cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/47teleqg
title: Deep Aﬃnity Net: Instance Segmentation via Aﬃnity

description: Deep Aﬃnity Net: an eﬀective aﬃnity-based approach accompanied with a new graph partitioning algorithm Cascade-GAEC.
DOI: 10.57702/1zbjjmpb
title: nuScenes and Waymo datasets

description: The dataset used in this paper for street view synthesis, consisting of large-scale background scenes and foreground moving vehicles.
DOI: 10.15468/dl.g9xzgh
title: Occurrence Download

description: A dataset containing 1180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semelidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1180 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037031-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/3akiys03
title: Phase-field model of physical vapor deposition

description: The dataset consists of 2200 microstructure evolution trajectories by varying several simulation parameters: the deposition rate (v) from 0.3 to 1.0 (in simulation units), the angle of deposition from 50◦ to 90◦, species mobilites (MA, MB).
DOI: 10.57702/i5cv0hue
title: IowaRain

description: Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate change modeling and studies.
DOI: 10.57702/zcdawkf6
title: PointDA-10

description: The PointDA-10 dataset consists of three subsets of three widely-used datasets: ShapeNet, ModelNet, and ScanNet. All three subsets share the same ten distinct classes.
DOI: 10.15468/dl.qsrmuy
title: Occurrence Download

description: A dataset containing 14394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis aureus Linnaeus, 1758"
 ]
}

 The dataset includes 14394 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037030-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/dgnre2c6
title: PointSegDA

description: The PointSegDA dataset is a benchmark dataset for point cloud segmentation.
DOI: 10.57702/u5s3optm
title: LLMs for Social Robotics

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors recreated three existing HRI studies with LLMs.
DOI: 10.57702/hurdxtuo
title: SAM: Semantic Attribute Modulation for Language Modeling and Style Variation

description: The Semantic Attribute Modulation (SAM) for language modeling and style variation.
DOI: 10.57702/sdadvg8v
title: BBCNews

description: A formal English news dataset.
DOI: 10.57702/qme2glxb
title: Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI

description: Fast MRI aims to reconstruct a high fidelity image from partially observed measurements. Exuberant development in fast MRI using deep learning has been witnessed recently. Meanwhile, novel deep learning paradigms, e.g., Transformer based models, are fast-growing in natural language processing and promptly developed for computer vision and medical image analysis due to their prominent performance.
DOI: 10.57702/ld7gxo41
title: Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less

description: Self-StrAE is a model that processes a given sentence to generate both multi-level embeddings and a structure over the input.
DOI: 10.57702/l8e7149s
title: SemEval-2024 task 1: Semantic textual relatedness for African and Asian languages

description: A collection of semantic textual relatedness datasets for African and Asian languages.
DOI: 10.57702/lpkuuuoa
title: Dollar Street

description: The Dollar Street dataset is a geographically diverse dataset with 38,479 images from 289 object categories.
DOI: 10.57702/eqpgrbo7
title: GenFace

description: The GenFace dataset is a large-scale, diverse, and fine-grained high-fidelity deepfake dataset, which contains face forgery images generated by state-of-the-art synthesis techniques like diffusion, and eliminates the need for volunteers to participate in face swap, considerably reducing the cost of data collection.
DOI: 10.57702/zfdlo9ow
title: IQA

description: The IQA dataset is a benchmark for image quality assessment, which contains a large collection of images with varying quality.
DOI: 10.57702/0tavggaf
title: Thread Counting Dataset

description: Dataset for thread counting in old paintings
DOI: 10.57702/442iggur
title: Canvas Weave Pattern Dataset

description: Dataset for matching canvas weave patterns from X-ray images
DOI: 10.57702/feowk6wy
title: High-Fidelity Image Generation With Fewer Labels

description: High-fidelity image generation with fewer labels
DOI: 10.57702/m26jug9v
title: Semi-supervised conditional GANs

description: Semi-supervised conditional GANs
DOI: 10.57702/rdrsbqwe
title: Low-dose CT dataset

description: The dataset for low-dose CT image enhancement and segmentation.
DOI: 10.57702/mbjt83fw
title: MRBrainS18 dataset

description: The dataset used for self-supervised learning of 3D medical images.
DOI: 10.15468/dl.ve6yuj
title: Occurrence Download

description: A dataset containing 5305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Lathyrus L."
 ]
}

