cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/i9yxytrc
title: Oxford-102

description: Oxford-102 dataset contains 8,189 flower images with 10 caption annotations.
DOI: 10.57702/zvbnqhl9
title: LAION-Aesthetics 6.5+

description: LAION-Aesthetics 6.5+ dataset contains 625K image-text pairs.
DOI: 10.57702/f0ddpzce
title: Aquatic Animal Species (AAS) dataset

description: The Aquatic Animal Species (AAS) dataset contains 4,239 images of aquatic animals in 46 categories. Each image has 1.2 instances on average and a maximum of 22 instances.
DOI: 10.57702/zlpi2gpe
title: MAS3K, COD10K (Subset), CAMO++ (Subset), and Collected AAS datasets

description: The MAS3K, COD10K (Subset), CAMO++ (Subset), and Collected AAS datasets are used for aquatic animal segmentation.
DOI: 10.57702/rqa2gltq
title: SPEED+ dataset

description: The dataset used in this paper for training a Spacecraft Pose Estimation network from a sparse set of real images depicting an unknown target spacecraft.
DOI: 10.57702/fmd0jvu8
title: Hardware-In-the-Loop (HIL) images of SPEED+

description: The dataset used in this paper for testing the Spacecraft Pose Estimation network trained on the SPEED+ dataset.
DOI: 10.57702/fznv8i90
title: ICM-57

description: In-context matting dataset for image matting, comprising 57 groups of real-world images with contextually-aligned foregrounds.
DOI: 10.57702/vlw6c864
title: AIM-500

description: Dataset for automatic natural image matting, comprising 500 images with annotated foregrounds.
DOI: 10.57702/srj5aqnt
title: SPI-GAN: DENOISING DIFFUSION GANS WITH STRAIGHT-PATH INTERPOLATIONS

description: Score-based generative models (SGMs) show the state-of-the-art sampling quality and diversity. However, their training/sampling complexity is notoriously high due to the highly complicated forward/reverse processes, so they are not suitable for resource-limited settings. To solving this problem, learning a simpler process is gathering much attention currently. We present an enhanced GAN-based de-noising method, called SPI-GAN, using our proposed straight-path interpolation definition.
DOI: 10.57702/rqkrn760
title: Elite dataset

description: The Elite dataset contains images with visual concepts encoded into textual embeddings.
DOI: 10.57702/aljky7eq
title: FUSFORMER: A TRANSFORMER-BASED FUSION APPROACH FOR HYPERSPECTRAL IMAGE SUPER-RESOLUTION

description: Hyperspectral image super-resolution via transformer-based fusion
DOI: 10.57702/xs9twus4
title: Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum

description: Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum
DOI: 10.57702/cnr8tp5k
title: SPML Dataset

description: A dataset of system prompts and user prompts for evaluating the effectiveness of SPML in detecting prompt injection attacks.
DOI: 10.57702/mk97typw
title: Tensor Trust Dataset

description: A dataset of prompt injection attacks for evaluating the effectiveness of Tensor Trust in detecting prompt injection attacks.
DOI: 10.57702/cl2zp0xy
title: Inria-Patch dataset

description: The Inria-Patch dataset is a dataset of adversarial patches generated using the attack method [14] to defend against patch attacks in human detection systems.
DOI: 10.57702/2v8g3uec
title: Inria dataset

description: The Inria dataset is a dataset of images used for object detection tasks.
DOI: 10.57702/2m8sue9v
title: MUSE: Text-to-Image Generation via Masked Generative Transformers

description: MUSE is a text-to-image generation model that uses masked generative transformers.
DOI: 10.57702/8nq23566
title: RGB-D-Fusion dataset

description: A custom dataset created by rendering RGB-D images using perspective projection from high-quality 3D models of people.
DOI: 10.57702/93iytnq4
title: HYGRiP dataset

description: The HYGRiP dataset contains fNIRS signals recorded during a unimanual hand grip task.
DOI: 10.57702/hpzxcgsl
title: SDC-Net: Video prediction using spatially-displaced convolution

description: We present an approach for high-resolution video frame pre-diction by conditioning on both past frames and past optical flows.
DOI: 10.57702/4s54nq4h
title: Pedestrian detection: A benchmark

description: A benchmark for pedestrian detection.
DOI: 10.57702/l34lfcam
title: Decomposing motion and content for natural video sequence prediction

description: Decomposing motion and content for natural video sequence prediction.
DOI: 10.57702/zakjsu1c
title: Prolific-Dreamer

