cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14261931
title: A Database of Water Stable Isotopes in Iran's Strategic Aquifers
DOI: 10.57702/dccaxfik
title: GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks

description: Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces.
DOI: 10.57702/9nlm3b17
title: AIST++

description: AIST++ is a large-scale dance motion dataset built from [31]. It contains 1409 sequences of dance motions, covering 10 different dance genres with hundreds of choreographies.
DOI: 10.57702/e0q09dcs
title: CIFAR-10, CIFAR-100 and ImageNet-1K

description: The dataset used in the paper is CIFAR-10, CIFAR-100 and ImageNet-1K.
DOI: 10.57702/ckb0x7we
title: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

description: A dataset for subject-driven generation, containing 30 subjects, including objects and live subjects/pets.
DOI: 10.57702/k0nl6uzo
title: EFSC subset

description: The EFSC subset (comprising a total of 54,308 note events) of the Essen Folk Song Collection (EFSC) constitutes the data for the actual training and evaluation.
DOI: 10.15468/dl.qza4y5
title: Occurrence Download

description: A dataset containing 9979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liatris punctata Hook.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 9979 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013033-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja6ced
title: Occurrence Download

description: A dataset containing 103476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera simaruba (L.) Sarg."
 ]
}

 The dataset includes 103476 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012934-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/pds1gjwh
title: ADNI T2-FLAIR dataset

description: T2-weighted fluid-attenuated-inversion-recovery (T2-FLAIR) magnetic resonance imaging (MRI) dataset used for training and testing a deep-learning-based model to automatically select 4 specific T2-FLAIR slices covering the white matter landmarks along the cholinergic pathways.
DOI: 10.57702/8u00ftkp
title: TPMIC T2-FLAIR dataset

description: Local T2-FLAIR dataset used for testing the performance of the proposed Brain Slice Classification Algorithm (BSCA).
DOI: 10.57702/668d9sff
title: Convolutional Neural Networks with Approximate Multiplication

description: The dataset used in this paper for convolutional neural networks (CNNs) with approximate multiplication.
DOI: 10.57702/1ws5p704
title: Adult Census dataset

description: The Adult Census dataset contains information about individuals from the 1994 U.S. census, including age, sex, and income.
DOI: 10.57702/ohthyffv
title: Bank Marketing dataset

description: The Bank Marketing dataset is a commonly used dataset in the fairness literature, containing information about individuals' demographic and economic characteristics.
DOI: 10.6084/m9.figshare.27942330.v1
title: <b>Intraocular pressure</b>

description: Glaucoma is characterized by the progressive degeneration of retinal ganglion cells (RGCs) and damage to the optic nerve, with increased intraocular pressure (IOP) being one of the risk factors for the development of the disease. In addition to their role in visual processing, RGCs project to the suprachiasmatic nucleus (SCN) in the hypothalamus, which is responsible for generating and synchronizing biological rhythms with the light-dark (LD) cycle. These rhythms include body temperature, locomotor activity, feeding behavior, and hormonal secretion patterns. We have demonstrated that animals in advanced stages of glaucoma show alterations in the rhythm of spontaneous locomotor activity and core body temperature. Furthermore, humans with glaucoma exhibit sleep disturbances and disruptions in the circadian rhythm of body temperature and blood cortisol levels. Considering that glucocorticoid secretion has an endogenous circadian profile mediated by the SCN, this study aims to evaluate the impact of glaucoma-induced rhythmic alterations on the hypothalamic-pituitary-adrenal (HPA) axis. For this purpose, we will use an animal model that spontaneously develops glaucoma, assessing the molecular components (gene and protein expression) of the HPA axis in glaucomatous (Dba/2j) and control (Dba/2j GPNMB+) animals.
DOI: 10.6084/m9.figshare.27942330
title: <b>Intraocular pressure</b>