 The dataset includes 5305 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037032-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/0yzgeweh
title: Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

description: Scaling text-to-speech to a large and wild dataset has been proven to be highly effective in achieving timbre and speech style generalization, particularly in zero-shot TTS. However, previous works usually encode speech into latent using audio codec and use autoregressive language models or diffusion models to generate it, which ignores the intrinsic nature of speech and may lead to inferior or uncontrollable results.
DOI: 10.57702/p2072544
title: Public Registry of Religious Organizations

description: The Public Registry of Religious Organizations is a database maintained by the Colombian Ministry of the Interior, providing information on religious organizations in Colombia.
DOI: 10.57702/otkl7yqc
title: UIUC airfoil database

description: The UIUC airfoil database, containing nearly 1,600 real-world airfoil designs.
DOI: 10.57702/gimrc2o0
title: W-space of StyleGAN2

description: The dataset used in the paper is the W-space of StyleGAN2, which is a latent space of a generative adversarial network (GAN) model.
DOI: 10.15468/dl.dm5vzb
title: Occurrence Download

description: A dataset containing 3264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes lagopus (Linnaeus, 1758)",
 "Year 1997-2024"
 ]
}

 The dataset includes 3264 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037033-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/0z0h3s1f
title: CNAM-CD Dataset

description: The CNAM-CD dataset is a multi-class change detection dataset with a resolution of 0.5 meter.
DOI: 10.57702/751a648h
title: Using Large Language Models to Simulate Multiple Humans

description: The dataset used in the paper to simulate human behavior in various experiments, including the Ultimatum Game, Garden Path Sentences, Milgram Shock Experiment, and Wisdom of Crowds.
DOI: 10.57702/rfs5lvd8
title: Garden Path Sentences

description: The dataset of garden path sentences used in the paper to study the difficulty of comprehending relative clause constructions.
DOI: 10.57702/wmw9dqjr
title: Wisdom of Crowds

description: The dataset of general-knowledge questions used in the paper to study the collective intelligence of humans.
DOI: 10.57702/cjg4qveq
title: MPViT: Multi-Path Vision Transformer for Dense Prediction

description: Dense computer vision tasks such as object detection and segmentation require effective multi-scale feature representation for detecting or classifying objects or regions with varying sizes.
DOI: 10.57702/g9fp0i4u
title: Traumatic Brain Injury (TBI) Dataset

description: This dataset includes 70 T1-weighted and diffusion-weighted MRIs longitudinally collected from 35 individuals with TBI during the subacute and chronic post-injury periods. Each individual underwent longitudinal blood work to characterize blood protein biomarkers of axonal and glial injury and assessment of post-injury recovery in the subacute and chronic periods.
DOI: 10.57702/4okzicoc
title: COVID-19 Identiﬁcation ResNet (CIdeR)

description: The COVID-19 Identiﬁcation ResNet (CIdeR) dataset consists of 517 crowdsourced coughing and breathing audio recordings from 355 participants, of which 62 participants had tested positive for COVID-19 within 14 days of the recording.
DOI: 10.15468/dl.6wd7tv
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 575 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037034-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wry4xovf
title: SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model

description: This paper presents a Soft Labeling and Noisy Mixup-based open intent classification model (SNOiC). Most of the previous works have used threshold-based methods to identify open intents, which are prone to overfitting and may produce biased predictions.
DOI: 10.57702/uztzcjx5
title: CLINIC dataset

description: The CLINIC dataset spans ten domains, encompassing a total of 22,500 in-scope queries categorized into 150 distinct intents.
DOI: 10.57702/mznxj950
title: SNIPS dataset

description: The SNIPS dataset encompasses seven distinct intents spanning across multiple domains.
DOI: 10.57702/5v5ipqlg
title: Reconstruction by Inpainting for Visual Anomaly Detection

