cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/ny6esoly
title: SinGAN: Learning a Generative Model from a Single Natural Image

description: SinGAN is a new unconditional generative model that can be learned from a single natural image.
DOI: 10.57702/4e4z2kcj
title: STL-10 dataset

description: The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy and diffusion spectral mutual information methods.
DOI: 10.57702/lwnxb0be
title: ActivityNet, MSR-VTT, and MSVD

description: The dataset used in the paper is ActivityNet, MSR-VTT, and MSVD. The authors used these datasets for text-to-video retrieval tasks.
DOI: 10.6084/m9.figshare.c.3699802_d4
title: Additional file 1: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: Data of PWTL and PWMT values in the study. (XLS 19 kb)
DOI: 10.57702/oab3pynr
title: DBP15KZH-EN, DBP15KJA-EN, and DBP15KFR-EN datasets

description: The DBP15KZH-EN, DBP15KJA-EN, and DBP15KFR-EN datasets are used for cross-lingual entity alignment. The datasets contain entities, relations, and attributes, and are used to evaluate the performance of the proposed model.
DOI: 10.6084/m9.figshare.c.3699802_d4.v1
title: Additional file 1: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: Data of PWTL and PWMT values in the study. (XLS 19 kb)
DOI: 10.6084/m9.figshare.c.3699802_d3.v1
title: Additional file 3: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: The PWTL and PWMT tests in the previous model tests from the referred literature (A and B) and the ones after the NMDA antagonists therapy in this study (C and D). (XLS 18 kb)
DOI: 10.57702/x1jhniqu
title: Mountain Car, Acrobot, and Gridworld

description: The dataset used in the paper is a reinforcement learning dataset, specifically the Mountain Car and Acrobot problems, and a Gridworld problem.
DOI: 10.6084/m9.figshare.c.3699802_d3
title: Additional file 3: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: The PWTL and PWMT tests in the previous model tests from the referred literature (A and B) and the ones after the NMDA antagonists therapy in this study (C and D). (XLS 18 kb)
DOI: 10.57702/tpif353x
title: Holter ECG

description: This dataset is used for multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV.
DOI: 10.6084/m9.figshare.c.3699802_d1
title: Additional file 2: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: Data of ratio of grey values by Î˛-actin in the western blot. (XLS 19 kb)
DOI: 10.6084/m9.figshare.c.3699802_d1.v1
title: Additional file 2: of Magnesium sulphate attenuate remifentanil-induced postoperative hyperalgesia via regulating tyrosine phosphorylation of the NR2B subunit of the NMDA receptor in the spinal cord

description: Data of ratio of grey values by Î˛-actin in the western blot. (XLS 19 kb)
DOI: 10.57702/2ynlbxv3
title: BIDMC

description: This dataset is used for multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV.
DOI: 10.57702/jw3phv0z
title: NSRDB

description: This dataset is used for multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV.
DOI: 10.34943/f0802a0c-6ed6-4481-80b3-9d0ec85867b0
title: Mothra Hydrophone Deployed 2016-06-19

description: The Ocean Sonics icListen HF Hydrophone 1293 was deployed on 2016-06-19 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.57702/uznbmpnd
title: Apple Watch

description: This dataset is used for multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV.
DOI: 10.15468/sgwq8p
title: FIOCRUZ | Geographical distribution of American cutaneous leishmaniasis and its phlebotomine vectors (Diptera: Psychodidae) in the state of São Paulo, Brazil

description: American cutaneous leishmaniasis (ACL) is a re-emerging disease in the state of São Paulo, Brazil. To understand both the vector and disease distribution we used an initial step in applying geographic information systems (GIS) and remote sensing (RS) tools to map disease-risk. A dataset containing 910 individual records of sand fly occurrence in the state of São Paulo, from 37 different sources, was compiled. These records date from between 1943 to 2009, and describe the presence of at least one of the six incriminated or suspected sand fly vector species in 183/645 (28.4%) municipalities. For the remaining 462 (71.6%) municipalities, we were unable to locate records of any of the six incriminated or suspected sand fly vector species (Nyssomyia intermedia, N. neivai, N. whitmani, Pintomyia fischeri, P. pessoai and Migonemyia migonei).
DOI: 10.34943/de5ff3e5-9dc8-42f3-8c15-b77c5bbb201e
title: Mothra Hydrophone Deployed 2016-06-19

