cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m62p26
title: Occurrence Download

description: A dataset containing 12063 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((46.38691 24.37907,47.02632 24.37907,47.02632 24.86696,46.38691 24.86696,46.38691 24.37907))"
 ]
}

 The dataset includes 12063 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012907-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkadnb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Steno attenuatus Gray, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012909-241126133413365/datasets/export for details.
DOI: 10.57702/zmh2z00b
title: AwA

description: Few-shot keypoint detection (FSKD) attempts to localize any keypoints, including novel or base keypoints, depending on the reference samples.
DOI: 10.15468/dl.juvwyj
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Guatemala, Belize, El Salvador, Honduras, Nicaragua, Costa Rica, Panama)",
 "TaxonKey is Neurodium lanceolatum (L.) Fée"
 ]
}

 The dataset includes 97 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012908-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/a6pt4gm7
title: MIMIC-III

description: MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical applications such as diagnosis, recommending medicine, etc. The dataset is used for training and testing deep neural networks for clinical time series analysis tasks.
DOI: 10.57702/1ys3pm2j
title: Patient Treatment Classiﬁcation

description: Patient Treatment Classiﬁcation is a dataset collected from a private hospital in Indonesia. It contains the 8 different laboratory test results of 3309 patients used to determine next patient treatment whether in care or out care.
DOI: 10.57702/kdxb5129
title: Private dataset of pediatric cardiac ultrasound views and CAMUS dataset

description: A private dataset of pediatric cardiac ultrasound views and a public dataset CAMUS for training and testing the proposed EDMAE model.
DOI: 10.57702/hfloev1m
title: Visem

description: The VISEM dataset contains sperm videos recorded from 85 participants.
DOI: 10.15468/dl.ynyuwu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia rubiteae M.Hughes)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012910-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/nq9hww1j
title: SCD: A Stacked Carton Dataset for Detection and Segmentation

description: A stacked carton dataset for detection and segmentation, containing carton images from three scenarios: comprehensive pharmaceutical logistics company (CPLC), e-commerce logistics company (ECLC), and fruit market (FM).
DOI: 10.57702/40zp1q1m
title: SCD Datasets

description: A dataset containing 520 images from CPLC as the carton stacking skeleton datasets, and 269, 51, and 23 images from FM as the foreground texture datasets.
DOI: 10.57702/bok4c593
title: ETH-Zurich dataset

description: The ETH-Zurich dataset contains a collection of 1000 examples of images, each with a label indicating whether the image contains a dog or not.
DOI: 10.57702/4uvq36cw
title: Pneumonia Detection dataset

description: The Pneumonia Detection dataset contains a collection of medical images of patients with and without pneumonia.
DOI: 10.57702/kfd1vuai
title: Real-world dataset for personalized federated unsupervised learning

description: The dataset used in the paper is a real-world dataset for personalized federated unsupervised learning. It is used to evaluate the performance of the proposed algorithms for personalized adaptive dimensionality reduction and personalized federated diffusion models.
DOI: 10.57702/ey3hofbg
title: Wikidata68K

description: A new dataset Wikidata68K is created taking Wikidata5M as raw data. The pipeline developed to create this dataset is inspired by [7] and is constituted of the following steps.
DOI: 10.57702/d4acblgs
title: GTA5→Cityscapes

description: The GTA5→Cityscapes dataset is a synthetic-to-real benchmark dataset for domain adaptation in semantic segmentation.
DOI: 10.15468/dl.qqe3eq
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptantha thyrsiflora (Greene) Payson",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 180 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012912-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99gb9r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is one of (Herbier du Québec (QUE) - Collection de plantes vasculaires, Canadian Museum of Nature Herbarium, Herbier Louis-Marie (QFA) - Collection de plantes vasculaires, University of Alberta Vascular Plant Herbarium (ALTA-VP), McGill University Herbarium Database, Harvard University Herbaria: All Records, Marie-Victorin Herbarium (MT) - Plantes vasculaires, Royal Ontario Museum Green Plant Herbarium (TRT), University of Lethbridge Herbarium (LEA))",
 "Geometry POLYGON((-140.83415 67.7666,-140.61734 60.61182,-127.31957 53.09569,-128.83725 50.78303,-123.77832 48.03675,-121.32112 48.97627,-113.37137 49.04854,-122.69426 64.80351,-140.32826 69.50109,-140.83415 67.7666))",
 "TaxonKey is Phragmites australis subsp. australis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012913-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/iz1a1o4i
title: 3D Vision with Transformers: A Survey