description: Prolific-Dreamer: High-fidelity and diverse text-to-3D generation with variational score distillation.
DOI: 10.57702/0m1lr93x
title: VertXNet: An Ensemble Method for Vertebrae Segmentation and Identiﬁcation of Spinal X-Ray

description: The proposed pipeline, VertXNet, is trained and tested on either anonymized X-ray images (MEASURE 1 and PREVENT) from completed and anonymized secukinumab clinical trials or a public dataset (NHANES II).
DOI: 10.57702/hbmhw10q
title: Secukinumab, an interleukin-17a inhibitor, in ankylosing spondylitis

description: The dataset contains radiographs of patients with ankylosing spondylitis.
DOI: 10.57702/qf1h21qn
title: National Health and Nutrition Examination Survey II

description: The dataset contains radiographs of patients with various health conditions.
DOI: 10.57702/zqlar2lx
title: Non-Attentive Tacotron

description: Non-Attentive Tacotron is a neural text-to-speech model that combines a robust duration predictor with an autoregressive decoder.
DOI: 10.57702/hbdlzp4p
title: CODH/ACS

description: The CODH/ACS dataset is used to test the ability of TARGET-VAE to predict rotation and translation of objects in images.
DOI: 10.57702/clptk14j
title: MNIST(multi)

description: The MNIST(multi) dataset is used to test the ability of TARGET-VAE to identify multiple objects in images.
DOI: 10.57702/s1ri2066
title: RIM-ONE: An open retinal image database for optic nerve evaluation

description: Open retinal image database for optic nerve evaluation
DOI: 10.57702/8od06wqa
title: ANONYSIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation

description: Sign languages are rich visual languages, and the main mode of communication for Deaf communities. As with the computational study of spoken languages, sign language research requires large-scale datasets to effectively tackle the tasks of Sign Language Translation (SLT) and Sign Language Production (SLP). However, due to privacy concerns regarding the visual nature of sign language datasets, there is a hesitancy to contribute to data collection [3].
DOI: 10.23641/asha.27057691
title: Voices from the field (Clark et al., 2024)

description: <b>Purpose: </b>Tinnitus is a common health condition in the general population, with increased prevalence among military Veterans. Tinnitus is, in fact, the most prevalent military service–connected disability. There is no cure for tinnitus, but interventions are available to help patients manage their reactions to tinnitus and reduce its functional impact. Progressive tinnitus management (PTM) is a stepped-care protocol that involves coordinated audiological and behavioral health clinical services. PTM was endorsed by national Veterans Affairs (VA) audiology leadership in 2009. Given new clinical insights and research findings since the initial rollout of PTM, it remains necessary to improve and update the protocol in response to feedback from clinicians and patients.<b>Method:</b> This two-phase quality improvement project captured quantitative and qualitative feedback from VA and Department of Defense (DOD) clinicians and patients concerning PTM materials. A convergent parallel mixed-methods design was used to integrate the quantitative and qualitative data, and a consensus method was used to adjudicate any discrepant findings.<b>Results:</b> In Phase 1, 21 VAs and DOD clinicians and patients completed semistructured interviews and quantitative measures on the PTM handbook and workbook revisions. Phase 1 findings were recommendations to modify content, format, and adaptations of content (e.g., electronic formats with a clickable index). In Phase 2, six non-Veteran patients assisted in pilot testing PTM PowerPoint slides used by clinicians for PTM skills education sessions. Phase 2 findings indicated that the revised PTM PowerPoint slides were useful and clinically acceptable.<b>Conclusions: </b>Findings from this study are being used to revise and update materials in the PTM skills education sessions. More generally, the study demonstrates the necessity of end-user input to inform and implement clinical updates.<b>Supplemental Material S1. </b>DoD and VA clinician helpfulness ratings (Likert scale) of Progressive Tinnitus Management (PTM) Patient Workbook content.<b>Supplemental Material S2. </b>DoD and VA patient helpfulness ratings (Likert scale) of Progressive Tinnitus Management (PTM) Patient Workbook content.Clark, K., Lovelace, S., Moring, J. C., Thielman, E. J., Thompson, K. A., Henry, J. A., & Zaugg, T. (2024). Voices from the field: A quality improvement project for progressive tinnitus management 2.0. <i>American Journal of Audiology, 33</i>(4), 1077–1091. https://doi.org/10.1044/2024_AJA-23-00167
DOI: 10.23641/asha.27057691.v1
title: Voices from the field (Clark et al., 2024)