description: The Ocean Sonics icListen HF Hydrophone 1293 was deployed on 2016-06-19 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.57702/62763l6l
title: LAION-10k

description: LAION-10k is a subset of LAION [24], comprising 10,000 image-text pairs with each image having a resolution of 256x256 pixels.
DOI: 10.57702/2yggxd2t
title: 25 public datasets

description: The dataset used for evaluation of the MS-CLIP model, which consists of 25 public datasets for zero-shot learning and linear probing.
DOI: 10.57702/xbf0z2wd
title: Action Genome Abductive Inference dataset

description: The Action Genome Abductive Inference dataset is a dataset for abductive action inference task. It is a extension of the Action Genome (AG) dataset and contains 9,848 videos with 476,000+ object bounding boxes and 1.72 million visual relationships annotated across 234,000+ frames.
DOI: 10.57702/7kbsn0gl
title: ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset

description: The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset. It contains over 14 million images from 21,841 categories.
DOI: 10.15468/dl.zwytds
title: Occurrence Download

description: A dataset containing 12396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palaemonidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12396 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036943-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/s9ue7zbu
title: AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild

description: The AffectNet dataset contains over a million images of faces annotated with valence and arousal.
DOI: 10.57702/3n7xnyp6
title: AFEW-VA: A Database for Valence and Arousal Estimation in-the-Wild

description: The AFEW-VA dataset contains video clips annotated with valence and arousal.
DOI: 10.57702/voyfi7aw
title: SEWA: A Large-Scale Video Dataset for Affective Computing

description: The SEWA dataset contains video clips annotated with facial landmarks, valence, and arousal.
DOI: 10.57702/9vr8wzxh
title: Calibration tests in multi-class classification: A unifying framework

description: Calibration tests in multi-class classification: A unifying framework
DOI: 10.57702/q3gqzd2h
title: GPFormulasInterpretability

description: A dataset of mathematical formulas used to evaluate the interpretability of formulas.
DOI: 10.57702/xitwfzh2
title: Comic Generation Dataset

description: The dataset used in this paper is a comic dataset, where the authors used ChatGPT to generate storylines and Stable Diffusion to generate comics.
DOI: 10.57702/u8f8v7fl
title: NELL

description: NELL is a large-scale, open knowledge graph that contains a vast amount of structured data.
DOI: 10.6084/m9.figshare.c.3698374_d1.v1
title: Additional file 2: of Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective

description: Survey Data Analysis. (XLS 283 kb)
DOI: 10.57702/6obh22x6
title: Spatio-Temporal Adversarial Learning for Detecting Unseen Falls

description: The proposed spatio-temporal adversarial learning framework for detecting unseen falls from videos.
DOI: 10.6084/m9.figshare.c.3698374_d1
title: Additional file 2: of Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective

description: Survey Data Analysis. (XLS 283 kb)
DOI: 10.57702/0ytm5frp
title: UR Dataset

description: The dataset contains videos of people performing normal activities and falls.
DOI: 10.57702/6x1kea2a
title: AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection

description: Few-shot object detection aims at learning a detector that can fast adapt to previously unseen objects with scarce annotated examples, which is challenging and demanding.
DOI: 10.57702/venz6aao
title: Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

description: Multimodal transformer deep learning framework for sensing-assisted beam prediction in wireless communications
DOI: 10.57702/8embm3av
title: DeepSense 6G: Large-Scale Real-World Multimodal Sensing and Communication Datasets

description: Development dataset for multimodal beam prediction challenge
DOI: 10.15468/dl.ytkzvy
title: Occurrence Download

description: A dataset containing 49987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-3.6842076997585584 40.41607787132736,-3.6820784301417566 40.41607787132736,-3.6820784301417566 40.41820714094416,-3.6842076997585584 40.41820714094416,-3.6842076997585584 40.41607787132736))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 49987 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036944-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/adjbrs24
title: ALEX : Active Learning based Enhancement of a Model’s EX plainability

description: An active learning (AL) algorithm seeks to construct an effective classifier with a minimal number of labeled examples in a boot-strapping manner.
DOI: 10.57702/dot2yhpl
title: CERRA