description: Reconstruction by inpainting for visual anomaly detection.
DOI: 10.57702/ngvwjo1y
title: Same Same but Different: Semi-Supervised Defect Detection with Normalizing Flows

description: Same same but different: Semi-supervised defect detection with normalizing flows.
DOI: 10.57702/e66of38j
title: Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

description: Unsupervised anomaly detection with generative adversarial networks to guide marker discovery.
DOI: 10.57702/g0gzlwhp
title: Cat Head

description: Cat Head is a dataset containing 9k images of cat heads each annotated with 7 landmarks.
DOI: 10.57702/172hls2r
title: A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction

description: Earthquake prediction using CNN-BiLSTM-AM model
DOI: 10.57702/sep63mb1
title: Earthquake catalog of mainland China

description: Earthquake catalog of mainland China
DOI: 10.57702/xkxee4il
title: Shepp-Logan Phantom

description: The dataset used in the paper is a Shepp-Logan phantom, a high-resolution image of size 2563 and a low-resolution image of 1283 voxels.
DOI: 10.57702/yv9jtb1k
title: Synapse dataset

description: Medical image segmentation using the proposed AgileFormer model
DOI: 10.57702/0xxmq17g
title: ImageNet32x32

description: The dataset used in the paper is ImageNet32x32, a down-sampled version of ImageNet.
DOI: 10.57702/3s38mkq7
title: Dutch precipitation map dataset

description: The dataset is used for precipitation nowcasting tasks.
DOI: 10.57702/u2nrmuak
title: French cloud cover dataset

description: The dataset is used for cloud cover nowcasting tasks.
DOI: 10.57702/x2xtvvzg
title: MuViHand

description: The MuViHand dataset is a synthetic multi-view video-based hand pose dataset with 402,000 synthetic hand images available in 4,560 videos.
DOI: 10.57702/ifsdzon5
title: k-meansNet: When k-means Meets Differentiable Programming

description: The proposed k-meansNet is used for clustering and has explicit interpretability in structure.
DOI: 10.57702/qhajijpt
title: DAA-200

description: Evaluation of image-text alignment for text-to-image synthesis models
DOI: 10.57702/1ur824jy
title: CC-500

description: Evaluation of image-text alignment for text-to-image synthesis models
DOI: 10.57702/dtqtm04o
title: AE-276

description: Evaluation of image-text alignment for text-to-image synthesis models
DOI: 10.57702/6v0jkxif
title: EPViT

description: Evaluation of image-text alignment for text-to-image synthesis models
DOI: 10.57702/0yh3ccal
title: Python-Plot13

description: The Python-Plot13 dataset contains 6350 python-related plot instances and involves 13 APIs, namely bar, barh, boxplot, broken barh, errorbar, hist, pie, plot, polar, scatter, stackplot, stem and step.
DOI: 10.57702/nwtd2fk2
title: ediffi

description: Text-to-image diffusion models with an ensemble of expert denoisers
DOI: 10.57702/barlqjmc
title: SCITDLR

description: The dataset used in the paper is a collection of summaries of longer texts, with human evaluators' ratings of existing summaries.
DOI: 10.57702/xpq4u2yn
title: Structure-preserving Gaussian Process Dynamics

description: The dataset is used for learning structure-preserving Gaussian process dynamics.
DOI: 10.57702/yljk8fms
title: Hamiltonian Neural Networks

description: The dataset is used for learning Hamiltonian neural networks.
DOI: 10.57702/azwqvdir
title: Probabilistic Recurrent State-Space Models

description: The dataset is used for learning probabilistic recurrent state-space models.
DOI: 10.5281/zenodo.14502495
title: Advanced HIV Disease - Surveys - AHD

description: This is a dataset for a study titled; Advanced HIV disease management and patient outcomes in rural malawi. It contains data for inpatients with advanced HIV disease for Neno district hospital and Lisungwi Community hospital in Neno, Malawi and outpatients attending advanced HIV disease clinic (labled IC3 data set).
DOI: 10.5281/zenodo.14502496
title: Advanced HIV Disease - Surveys - AHD