description: Glaucoma is characterized by the progressive degeneration of retinal ganglion cells (RGCs) and damage to the optic nerve, with increased intraocular pressure (IOP) being one of the risk factors for the development of the disease. In addition to their role in visual processing, RGCs project to the suprachiasmatic nucleus (SCN) in the hypothalamus, which is responsible for generating and synchronizing biological rhythms with the light-dark (LD) cycle. These rhythms include body temperature, locomotor activity, feeding behavior, and hormonal secretion patterns. We have demonstrated that animals in advanced stages of glaucoma show alterations in the rhythm of spontaneous locomotor activity and core body temperature. Furthermore, humans with glaucoma exhibit sleep disturbances and disruptions in the circadian rhythm of body temperature and blood cortisol levels. Considering that glucocorticoid secretion has an endogenous circadian profile mediated by the SCN, this study aims to evaluate the impact of glaucoma-induced rhythmic alterations on the hypothalamic-pituitary-adrenal (HPA) axis. For this purpose, we will use an animal model that spontaneously develops glaucoma, assessing the molecular components (gene and protein expression) of the HPA axis in glaucomatous (Dba/2j) and control (Dba/2j GPNMB+) animals.
DOI: 10.57702/zwfi5sc7
title: Fake News Detection on Social Media

description: Fake news detection on social media poses several new and challenging research problems.
DOI: 10.57702/to119ddz
title: Xfake: Explainable Fake News Detector with Visualizations

description: Explainable fake news detector with visualizations
DOI: 10.57702/sr5ukwyy
title: Coco: Common objects in context

description: Publicly available plant image datasets are crucial in precision agriculture as they reduce the time and eﬀort spent on data collection and preparation. Also, more data enable more eﬃcient algorithms to be developed and evaluated to address various computer vision problems.
DOI: 10.15468/dl.ac5vj7
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eryngium sanguisorba Cham. & Schltdl."
 ]
}

 The dataset includes 1086 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013035-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7vvjcf89
title: Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation

description: Autoregressive models recently achieved comparable results versus state-of-the-art Generative Adversarial Networks (GANs) with the help of Vector Quantized Variational AutoEncoders (VQ-VAE). However, autoregressive models have several limitations such as exposure bias and their training objective does not guarantee visual fidelity. To address these limitations, we propose to use Reinforced Adversarial Learning (RAL) based on policy gradient optimization for autoregressive models.
DOI: 10.57702/1i0fqblu
title: DeepSportRadar Player Re-identiﬁcation dataset

description: The DeepSportRadar Player Re-identiﬁcation dataset provides a given train, test and challenge split with the distribution in Table 2. The training set consists of 436 different players with mostly 20 images per player.
DOI: 10.57702/o0mtc3j8
title: Industry 4.0

description: The Industry 4.0 dataset is a dataset used for research on Industry 4.0.
DOI: 10.15468/dl.4kpc4w
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia variabilis Ridl.)"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013036-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/eyj43ozq
title: Head CT images dataset

description: A dataset of 140 consecutive non-contrast head CT scans gathered in January 2021.
DOI: 10.57702/pn9b13wr
title: NIH ChestX-ray14

description: A chest X-ray dataset for COVID-19 detection, pneumonia, and normal images
DOI: 10.57702/zfmgbljo
title: KP20k

description: The dataset used in the paper for keyphrase generation with correlation constraints.
DOI: 10.57702/i0zxyjfq
title: Inspec

description: Keyphrase generation dataset for scientific articles
DOI: 10.57702/k7dl17ri
title: Krapivin

description: The dataset used in the paper for keyphrase generation with correlation constraints.
DOI: 10.57702/uxsr0w0m
title: Pix3D

description: The Pix3D dataset is a collection of 3D models with RGB images, used for training and testing 3D object recognition and generation tasks.
DOI: 10.57702/qht93ul7
title: CIFAR-10, CIFAR-100, and CUB-200

description: The dataset used in the paper is CIFAR-10 and CIFAR-100, and CUB-200.
DOI: 10.57702/xnj3rukl
title: Virtual Adversarial Training