description: CERRA dataset is a high-resolution regional reanalysis dataset for Europe, providing data at a fine 5.5km horizontal resolution.
DOI: 10.57702/cier3fss
title: Integrated Global Radiosonde Archive (IGRA) V2

description: IGRA V2 dataset is a collection of global radiosonde profiles, encompassing temperature, humidity and wind measurements.
DOI: 10.57702/nq9a9p5n
title: Hybrid convolution-recurrent neural network surrogate model for geothermal reservoir production

description: A hybrid convolution-recurrent neural network surrogate model was constructed to approximate the relationship between permeability fields, well control sequences, and production data.
DOI: 10.6084/m9.figshare.c.3697654_d1
title: MOESM3 of Synthesis and fungicidal activity of pyrazole derivatives containing 1,2,3,4-tetrahydroquinoline

description: Additional file 3. Structural information (CIF) for Compound 10g.
DOI: 10.57702/3o397vgc
title: OPT-66B and Llama2-70B

description: The dataset used in the paper is OPT-66B, a large language model, and Llama2-70B, another large language model.
DOI: 10.57702/vbizkw9u
title: eDiff-I: Text-to-image diffusion models with an ensemble of expert denoisers

description: Text-to-image diffusion models with an ensemble of expert denoisers.
DOI: 10.57702/22p4ajpk
title: OpenML: Networked science in machine learning

description: Networked science in machine learning.
DOI: 10.57702/9e3hplkx
title: NIH ChestX-ray

description: The dataset for fine-tuning (target domains) includes NIH ChestX-ray, VinBigData Chest X-ray Abnormalities Detection, Shenzhen Tuberculosis, and COVID-19 Image Data Collection.
DOI: 10.57702/r8apggry
title: VinBigData Chest X-ray Abnormalities Detection

description: The dataset for fine-tuning (target domains) includes VinBigData Chest X-ray Abnormalities Detection, Shenzhen Tuberculosis, and COVID-19 Image Data Collection.
DOI: 10.57702/f4wssx0g
title: Shenzhen Tuberculosis

description: The dataset for fine-tuning (target domains) includes Shenzhen Tuberculosis and COVID-19 Image Data Collection.
DOI: 10.34943/b787188c-4eb6-4f48-ab8d-55d0bdb322e4
title: ODP 1364A Hydrophone Deployed 2016-06-23

description: The Ocean Sonics icListen HF Hydrophone 1353 was deployed on 2016-06-23 at ODP 1364A. ODP 1364A is a location at Clayoquot Slope. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.57702/bmqo1ixq
title: Meta Concept Context (MetaCoCo)

description: MetaCoCo is a large-scale benchmark for few-shot classification with spurious-correlation shifts.
DOI: 10.34943/6cfdfb5a-b8d1-43e3-8bb1-bf2ae31947e6
title: ODP 1364A Hydrophone Deployed 2016-06-23

description: The Ocean Sonics icListen HF Hydrophone 1353 was deployed on 2016-06-23 at ODP 1364A. ODP 1364A is a location at Clayoquot Slope. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.57702/tybwuplh
title: Tree structure-aware few-shot image classification via hierarchical aggregation

description: Tree structure-aware few-shot image classification via hierarchical aggregation.
DOI: 10.57702/x2endg3p
title: RotoGBML: Towards out-of-distribution generalization for gradient-based meta-learning

description: RotoGBML: Towards out-of-distribution generalization for gradient-based meta-learning.
DOI: 10.15468/dl.rh8btw
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stichopodidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 597 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036945-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/99ezq7wq
title: RCRN: Real-world Character Image Restoration Network via Skeleton Extraction

description: Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. This paper proposes a real-world character restoration network (RCRN) to effectively restore degraded character images.
DOI: 10.57702/qtttn6z4
title: Dataset for Real-world Character Image Restoration

description: This paper proposes a real-world character restoration network (RCRN) to effectively restore degraded character images.
DOI: 10.57702/dvuw898r
title: S3DIS and ShapeNetPart

description: The dataset used for indoor scene segmentation and object part segmentation.
DOI: 10.57702/ttp6lrtk
title: Precipitation Nowcasting using Deep Neural Network

description: Precipitation nowcasting dataset based on radar echo, collected by METEO FRANCE in France from 2017 to 2018.
DOI: 10.57702/hm8kfsf9
title: RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition

