cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/mg1hf50e
title: Mindboggle

description: The Mindboggle dataset contains 101 manually-labeled brain surfaces.
DOI: 10.13145/bacdive167337.20251217.10
title: Pararobbsia silviterrae Lin et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167338.20250331.9.3
title: Marinibacterium profundimaris Li et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167338.20251217.10
title: Marinibacterium profundimaris Li et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167339.20250331.9.3
title: Borrelia coriaceae Johnson et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167339.20251217.10
title: Borrelia coriaceae Johnson et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/symdo7l1
title: Speech model pre-training for end-to-end spoken language understanding

description: The Fluent Speech Commands (FSC) dataset is used for intent classification.
DOI: 10.13145/bacdive167340.20250331.9.3
title: Corynebacterium diphtheriae subsp. lausannense Tagini et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167340.20251217.10
title: Corynebacterium diphtheriae subsp. lausannense Tagini et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/mii9oban
title: CUB Bird dataset

description: CUB Bird dataset is a dataset of 500 images of 200 bird species, FGVC Aircraft dataset is a dataset of 100 aircraft models, DTD dataset is a dataset of 47 textures, ADE20K dataset is a dataset of 20,000 images of 150 objects, Cityscapes dataset is a dataset of 25,000 images of 30 classes, Pascal VOC dataset is a dataset of 11,000 images of 20 classes.
DOI: 10.13145/bacdive167341.20250331.9.3
title: Lysobacter silvisoli Zhang et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167341.20251217.10
title: Lysobacter silvisoli Zhang et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/5ln0j8ue
title: MetroMap Dataset

description: Aerial imagery dataset for remote sensing applications.
DOI: 10.13145/bacdive167342.20240510.9
title: Marisediminitalea mangrovi Zhang et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167342.20251217.10
title: Marisediminitalea mangrovi Zhang et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167343.20241212.9.2
title: Lewinella litorea Park et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/5uxaenbf
title: PET Image Synthesis Dataset

description: The proposed dataset for PET image synthesis, which consists of 115 HQ PET images and 90 training images.
DOI: 10.13145/bacdive167343.20251217.10
title: Lewinella litorea Park et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167344.20250331.9.3
title: Nocardioides dongkuii Cheng et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/8o1fvwff
title: Meta-dataset

description: A dataset of datasets for learning to learn from few examples.
DOI: 10.13145/bacdive167344.20251217.10
title: Nocardioides dongkuii Cheng et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/igbs1y5t
title: LSUN Tower

description: LSUN Tower dataset is a subset of the LSUN dataset, with 708,264 images.
DOI: 10.13145/bacdive167345.20250331.9.3
title: Halobacillus fulvus Booncharoen et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167345.20251217.10
title: Halobacillus fulvus Booncharoen et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167346.20250331.9.3
title: Vagococcus silagei Wu et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167346.20251217.10
title: Vagococcus silagei Wu et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167347.20250331.9.3
title: Winogradskyella ursingii Alejandre-Colomo et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167347.20251217.10
title: Winogradskyella ursingii Alejandre-Colomo et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/3v051c9a
title: Middle Dutch Literary Works Dataset

description: The dataset consists of various Middle Dutch literary works paired with their modern Dutch translations, used to train models for translating between the two language variants.
DOI: 10.13145/bacdive167348.20240510.9
title: Massilia chloroacetimidivorans Lee et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/oj0yk7yc
title: MobileNetV3 dataset

description: The MobileNetV3 dataset is a dataset for image classification.
DOI: 10.13145/bacdive167348.20251217.10
title: Massilia chloroacetimidivorans Lee et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167349.20250331.9.3
title: Winogradskyella costae Alejandre-Colomo et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/ttecs5ik
title: Modanet

description: The Modanet dataset is a large-scale street fashion dataset with polygon annotations.
DOI: 10.13145/bacdive167349.20251217.10
title: Winogradskyella costae Alejandre-Colomo et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167350.20250331.9.3
title: Rosenbergiella epipactidis Lenaerts et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/zb36k6na
title: MotionMaster

description: The dataset used in the paper is a video dataset, which contains videos with different camera motions.
DOI: 10.13145/bacdive167350.20251217.10
title: Rosenbergiella epipactidis Lenaerts et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167351.20240510.9
title: Streptomyces xylanilyticus Moonmangmee et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167351.20251217.10
title: Streptomyces xylanilyticus Moonmangmee et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/7mfns298
title: Lorenz and Rossler Attractors

description: The dataset consists of the differential equations governing the Lorenz attractor and the Rossler attractor, specifically designed to study their chaotic behavior and stability using neural network approaches.
DOI: 10.13145/bacdive167352.20250331.9.3
title: Histidinibacterium lentulum Wang et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167352.20251217.10
title: Histidinibacterium lentulum Wang et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/9xa3m41x
title: ShanghaiTechA and ShanghaiTechB