description: The authors used MNIST, SVHN, and CIFAR10 datasets for their experiments.
DOI: 10.15468/dl.q2m7gb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platessa cornuta Temminck & Schlegel, 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/0013037-241126133413365/datasets/export for details.
DOI: 10.57702/4up1iejy
title: COCO test-dev

description: The COCO test-dev dataset is used for instance segmentation. It contains 20k test-dev images.
DOI: 10.57702/qzdb98hv
title: Youtube-VOS

description: The Youtube-VOS dataset is a large-scale benchmark for multi-object video object segmentation, containing 120 videos with dense annotation.
DOI: 10.57702/xtr1xl3y
title: ogbn-arxiv

description: The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the Microsoft Academic Graph (MAG).
DOI: 10.57702/l0c76clx
title: DOTAv2.0

description: Aerial imagery [2], derived from various sources such as drones, satellites, and high-altitude platforms, plays a pivotal role in numerous real-world applications. One of the key tasks is object detection which aims to identify and locate objects of interest within a broader scene. However, the path to robust object detection in aerial images is challenging. Unlike ground-level images that are widely available, aerial data are restricted in dataset volume and generalization across different object classes [2]. An even more pressing concern is the long-tail distribution observed in these datasets, where certain classes of objects are vastly underrepresented. This sparsity of examples and the rare classes poses a significant hurdle for the training of generalized object detectors, as models often struggle to recognize and accurately detect these infrequent objects in real-world scenarios.
DOI: 10.57702/z2cq7j4o
title: Hamilton-Jacobi-Bellman equation for portfolio optimization

description: The dataset used in this paper is a fully nonlinear evolutionary Hamilton-Jacobi-Bellman (HJB) parabolic equation arising from portfolio optimization selection, where the goal is to maximize the conditional expected value of the terminal utility of the portfolio.
DOI: 10.57702/me060wtb
title: VGG-16 Dataset

description: The VGG-16 dataset is a large collection of images of objects.
DOI: 10.57702/1nplrc7b
title: UTD-MHAD

description: The UTD-MHAD is consists of 861 samples of 8 subjects. There are 27 actions in total, and every subject performed each action 4 times.
DOI: 10.57702/2neiy7ey
title: DHA

description: The DHA database is orgnized with 483 depth video sequences for 23 actions.
DOI: 10.57702/hyd2xj01
title: Riedel Dataset

description: The Riedel dataset is a benchmark dataset for relation extraction, developed by Riedel et al. (2010) by aligning Freebase relations with New York Times corpus.
DOI: 10.57702/sd1nqr83
title: GIDS Dataset

description: The GIDS dataset is a benchmark dataset for relation extraction, created by Jat et al. (2018) by extending the Google relation extraction corpus.
DOI: 10.57702/xbdv33q9
title: Waste Classification using Computer Vision and Deep Learning

description: Dataset for waste classification using computer vision and deep learning
DOI: 10.57702/i4vgh5gr
title: ActivityNet Challenge 2016

description: The dataset used in the paper is the ActivityNet Challenge 2016 dataset.
DOI: 10.57702/qhmpqsss
title: MOT17

description: Many Multi-Object Tracking (MOT) approaches exploit motion information to associate all the detected objects across frames. However, many methods that rely on filtering-based algorithms, such as the Kalman Filter, often work well in linear motion scenarios but struggle to accurately predict the locations of objects undergoing complex and non-linear movements.
DOI: 10.57702/4kbnm9pv
title: CrowdHuman

description: CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.
DOI: 10.57702/dhxrgkm8
title: MOT17 half-half

description: The proposed architecture is described in Fig. 3 which is based on TransTrack [21] with several improvements to reduce the computational complexity and model size.
DOI: 10.57702/klwc4otm
title: Southwest University Longitudinal Imaging Multimodal (SLIM) study

description: The dataset is used for brain image analysis and contains neuroimaging data acquired at different resolutions.
DOI: 10.15468/dl.hx5yds
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia variegata Y.M.Shui & W.H.Chen)"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013041-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bgfboq5y
title: MS COCO validation dataset

description: The MS COCO validation dataset is used for text-guided image inpainting task.
DOI: 10.57702/fyrepecd
title: PILOT dataset