description: <b>Purpose: </b>Tinnitus is a common health condition in the general population, with increased prevalence among military Veterans. Tinnitus is, in fact, the most prevalent military service–connected disability. There is no cure for tinnitus, but interventions are available to help patients manage their reactions to tinnitus and reduce its functional impact. Progressive tinnitus management (PTM) is a stepped-care protocol that involves coordinated audiological and behavioral health clinical services. PTM was endorsed by national Veterans Affairs (VA) audiology leadership in 2009. Given new clinical insights and research findings since the initial rollout of PTM, it remains necessary to improve and update the protocol in response to feedback from clinicians and patients.<b>Method:</b> This two-phase quality improvement project captured quantitative and qualitative feedback from VA and Department of Defense (DOD) clinicians and patients concerning PTM materials. A convergent parallel mixed-methods design was used to integrate the quantitative and qualitative data, and a consensus method was used to adjudicate any discrepant findings.<b>Results:</b> In Phase 1, 21 VAs and DOD clinicians and patients completed semistructured interviews and quantitative measures on the PTM handbook and workbook revisions. Phase 1 findings were recommendations to modify content, format, and adaptations of content (e.g., electronic formats with a clickable index). In Phase 2, six non-Veteran patients assisted in pilot testing PTM PowerPoint slides used by clinicians for PTM skills education sessions. Phase 2 findings indicated that the revised PTM PowerPoint slides were useful and clinically acceptable.<b>Conclusions: </b>Findings from this study are being used to revise and update materials in the PTM skills education sessions. More generally, the study demonstrates the necessity of end-user input to inform and implement clinical updates.<b>Supplemental Material S1. </b>DoD and VA clinician helpfulness ratings (Likert scale) of Progressive Tinnitus Management (PTM) Patient Workbook content.<b>Supplemental Material S2. </b>DoD and VA patient helpfulness ratings (Likert scale) of Progressive Tinnitus Management (PTM) Patient Workbook content.Clark, K., Lovelace, S., Moring, J. C., Thielman, E. J., Thompson, K. A., Henry, J. A., & Zaugg, T. (2024). Voices from the field: A quality improvement project for progressive tinnitus management 2.0. <i>American Journal of Audiology, 33</i>(4), 1077–1091. https://doi.org/10.1044/2024_AJA-23-00167
DOI: 10.57702/eb8tb5xs
title: Test dataset for radio interferometry

description: A test dataset of 3 radio images (3c353, Hercules A, and Centaurus A) of size N = 512, with peak value normalized to 1, and dynamic range slightly above 104.
DOI: 10.15468/dl.378tkg
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mamíferos de la Ecoreserva Predio Refinería (Barrancabermeja, Santander) - Proyecto FIBRAS"
 ]
}

 The dataset's 21 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013498-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/14u0zl22
title: ReferIt

description: Referring image segmentation aims at localizing all pixels of the visual objects described by a natural language sentence.
DOI: 10.57702/oipus7c3
title: DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer

description: Speech-driven 3D facial animation is important for many multimedia applications. Recent work has shown promise in using either Diffusion models or Transformer architectures for this task.
DOI: 10.57702/3wf650j9
title: BIWI

description: BIWI dataset has total of 15,678 frames from 24 videos with 20 different subjects captured in the controlled indoor environment.
DOI: 10.57702/9exibjby
title: CULT: Continual Unsupervised Learning with Typicality-Based Environment Detection

description: FashionMNIST and MNIST datasets are used for continual unsupervised learning with variational autoencoders and generative replay.
DOI: 10.57702/t9n4m7jm
title: Gaussian Shading

description: Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
DOI: 10.57702/710gz4gf
title: COCO+LVIS dataset

description: The COCO+LVIS dataset contains millions of high-quality labels for natural images.
DOI: 10.57702/6urc6f7g
title: DiffPhysBA: Diffusion-based Physical Backdoor Attack

description: Person Re-Identification (ReID) systems pose a significant security risk from backdoor attacks, allowing adversaries to evade tracking or impersonate others.
DOI: 10.57702/ksjkl87k
title: HAR70+

description: Human Activity Recognition (HAR) datasets used in the paper for Federated Learning and Federated Unlearning.
DOI: 10.57702/o1jmskjc
title: Visual Transformation Telling (VTT)

description: The VTT dataset is a collection of instructional videos with annotated transformations.
DOI: 10.15468/dl.xck8bg
title: Occurrence Download

description: A dataset containing 4258 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Banco de Vida/ CJ Museum/ Amphibian collection"
 ]
}