description: Fine-grained image recognition (FGIR) has been a challenging problem. Most of the current methods are dominated by convolutional neural networks (CNNs). FGIR has the problem of large intra-class variance and small inter-class variance. Therefore, FGIR methods need to be able to identify and localize region attention in an image that is critical for classification.
DOI: 10.6084/m9.figshare.c.3696910_d12.v1
title: Additional file 10: Table S6. of A functional connectome: regulation of Wnt/TCF-dependent transcription by pairs of pathway activators

description: Gene and PIN community identifiers. (XLS 34 kb)
DOI: 10.57702/8lenckpm
title: iNaturalist2017

description: A large-scale fine-grained image recognition dataset containing over 5,000 species of animals and plants.
DOI: 10.6084/m9.figshare.c.3696910_d12
title: Additional file 10: Table S6. of A functional connectome: regulation of Wnt/TCF-dependent transcription by pairs of pathway activators

description: Gene and PIN community identifiers. (XLS 34 kb)
DOI: 10.57702/k78gtwt0
title: Biometric Capacity of Generative Face Models

description: This dataset is used to estimate the biometric capacity of generative face models.
DOI: 10.5281/zenodo.14502367
title: DAAT quality of life tests

description: DAAT ant quality of life tests
DOI: 10.5281/zenodo.14502368
title: DAAT quality of life tests

description: DAAT ant quality of life tests
DOI: 10.57702/9y592ae1
title: DCFace

description: This dataset is used to train and evaluate the DCFace model.
DOI: 10.6084/m9.figshare.c.3696952_d3.v1
title: Additional file 3: of PubChem structure–activity relationship (SAR) clusters

description: (example3_bsid_545294.txt): contains the results of PubChem SAR clustering (Clusters 57–123) for BSID 545294 (visual cycle 1).
DOI: 10.57702/hkyjsbtl
title: Osteoarthritis Initiative (OAI) dataset

description: Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch exchange strategy.
DOI: 10.57702/lru50izu
title: PU-Net

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the PU-Net dataset for point cloud upsampling.
DOI: 10.34943/115343a9-6d88-4f6c-a88b-9a7b17ad53e0
title: ODP 1026 Hydrophone Deployed 2017-06-19

description: The Ocean Sonics icListen AF Hydrophone 2522 was deployed on 2017-06-19 at ODP 1026. ODP 1026 is a borehole site used to pinpoint an area within Cascadia. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b5ffa66c-d734-4fd3-878f-7f8ed2e51cad
title: ODP 1026 Hydrophone Deployed 2017-06-19

description: The Ocean Sonics icListen AF Hydrophone 2522 was deployed on 2017-06-19 at ODP 1026. ODP 1026 is a borehole site used to pinpoint an area within Cascadia. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.57702/35xxfuij
title: Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments

description: Deep networks for image classification often rely more on texture information than object shape. This paper presents a deep-learning model inspired by geometric moments, a classically well understood approach to measure shape-related properties.
DOI: 10.57702/kptf2pm1
title: Deep Geometric Moment (DGM) Model

description: The proposed model consists of three components: 1) Coordinate base computation: uses a 2D coordinate grid as input and generates the bases, 2) Image feature computation: obtains image features through ResNet blocks, and 3) Affine transform estimation: to transform the 2D coordinate grid to enable invariance learning.
DOI: 10.57702/dd05662m
title: RayMVSNet

description: RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
DOI: 10.57702/i1adxkor
title: CUB (Caltech UCSD Birds 200)

description: The CUB dataset comprises 200 bird species totaling 11,788 image samples, of which 50 categories are planned as unseen classes. The SUN dataset has a sample of 717 different scenes totaling 14,340 images, where 72 categories are unseen classes. The AWA2 dataset includes 50 classes of assorted animals totaling 37,322 samples, of which 10 categories are considered unseen classes.
DOI: 10.57702/7gdnko3z
title: SUN (SUN Attribute)

description: The SUN dataset has a sample of 717 different scenes totaling 14,340 images, where 72 categories are unseen classes. Attribute annotations are 102-dimensional.
DOI: 10.57702/11obgsqj
title: AWA2 (Animals with Attributes 2)

description: The AWA2 dataset includes 50 classes of assorted animals totaling 37,322 samples, of which 10 categories are considered unseen classes. Attribute annotations are 85-dimensional.