description: The dataset is used for text-guided image inpainting task.
DOI: 10.57702/vtxqgg6t
title: Database

description: Database for testing HDA algorithms
DOI: 10.57702/mk9774dk
title: RLC 2024

description: The dataset used in the paper is a discretized continuous-time environment, where the agent interacts with the environment over fixed-duration, discrete time steps.
DOI: 10.57702/iqekug8q
title: Servo Reacher Environment

description: The dataset used in the paper is a Servo Reacher environment, which is a continuous-time control setting.
DOI: 10.57702/qvsb5t5n
title: VoiceBank-DEMAND

description: The VoiceBank-DEMAND dataset is a standard benchmark for speech denoising systems. It consists of 28 speakers with 4 signal-to-noise ratios (SNR) (15, 10, 5, and 0 dB) and contains 11572 utterances.
DOI: 10.57702/jh47ejux
title: Deep Noise Suppression (DNS) challenge

description: The Deep Noise Suppression (DNS) challenge dataset is a benchmark for speech denoising systems. It consists of 100 hours of training data synthesized using provided codes and default configuration.
DOI: 10.57702/w6b9t5d3
title: Adolescent Brain and Cognitive Development (ABCD) Study

description: The Adolescent Brain and Cognitive Development (ABCD) study dataset, a large, multi-site, longitudinal study monitoring the brain and cognitive development of a national cohort of children.
DOI: 10.15468/dl.gfcm6j
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambelania acida Aubl."
 ]
}

 The dataset includes 507 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013040-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/2qxvtnwj
title: INTER-SH

description: A dataset of synthetic images of hands performing various actions.
DOI: 10.57702/bfhe43hj
title: ModelNet10, ModelNet40, ShapeNetCore55

description: 3D shape datasets for active object recognition
DOI: 10.57702/4obugxap
title: Paderborn University (PU) dataset

description: The Paderborn University (PU) dataset is used to evaluate the proposed Multi-Scale Graph Convolution Filtering (MSGCF) method for few-shot fault diagnosis in industrial applications.
DOI: 10.57702/ian4t1e5
title: Structural Vision Transformer

description: Structural Vision Transformer (StructViT) is a vision transformer network that leverages structural self-attention (StructSA) to capture correlation structures in images and videos.
DOI: 10.57702/8spywewz
title: Conditional Traffic Generation

description: The Conditional Traffic Generation (CTG) model is a state-of-the-art model for controllable traffic simulation.
DOI: 10.57702/m60cb6ah
title: Tommy dataset

description: The Tommy dataset was originally compiled to determine the eﬃcacy and diagnostic performance of digital breast tomosynthesis (DBT) in comparison to digital mammography.
DOI: 10.57702/0b49pkie
title: Digital Database for Screening Mammography (DDSM)

description: The Digital Database for Screening Mammography (DDSM) is a database of 2,620 scanned film mammography studies.
DOI: 10.57702/zg0qjqn7
title: Gowalla

description: The Gowalla dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.
DOI: 10.57702/nnx6qv5h
title: Yelp2018*

description: This dataset is used to evaluate the proposed Disentangled Graph Collaborative Filtering (DGCF) model.
DOI: 10.57702/yevubkj7
title: Amazon-Book

description: The Amazon-Book dataset contains user-item interaction data, which is used to evaluate the performance of recommender systems.
DOI: 10.57702/qe63ic0a
title: Metric Optimization and Mainstream Bias Mitigation in Recommender Systems

description: This dataset is used for the experiment of metric optimization for ranking-based recommendation systems.
DOI: 10.15468/dl.ynepjt
title: Occurrence Download

description: A dataset containing 7081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America, Belize, El Salvador, Guatemala, Panama, Nicaragua, Costa Rica, Honduras)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pecluma M.G.Price"
 ]
}

