2
title: Supplementary materials for "Modeling the effects of heat stress on production, health, and enteric methane emission in high-yielding dairy herds"

description: These supplementary materials belong to a study investigating the impacts of heat stress on dairy production and enteric methane emission.
DOI: 10.57702/kvneiw7f
title: GEODIFFUSION: TEXT-PROMPTED GEOMETRIC CONTROL FOR OBJECT DETECTION DATA GENERATION

description: Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage of diffusion models to generate the high-quality object detection data remains an underexplored area, where not only image-level perceptual quality but also geometric conditions such as bounding boxes and camera views are essential.
DOI: 10.57702/jb44ckav
title: Wildtrack

description: Multi-Camera Multi-Object Tracking (MC-MOT) dataset for reconfigurable spatial-temporal graph model
DOI: 10.57702/8seup5f4
title: CAMPUS

description: Multi-Camera Multi-Object Tracking (MC-MOT) dataset for reconfigurable spatial-temporal graph model
DOI: 10.57702/vq6yyx1k
title: Maps Dataset

description: Maps dataset is a dataset of maps images, containing 10,000 images with 10 categories.
DOI: 10.57702/4fhxmtkh
title: Photo.net

description: The dataset contains 3,581 images from the social network Photo.net, along with aesthetic and originality scores.
DOI: 10.57702/vffm9gdk
title: Soft-failure evolution dataset

description: The dataset is used for modeling soft-failure evolution for triggering timely repair with low QoT margins.
DOI: 10.57702/juqnh9u3
title: PhysioNet Mortality

description: The PhysioNet Mortality dataset contains multivariate time series data from 37 variables of Intensive Care Unit (ICU) records, with irregular measurements taken within the first 48 hours of admission.
DOI: 10.57702/loe5j346
title: Collider Events at the LHC

description: The dataset used in this paper is a collection of collider events generated using MadGraph and Pythia, with detector simulation using Delphes.
DOI: 10.57702/rbhbece2
title: Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images

description: The dataset used in this paper for homogeneous diffusion inpainting.
DOI: 10.57702/s4s8jslu
title: Monkeypox Skin Lesion Dataset (MSLD)

description: The Monkeypox Skin Lesion Dataset (MSLD) is a dataset used for the classification of human monkeypox disease from skin lesion images.
DOI: 10.57702/swcsf4la
title: MS MARCO Passage Ranking (MARCO Dev Passage)

description: Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support eﬀective search in the representation space.
DOI: 10.57702/g0gefq1k
title: MS MARCO Document Ranking (MARCO Dev Document)

description: Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support eﬀective search in the representation space.
DOI: 10.57702/127urcas
title: TREC 2019 Passage Ranking (TREC2019 Passage)

description: Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support eﬀective search in the representation space.
DOI: 10.57702/nnqkhhlx
title: TREC 2019 Document Ranking (TREC2019 Document)

description: Dense retrieval (DR) has shown promising results in information retrieval. In essence, DR requires high-quality text representations to support eﬀective search in the representation space.
DOI: 10.57702/8rsoomit
title: SAGA: Spectral Adversarial Geometric Attack on 3D Meshes

description: A novel framework for a geometric adversarial attack on 3D mesh autoencoders.
DOI: 10.57702/ish2l66h
title: CoMA: A Large-Scale Dataset of 3D Faces

description: A dataset of 3D faces used for training and testing 3D face reconstruction models.
DOI: 10.57702/78kfsnj3
title: SMAL: A Large-Scale Dataset of 3D Animals

description: A dataset of 3D animal models used for training and testing 3D shape reconstruction models.
DOI: 10.57702/ztyezqrn
title: MVTec-AD–A comprehensive real-world dataset for unsupervised anomaly detection

description: Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category methods often struggle with limited generalization capabilities due to their focus on a single category, and can fail when encountering variations in product. Recent feature reconstruction methods, as representatives in one-model–all-categories schemes, face challenges including reconstructing anomalous samples and blurry reconstructions.
DOI: 10.57702/63j1i9zo
title: BeanTechAD: A real-world dataset for industrial anomaly detection

description: Anomaly detection, the technique of identifying abnormal samples using only normal samples, has attracted widespread interest in industry. Existing one-model-per-category methods often struggle with limited generalization capabilities due to their focus on a single category, and can fail when encountering variations in product. Recent feature reconstruction methods, as representatives in one-model–all-categories schemes, face challenges including reconstructing anomalous samples and blurry reconstructions.
DOI: 10.57702/f6winyts
title: Tapai Group Stock Market Dataset