description: ShanghaiTechA and ShanghaiTechB are two crowd counting datasets containing images of crowds.
DOI: 10.13145/bacdive167353.20240510.9
title: Microvirga indica Tapase et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167353.20251217.10
title: Microvirga indica Tapase et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/3o59t1z2
title: AMiRo dataset

description: The dataset used in the paper is a comprehensive three-class example, where each class is represented by a set of sensor modalities (camera and LiDAR). The dataset is used to train a deep Q-Network to control multiple robots with various sensor modalities.
DOI: 10.13145/bacdive167354.20250331.9.3
title: Geomonas paludis Itoh et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167354.20251217.10
title: Geomonas paludis Itoh et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/ix03pd9g
title: NTU

description: The NTU dataset comprises 2,012 3D shapes from 67 categories, employed in visual object classification tasks.
DOI: 10.13145/bacdive167355.20250331.9.3
title: Parvularcula mediterranea Al-Omari et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167355.20251217.10
title: Parvularcula mediterranea Al-Omari et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167356.20250331.9.3
title: Parahaliea maris Liu et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/1kumcbdl
title: FFHQ-140k

description: Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such images via mathematical operations on the latent style vectors in the W/W+ space that effectively modulate the rich hierarchical representations of the generator.
DOI: 10.13145/bacdive167356.20251217.10
title: Parahaliea maris Liu et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/d5d5ftzf
title: An experimental study for tracking ability of deep q-network

description: An experimental study for tracking ability of deep q-network.
DOI: 10.13145/bacdive167357.20250331.9.3
title: Nitrincola tibetensis Phurbu et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167357.20251217.10
title: Nitrincola tibetensis Phurbu et al. 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/v8ch79fg
title: Animal Pose Dataset

description: Few-shot keypoint detection (FSKD) attempts to localize any keypoints, including novel or base keypoints, depending on the reference samples.
DOI: 10.13145/bacdive167358.20250331.9.3
title: Flavobacterium zhairuonense Debnath et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167358.20251217.10
title: Flavobacterium zhairuonense Debnath et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.23664696
title: Original Data for Nature Communications

description: Original Data for Nature Communications
DOI: 10.6084/m9.figshare.23664696.v1
title: AMF community composition in soil and plant roots

description:   Effects of climate warming and N inputs on AMF community composition in soil and plant roots.
DOI: 10.6084/m9.figshare.23664696.v2
title: Original Data for Nature Communications

description: Original Data for Nature Communications
DOI: 10.34740/kaggle/dsv/14440591
title: Daily Market Prices of Commodity India (2001-2026)
DOI: 10.25346/s6eecgix/6gxsek
title: msXL_334v_31_24.tif
DOI: 10.25346/s6eecgix/m1m3pj
title: msXL_334v_31_23.tif
DOI: 10.25346/s6eecgix/fqzrlj
title: msXL_334v_31_22.tif
DOI: 10.25346/s6eecgix/yvlwis
title: msXL_334v_31_21.tif
DOI: 10.15468/dl.zhtzkc
title: Occurrence Download

description: A dataset containing 38938752 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 38938752 records from 4016 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062492-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/s8kp5wzq
title: WeiboScope Dataset

description: The WeiboScope dataset tracks about 120,000 users from three samples: high-viral potential users, censored users, and random users. The dataset includes 64,022 censored posts and 40 million uncensored posts.
DOI: 10.57702/wrw74moa
title: NVIDIA Dynamic Scene Dataset

description: The dataset used in the paper is the NVIDIA Dynamic Scene Dataset, which contains 8 diverse scenes with 12 sequences captured by synchronized cameras at fixed positions.
DOI: 10.57702/6y5h6erl
title: Modularity of SAT Formulas

description: The dataset is used to analyze the modularity of SAT formulas.
DOI: 10.57702/oyofxxxg
title: Weibo dataset

description: The Weibo dataset collected over 1M dialogues from the Chinese social networking service Weibo, which includes commonsense knowledge facts from ConceptNet.
DOI: 10.57702/bgfobs3j
title: Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

description: The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is mentioned that it is used to test the stability and generalization of stochastic compositional gradient descent algorithms.
DOI: 10.57702/4bl6lgc4
title: CoWalk-10 and CoWalk-30 datasets