 The dataset includes 7081 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013038-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.117012
title: Dated age of sediment core TN041-4F-MC
DOI: 10.1594/pangaea.909405
title: Planktic and benthic foraminifera 14C from the Gulf of California

description: Planktic and benthic foraminifera 14C measurements, published in Rafter et al. (2019) in GRL. These are a companion dataset to the benthic foraminifera 14C measurements published by Rafter et al. (2018) in Climate of the Past.
DOI: 10.1594/pangaea.186299
title: Radiocarbon age determinations on sediment core V30-49
DOI: 10.1594/pangaea.186309
title: Radiocarbon age determinations on sediment core KNO3104-0009PC
DOI: 10.1594/pangaea.769952
title: (Table 3) δ¹⁸O of chemoherm carbonate samples, Delta d18O, past d18O seawater values, fractionation factor alpha aragonite-seawater, reconstructed past seawater/fluid temperature and marine isotopic stages

description: Column 4: 230Th/234U ages of chemoherm carbonates (see also Table 2). The age for 3429-3-A-8 is a mean value of sample a and b. Column 5: Measured d18OPDB of chemoherm carbonate samples. Statistical uncertainty represents 1 s.d. Column 8: Measured d18OSMOW of chemoherm carbonate samples using d18OSMOW = 1.03086 x d18OPBD + 30.86 (Friedman and O'Neil, 1977). Column 9: Delta d18OPDB values for all samples from the Karner et al. (2002) tropical benthic stack. Column 10: Past d18OSMOW values of the seawater that the carbonates precipitated from using d18OSMOW (seawater) = Delta d18OPDB (Karner) x 1.03086 + 0.64. Column 11: Fractionation factor alpha aragonite-seawater using alpha = ((d18OSMOW, aragonite x 1000)/(d18OSMOW, seawater x 1000)). Column 12: Calculated past seawater or fluid temperature during the time of chemoherm carbonate precipitation. For the reconstruction of temperature we used the relationship of Böhm et al. (2000) established for aragonite precipitation in seawater (T(K) = (18.45) x 1000/1000ln alpha + 32.54). Kelvin (K) was converted to Celsius (°C). Column 13: Marine isotope stages for all chemoherm carbonate samples from Bassinot et al. (1994).
DOI: 10.1594/pangaea.775367
title: (Table 3) K-Ar dating of trachybasalts from the Sinii Utes Depression, Southern Primoye
DOI: 10.1594/pangaea.889650
title: Age determination of sediment core LEFRAUD, Le Fraud, France

description: This dataset was archived on 2018-05-03 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.785471
title: (Table 1) Radiocarbon ages of Holocene samples obtained from the Schaabe sandbar on Rügen Island

description: Lithological and stratigraphical data obtained from 167 boreholes from the Schaabe spit in northeast Rügen and 46 radiocarbon datings mainly on peats, as well as interpretation of diatoms and palynological assemblages lead to a reappraisal of its sedimentational history and morphological development. The new local shoreline displacement curve is compared and discussed with the previous curve of Vorpommern (Southern Baltic Sea).
description: Supplement to: Schumacher, Walter; Bayerl, Klaus-Albrecht (1997): Die Sedimentationsgeschichte der Schaabe und der holozäne Transgressisnsverlauf auf Rügen (Südliche Ostsee). Meyniana, 49, 151-168
DOI: 10.1594/pangaea.886455
title: Age determination of sediment core CHARRON, La Bergerie en Charron, France

description: This dataset was archived on 2018-02-19 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.132732
title: Dated age of sediment core NBP98-02-04-1
DOI: 10.1594/pangaea.77228
title: Age and carbon isotope composition of sediment core GIK13093 from Harrington Sound, Bermuda
DOI: 10.1594/pangaea.889007
title: Age determination of sediment core BUTOVKA, Butovka, Russia

description: This dataset was archived on 2018-04-23 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.1594/pangaea.907399
title: Geochemistry of permafrost core GL3, Annikitisoq
DOI: 10.1594/pangaea.888819
title: Age determination of sediment core BAIKA2, Baika, Russia

description: This dataset was archived on 2018-04-23 from the EPD database (http://www.europeanpollendatabase.net).