description: The dataset used in this paper is a stock market dataset, which includes group closing prices, stock technical indicators, and market sentiment.
DOI: 10.57702/kdtove2h
title: G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis

description: We propose G-HOP, a denoising diffusion based generative prior for hand-object interactions that allows modeling both the 3D object and a human hand, conditioned on the object category.
DOI: 10.57702/iy6xo3yi
title: HOI4D

description: We aggregate 7 diverse real-world interaction datasets resulting in long-tailed collection of interactions across 157 object categories, and train a shared model across these.
DOI: 10.57702/62o42v93
title: DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders

description: Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint equivariance, namely they tend to fail or perform poorly when dealing with viewpoints unseen at training time.
DOI: 10.57702/ry23twui
title: ITOP Dataset

description: The ITOP dataset contains depth images from top and front view. The training split and the test split consist of 40k and 10k images, respectively.
DOI: 10.57702/83772k0q
title: HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

description: Text-to-image generative models can generate high-quality humans, but realism is lost when generating hands. Common artifacts include irregular hand poses, shapes, in-correct numbers of fingers, and physically implausible finger orientations.
DOI: 10.57702/r5h6xg2w
title: NotImageNet32

description: A high-quality synthetic dataset created for evaluating generative models
DOI: 10.57702/yz6rbzpo
title: DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup

description: The authors propose a general framework to solve the two challenges simultaneously: inter-client data heterogeneity and intra-client data noise. The framework uses distributionally robust optimization to mitigate the negative effects caused by data heterogeneity and incorporates mixup techniques into the local training process to mitigate the effects of intra-client data noise.
DOI: 10.57702/2kx62p8q
title: Instagram popularity prediction

description: A comprehensive ablation study including transfer learning to represent visual semantics with the explainable features concepts, scenes, and objects.
DOI: 10.57702/jne61jer
title: Social Media Popularity Prediction

description: A dataset for popularity prediction of social media posts.
DOI: 10.15468/dl.aw6u76
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Mozambique, Eswatini)",
 "TaxonKey is Erythrophleum lasianthum Corbishley"
 ]
}

 The dataset includes 129 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014230-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/yiyps6zm
title: Grid-world environment

description: The dataset used in the paper is a grid-world environment, which is a discrete MDP. The environment has four walls, some obstacles, a start-state and a reward-state. The goal of the agent is to navigate the grid and reach the reward state.
DOI: 10.57702/zc7urfe8
title: BigBench

description: The BigBench dataset is a collection of 12 challenging language model reasoning tasks.
DOI: 10.57702/q6t2lpft
title: PointCLIP V2

description: The dataset used for 3D point cloud understanding tasks.
DOI: 10.57702/v11cvknm
title: Australian Credit Approval data

description: The dataset used in the paper for numeric data generation and classification.
DOI: 10.57702/lsy2hrur
title: Pima Indians Diabetes data

description: The dataset used in the paper for numeric data generation and classification.
DOI: 10.57702/6nfx3iq1
title: SPECT heart data

description: The dataset used in the paper for numeric data generation and classification.
DOI: 10.57702/pral111a
title: Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

description: The proposed dataset for multi-collection style transfer using adversarial gated networks.
DOI: 10.57702/42d3vwv6
title: Gait3D-Parsing

description: The Gait3D-Parsing dataset is a large-scale parsing-based gait recognition dataset in the wild. It is an extension of the Gait3D dataset, which is collected from an in-the-wild environment.
DOI: 10.57702/rv7mo5pw
title: RCT: RANDOM CONSISTENCY TRAINING FOR SEMI-SUPERVISED SOUND EVENT DETECTION

description: Sound event detection (SED) aims to detect sound events within an audio stream by labeling the events as well as their corresponding occurrence timestamps.
DOI: 10.57702/amb9m9f0
title: DCASE 2021 Challenge Dataset

description: The DCASE 2021 challenge dataset consists of 1578 weakly-labelled, 10000 synthesized strongly-labelled and 14412 unlabelled audio clips.
DOI: 10.57702/afxpb6mz
title: Allen et al. (2022) dataset

description: A massive fMRI dataset acquired to study the underpinnings of natural human vision.
DOI: 10.57702/967miy5i
title: DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection

description: A lightweight fully convolutional network for multi-view response selection