description: The dataset is a comprehensive review of over 100 transformer methods for different 3D vision tasks, including classiﬁcation, segmentation, detection, completion, pose estimation, and others.
DOI: 10.15468/dl.92vbvm
title: Occurrence Download

description: A dataset containing 9558 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Juncus usitatus L.A.S.Johnson)"
 ]
}

 The dataset includes 9558 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012911-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4s2iedym
title: 3D Object Tracking

description: The dataset is a collection of 3D point clouds for object tracking.
DOI: 10.57702/7rqjxfqb
title: Multi-view 3D Reconstruction

description: The dataset is a collection of 3D point clouds for reconstruction.
DOI: 10.57702/4nh8h4yr
title: ADE20k

description: Semantic segmentation is one of the fundamental prob-lems in computer vision, whose task is to assign a seman-tic label to each pixel of an image so that different classes can be distinguished.
DOI: 10.57702/u0gk6984
title: UniColor

description: The dataset used for unconditional, prompt-based, and stroke-based colorization tasks.
DOI: 10.57702/i75xd23d
title: VRPTW

description: The dataset used in the paper is the Vehicle Routing Problem with Time Windows (VRPTW).
DOI: 10.57702/7oh6dnou
title: Generated Video Dataset (GVD)

description: A large-scale generated video benchmark dataset for network training and evaluation, comprising synthetic videos from 11 different generator models.
DOI: 10.15468/dl.nhznz3
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physeter macrocephalus Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1360 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012914-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/89vgvmkl
title: NeRF-Player

description: The dataset used in the paper for 4D scene editing, consisting of high-quality rendering results of 4D scenes.
DOI: 10.57702/wcmzh8od
title: ILSVRC2012 dataset

description: The dataset used in the paper is the ILSVRC2012 dataset, which contains images of size 224x224.
DOI: 10.57702/f7o0826b
title: BLIP-2

description: BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
DOI: 10.57702/j6mmwl38
title: COMPAS

description: The COMPAS dataset is a collection of 10,000 records, each containing information about an individual's criminal history and demographic characteristics. The dataset is used for classification tasks, such as predicting the likelihood of recidivism.
DOI: 10.57702/kizmvro7
title: German Credit

description: Each node is a client in a German bank, while each edge between any two clients represents that they bear similar credit accounts. Here the gender of bank clients is considered as the sensitive attribute, and the task is to classify the credit risk of the clients as high or low.
DOI: 10.15468/dl.eppyde
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia rufipila Merr.)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012916-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xcgdysh4
title: Training Language Models to Perform Tasks

description: A dataset for training language models to perform tasks such as question answering and text classification.
DOI: 10.57702/kyhglr9x
title: Exploring the Effect of Noise and Architecture on Neural Machine Translation

description: A dataset for exploring the effect of noise and architecture on neural machine translation.
DOI: 10.15468/dl.egd4tf
title: Occurrence Download

description: A dataset containing 489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinium geyeri Greene",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 489 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012917-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/3dlvkd08
title: LAION

description: The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion model.
DOI: 10.57702/61dpflnn
title: Thousand Genomes dataset

description: The Thousand Genomes dataset is a collection of genomic data from individuals of European ancestry.
DOI: 10.57702/n3ylo3mf
title: Visual AutoRegressive modeling (VAR)

description: Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine “next-scale prediction” or “next-resolution prediction”, diverging from the standard raster-scan “next-token prediction”.
DOI: 10.57702/psp91s6r
title: SAR Ship Detection Dataset (SSDD)

description: SAR ship detection dataset (SSDD) is used for training and testing the proposed SAR ship detection method based on Swin Transformer and Feature Enhancement Feature Pyramid Network (FEFPN).
DOI: 10.57702/um4ac0gk
title: Tiny Images

description: Tiny Images dataset is a large dataset of images, each with a small size.
DOI: 10.57702/x7ihetjl
title: Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images