description: The CoWalk-10 and CoWalk-30 datasets consist of videos of walking Holstein-Frisian cows. The data were collected at a commercial dairy farm in Tilburg, The Netherlands, between 9 am and 4 pm, on the 22nd and 27th of May and on the 3rd and 4th of June 2019.
DOI: 10.15468/dl.2hazex
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.749202 24.282509, 88.672166 24.276932, 88.597047 24.26034, 88.525712 24.233145, 88.459931 24.196024, 88.40133299999999 24.149898, 88.35136300000001 24.095912, 88.311249 24.035405, 88.281969 23.969873, 88.26423 23.900937, 88.25845 23.830298, 88.264754 23.759696, 88.282967 23.690869, 88.312623 23.625508, 88.35297799999999 23.565214, 88.403031 23.511466, 88.461546 23.465577, 88.527086 23.42867, 88.598046 23.401645, 88.672691 23.385162, 88.749202 23.379622, 88.82571299999999 23.385162, 88.900358 23.401645, 88.971318 23.42867, 89.036858 23.465577, 89.095373 23.511466, 89.145426 23.565214, 89.18578100000001 23.625508, 89.21543699999999 23.690869, 89.23365 23.759696, 89.239954 23.830298, 89.234174 23.900937, 89.216435 23.969873, 89.187155 24.035405, 89.147041 24.095912, 89.097071 24.149898, 89.038473 24.196024, 88.972692 24.233145, 88.901357 24.26034, 88.826238 24.276932, 88.749202 24.282509))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080253-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/x5xn855z
title: spambase

description: The dataset is a spam classification dataset containing 4,600 emails labeled as spam or not.
DOI: 10.57702/5micfuky
title: SemEval07 corpus

description: The SemEval07 corpus is a dataset for semantic frame parsing in English.
DOI: 10.57702/1svmnj1p
title: Adversarially Regularized Graph Autoencoder for Graph Embedding

description: Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics. Most existing embedding algorithms typically focus on preserving the topological structure or minimizing the reconstruction errors of graph data, but they have mostly ignored the data distribution of the latent codes from the graphs, which often results in inferior embedding in real-world graph data.
DOI: 10.57702/mx1sk11d
title: Empathetic Dialogue dataset

description: The Empathetic Dialogue dataset is a dataset of conversations related to daily life, each with an emotion label, a situation described in text, and a short two-party dialogue.
DOI: 10.57702/181wlnku
title: Weather Tweets Dataset

description: A manually labelled dataset of 124,360 weather tweets collected by Asiaee T. et al. (2012) as part of the "Dialogue Earth" project.
DOI: 10.57702/bwpv8145
title: Openlane and Argoverse2

description: Openlane and Argoverse2 are public datasets used in autonomous driving
DOI: 10.57702/ikyj3th8
title: Equity Factor Crowding

description: The dataset used in the study of equity factor crowding, including anonymous market data, metaorder data, and Equity Factor trading signals.
DOI: 10.57702/huvxzp3v
title: Chinanews dataset

description: Chinanews dataset
DOI: 10.57702/jwm0lym3
title: 8i voxelized full bodies-a voxelized point cloud dataset

description: 8i voxelized full bodies-a voxelized point cloud input document dataset.
DOI: 10.57702/1pmgivb1
title: Detecting masked faces in the wild with lle-cnns

description: The dataset contains images of faces with masks, used for detecting masked faces in the wild.
DOI: 10.57702/8ukwxd72
title: Abdomen CT

description: Abdomen CT dataset was from the MICCAI 2022 FLARE Challenge [35] that focused on the segmentation of 13 abdominal organs, including the liver, spleen, pancreas, right kidney, left kidney, stomach, gallbladder, esophagus, aorta, inferior vena cava, right adrenal gland, left adrenal gland, and duodenum.
DOI: 10.57702/hngwrrdq
title: CMU Motion Capture Database

description: The dataset used for training and testing the model consists of 3D walking motion capture data of three different participants. The data is edited to form a continuous cycle with 1036 frames in total.
DOI: 10.57702/c5i9qfpk
title: CVBL Dataset

description: CVBL dataset is a comprehensive biometric dataset consisting of facial videos, fingerprint, and signature of each subject.
DOI: 10.57702/45kclcqg
title: Identification of closure terms using machine learning

description: The dataset used in this paper is a collection of kinetic simulations of magnetic reconnection. The simulations are performed using the iPiC3D code and are used to train machine learning models to learn a local closure relation for the full electron pressure tensor and the heat flux vector.
DOI: 10.57702/ikei45xx
title: SSD

description: A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names.
DOI: 10.57702/129tp1v9
title: Real-world dataset for indoor spatial query evaluation

description: The dataset used in this paper is a real-world dataset for indoor spatial query evaluation, containing 40 objects moving on the second floor of the Haley Center on Auburn University campus.
DOI: 10.15468/dl.ednbzs
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009406-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lcbv0q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015383-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.