 The dataset includes 4258 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013558-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwef9t
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-71.50854 3.99837,-71.50737 3.86747,-71.32563 3.86216,-71.32023 4.00069,-71.50854 3.99837)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata",
 "Year 2014-2024"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013557-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q79uxd
title: Occurrence Download

description: A dataset containing 979 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 (Lychnis alpina L.)"
 ]
}

 The dataset includes 979 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013559-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7kahy
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-71.50854 3.99837,-71.50737 3.86747,-71.32563 3.86216,-71.32023 4.00069,-71.50854 3.99837)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amphibia",
 "Year 2014-2024"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013556-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7dgsj764
title: SGEMM

description: The SGEMM dataset is a regression task from the UCI repository.
DOI: 10.15468/dl.tuvzhn
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "TaxonKey is Lagothrix flavicauda (Humboldt, 1812)"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013554-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73a8hk
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorilla beringei beringei"
 ]
}

 The dataset includes 659 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013560-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3zy8y
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorilla beringei beringei"
 ]
}

 The dataset includes 659 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013555-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rkmzd
title: Occurrence Download

description: A dataset containing 10741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "TaxonKey is Quercus garryana Douglas ex Hook.",
 "Year 2014-2024"
 ]
}

 The dataset includes 10741 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013551-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4xyx1tr7
title: LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

description: A boundary-aware domain adaptation model for LiDAR scan full-scene semantic segmentation (Li-DARNet).
DOI: 10.15468/dl.24bfv7
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atelocynus microtis (Sclater, 1883)"
 ]
}

 The dataset includes 48 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013553-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/iywlo95u
title: SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

description: A point cloud dataset with large quantity of dynamic instances.
DOI: 10.57702/gq3ovomz
title: SemanticUSL: A Dataset for Domain Adaptation for LiDAR Point Cloud Semantic Segmentation

description: A dataset for domain adaptation for LiDAR point cloud semantic segmentation.
DOI: 10.57702/a0jcr8w3
title: Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

description: New Natural Language Process (NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present Xiezhi, the most comprehensive evaluation suite designed to assess holistic domain knowledge.
DOI: 10.57702/210ykxpa
title: Xiezhi Benchmark

description: Xiezhi comprises multiple-choice questions across 516 diverse disciplines ranging from 13 different subjects with 249,587 questions and accompanied by Xiezhi-Specialty with 14,041 questions and Xiezhi-Interdiscipline with 10,746 questions.
DOI: 10.57702/8wlvg6z8
title: LAION-Aesthetic

description: The dataset used in the paper is LAION-Aesthetic, a large-scale image dataset.
DOI: 10.57702/zk77awsg
title: Voice Conversion Challenge 2018 (VCC2018) corpus

description: The Voice Conversion Challenge 2018 (VCC2018) corpus, which included recordings of 12 professional US English speakers with a sampling rate of 22050 Hz and a sample resolution of 16 bits.
DOI: 10.57702/iqd4g5mr
title: WORLD vocoder dataset

description: The WORLD vocoder dataset, which includes 513-dimensional spectral envelopes, 513-dimensional aperiodicity signals, and fundamental frequencies.
DOI: 10.57702/lmmp7nwx
title: DispersioNET: Joint Inversion of Rayleigh-Wave Multimode Phase Velocity Dispersion Curves

description: Rayleigh wave dispersion curves have been widely used in near-surface studies, and are primarily inverted for the shear wave (S-wave) velocity profiles. However, the inverse problem is ill-posed, non-unique and nonlinear. Here, we introduce DispersioNET, a deep learning model based on convolution neural networks (CNN) to perform the joint inversion of Rayleigh wave fundamental and higher order mode phase velocity dispersion curves.
DOI: 10.57702/6qf5q7hm
title: Trading data dataset

description: The trading data dataset is used to test the proposed CL-VAE. The dataset contains 100,000 rows of data describing trades made by traders at a Swedish investment bank.
DOI: 10.57702/3vkkq58u
title: MoViNets: Mobile Video Networks for Efficient Video Recognition

description: Mobile Video Networks (MoViNets) is a family of computation and memory efficient video networks that can operate on streaming video for online inference.
DOI: 10.57702/syt97la9
title: CLEVR dataset

description: The CLEVR dataset is a dataset for visual question answering, where each image is annotated with a question.
DOI: 10.57702/65ah875a
title: Cervical Spine Fracture Detection on Computed Tomography Imaging

description: A large annotated dataset of cervical spine CT images for fracture detection