description: 80 CT-scans and related label data found in various public sources were considered for training and testing of U-Net architectures.
DOI: 10.57702/y8q4g7sc
title: IBRL Sensor Network Dataset

description: The dataset used in this paper is the WSN dataset of the Intel Berkeley Research Lab (IBRL).
DOI: 10.57702/lfwzgc95
title: Optical Coherence Tomography (OCT) Denoising

description: Optical coherence tomography (OCT) dataset used for denoising and image restoration.
DOI: 10.57702/d6z1a1rm
title: Stable Diffusion Wordnet Dataset

description: A synthetic image dataset generated with Stable Diffusion using the Wordnet taxonomy and the definitions of concepts it contains.
DOI: 10.57702/5uyrzrvc
title: CoNLL 2003

description: The CoNLL 2003 dataset contains 1393 articles with about 34K mentions, and the standard performance metric is mention-averaged accuracy.
DOI: 10.57702/j7cgpsec
title: TAC 2015 Tri-Lingual Entity Linking

description: The TAC 2015 Tri-Lingual Entity Linking dataset comprises 166 Chinese documents and 167 Spanish documents.
DOI: 10.57702/wvu8vcsw
title: MUTAG, IMDB-B, IMDB-M, and PROTEINS datasets

description: The dataset used in this paper is the MUTAG, IMDB-B, IMDB-M, and PROTEINS datasets for graph classification.
DOI: 10.57702/kuavk737
title: COVID-19 Segmentation from CT Images

description: The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.
DOI: 10.57702/bxzhgdrc
title: CUB-200

description: CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.
DOI: 10.57702/lm3o8chs
title: C3D

description: The dataset used in this paper is a collection of videos for various tasks such as video recognition and action recognition.
DOI: 10.15468/dl.hf8m8j
title: Occurrence Download

description: A dataset containing 48521 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Lagurus ovatus L.)"
 ]
}

 The dataset includes 48521 records from 567 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012918-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjfm2p
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia samhaensis M.Hughes & A.G.Mill.)"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012919-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1e9i12c6
title: Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

description: Realistic image super-resolution (Real-ISR) and image stylization
DOI: 10.15468/dl.gdch63
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physeter catodon Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012920-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/jcjvtj0m
title: INFOBATCH: LOSSLESS TRAINING SPEED UP BY UNBIASED DYNAMIC DATA PRUNING

description: Data pruning aims to obtain lossless performances with less overall cost. A common approach is to filter out samples that make less contribution to the training.
DOI: 10.57702/43i2jf0k
title: Grad-match: Gradient matching based data subset selection for efficient deep model training

description: Grad-match: Gradient matching based data subset selection for efficient deep model training.
DOI: 10.57702/wyo9hzzq
title: Accelerating deep learning with dynamic data pruning

description: Accelerating deep learning with dynamic data pruning.
DOI: 10.57702/yr09hu9l
title: Mixture of Gaussian Distributions (MoG)

description: The dataset used in this paper is a mixture of Gaussian distributions (MoG) with 4 components, each with a 2D Gaussian distribution with means [-1, -1], [-1, 1], [1, 1], [1, -1] and isotropic covariance σ2g with σg = 0.2.
DOI: 10.15468/dl.3e284j
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptantha cinerea (Greene) Cronquist",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 265 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012921-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/roppinro
title: CIFAR-10 Dataset

description: The dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method.
DOI: 10.57702/c539jlef
title: DocVQA and ChartQA Datasets

description: The dataset used for testing the Vary-base model, containing DocVQA and ChartQA datasets.
DOI: 10.57702/vq8hiiwh
title: ImageNet-Dogs15

description: The dataset used in the paper is ImageNet-Dogs15, a subset of ImageNet containing 15 dog breeds.
DOI: 10.57702/84atfr32
title: PASCAL VOC2007 test dataset and VOC2012 trainval datasets

description: The dataset used in the paper is PASCAL VOC2007 test dataset and VOC2012 trainval datasets.
DOI: 10.57702/d4khg4zq
title: Scene Flow and KITTI2015 datasets

description: Two publicly available datasets for training and testing: Scene Flow datasets and KITTI2015 dataset
DOI: 10.57702/7hoivqe9
title: TripAdvisor dataset

description: The dataset used in this research is TripAdvisor reviews with images, focusing on gastronomic platforms.
DOI: 10.57702/3f3nah26
title: ResNet50 dataset

description: The dataset used in this paper is the ResNet50 dataset, a deep neural network trained on the ImageNet dataset.
DOI: 10.57702/xpmdtj5u
title: VGG16 dataset

description: The dataset used in this paper is the VGG16 dataset, a deep neural network trained on the CIFAR-10 and CIFAR-100 datasets.
DOI: 10.57702/q8nn3ceg
title: Benchmark Datasets for Vision Recognition

description: The dataset used in the paper is a benchmark dataset for vision recognition, consisting of 10 datasets: Tiny ImageNet, Caltech-256, Flowers-102, Food-101, CIFAR-100, CIFAR-10, SVHN, MNIST, KMNIST, and Fashion-MNIST.
DOI: 10.57702/8qo9356e
title: MPQA

description: The dataset for structured sentiment analysis, which aims to predict a structured sentiment graph as shown in Figure 1(a), can be formulated into the problem of tuple extraction, where a tuple (h, e, t, p) denotes a holder h who expressed an expression e towards a target t with a polarity p.
DOI: 10.57702/jpe1833w
title: TREC

description: The dataset used for sentiment analysis, question type classification, and subjectivity classification tasks.
DOI: 10.57702/h7kn4dyo
title: Training Data Attribution for Diffusion Models

description: Diffusion models have become increasingly popular for synthesizing high-quality samples based on training datasets. However, given the oftentimes enormous sizes of the training datasets, it is difficult to assess how training data impact the samples produced by a trained diffusion model.
DOI: 10.57702/llsyhj0j
title: CelebA Dataset

description: Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model.
DOI: 10.57702/zjs6at3o
title: Seoul Air Pollution Dataset

description: The dataset is a large-scale dataset that consists of 3-year spatiotemporal data in Seoul city, Korea, from 2015 to 2017. This dataset includes air pollutants, such as PM2.5, meteorological data, like temperature, wind speed, wind direction, rainfall,...; trafﬁc volume of main roads; average driving speed on roads; and the air pollution from 3 areas in China (Beijing, Shanghai, and Shandong) that affects Seoul’s air quality.
DOI: 10.15468/dl.fumf4y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia scabrifolia C.I Peng, Yan Liu & C.W.Lin)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012922-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1h1y8vz6
title: Expanded Seoul Air Pollution Dataset

description: The dataset is a large-scale dataset that consists of 5-year spatiotemporal data in Seoul city, Korea, from 2015 to 2019. This dataset includes air pollutants, such as PM2.5, meteorological data, like temperature, wind speed, wind direction, rainfall,...; trafﬁc volume of main roads; average driving speed on roads; and the air pollution from 3 areas in China (Beijing, Shanghai, and Shandong) that affects Seoul’s air quality.
DOI: 10.57702/vjhbr41t
title: ZeroQ: A Novel Zero Shot Quantization Framework

description: Quantization is a promising approach for reducing the inference time and memory footprint of neural networks. However, most existing quantization methods require access to the original training dataset for retraining during quantization. This is often not possible for applications with sensitive or proprietary data. Existing zero-shot quantization methods use different heuristics to address this, but they result in poor performance, especially when quantizing to ultra-low precision. Here, we propose ZEROQ, a novel zero-shot quantization framework to address this. ZEROQ enables mixed-precision quantization without any access to the training or validation data. This is achieved by optimizing for a Distilled Dataset, which is engineered to match the statistics of batch normalization across different layers of the network.
DOI: 10.57702/jcsv6sbg
title: Data-Free Quantization through Weight Equalization and Bias Correction

description: Data-free quantization through weight equalization and bias correction.
DOI: 10.57702/t41gibb4
title: COVID-19 sentiment analysis using college subreddit data

description: Reddit social media data from 128 universities and colleges in the U.S. collected from 2019 to 2022
DOI: 10.57702/grqe7ixv
title: Reddit data

description: Reddit social media data from 128 universities and colleges in the U.S. collected from 2019 to 2022