description: This is a dataset for a study titled; Advanced HIV disease management and patient outcomes in rural malawi. It contains data for inpatients with advanced HIV disease for Neno district hospital and Lisungwi Community hospital in Neno, Malawi and outpatients attending advanced HIV disease clinic (labled IC3 data set).
DOI: 10.15468/dl.cemdta
title: Occurrence Download

description: A dataset containing 8475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Lampornis amethystinus Swainson, 1827"
 ]
}

 The dataset includes 8475 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037036-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/gms6-8f78
title: FIRED Dominica Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for DOMINICA from November 2000  to August 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.57702/enlkmheu
title: GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

description: The dataset comprises 25,701 non-contrast 3D chest CT volumes with a 512×512 resolution and varying axial slice counts ranging from 100 to 600. These volumes originate from 21,314 unique patients and have been reconstructed using multiple methods appropriate for different window settings.
DOI: 10.57702/bomagbz7
title: Surf-NeRF: A modified implementation of S-NeRF for surface reconstruction from satellite images

description: A modified implementation of the Shadow Neural Radiance Field (S-NeRF) model for surface reconstruction from satellite images.
DOI: 10.15468/dl.5z7ef6
title: Occurrence Download

description: A dataset containing 36231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Junco phaeonotus Wagler, 1831"
 ]
}

 The dataset includes 36231 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037035-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.29968096
title: Quasar Feedback Survey 2: L-band maps

description: This data release is associated with the publication "The Quasar Feedback Survey: Revealing the importance of sensitive radio imaging deeper into the radio quiet regime", published in Njeri et al. (2025), MNRAS, under review.This work presents 1.4GHz and 6 GHz radio imaging, obtained from the Very Large Array for the 29 quasars from the extended sample, to lower luminosities (QFeedS-2), of the Quasar Feedback Survey (first presented in Jarvis et al. 2021, MNRAS, 503, 1780 https://doi.org/10.1093/mnras/stab549 ). These targets are z~0.1 quasar host galaxies, selected to be luminous in [O III] emission (L[O III] &gt; 10<sup>42.1</sup><sup> </sup>erg/s). For full details of the survey description and sample selection see Njeri et al. (2025).This data release contains the L-band (1.4GHz) images produced from the Very Large Array (VLA), in A-array configuration, for each of the sources. However, although 29 sources are in the survey, 3 sources were not observed in the L-band (J0213+0042, J0232−0811 and J2304−0841). Therefore, there are 26 L-band images in this data release. The raw VLA data were obtained under proposal ID 23A-214.All normal metadata, associated with astronomical images (observation details, source details, process of imaging), is included with the fits files.We used the VLA Calibration Pipeline 2024.1.0.8 for casa version 6.6.1 to reduce our data. Imaging was performed using the casa tclean algorithm with Briggs weighting of r=0.5 for all radio maps.
DOI: 10.25405/data.ncl.29968096.v1
title: Quasar Feedback Survey 2: L-band maps

description: This data release is associated with the publication "The Quasar Feedback Survey: Revealing the importance of sensitive radio imaging deeper into the radio quiet regime", published in Njeri et al. (2025), MNRAS, under review.This work presents 1.4GHz and 6 GHz radio imaging, obtained from the Very Large Array for the 29 quasars from the extended sample, to lower luminosities (QFeedS-2), of the Quasar Feedback Survey (first presented in Jarvis et al. 2021, MNRAS, 503, 1780 https://doi.org/10.1093/mnras/stab549 ). These targets are z~0.1 quasar host galaxies, selected to be luminous in [O III] emission (L[O III] &gt; 10<sup>42.1</sup><sup> </sup>erg/s). For full details of the survey description and sample selection see Njeri et al. (2025).This data release contains the L-band (1.4GHz) images produced from the Very Large Array (VLA), in A-array configuration, for each of the sources. However, although 29 sources are in the survey, 3 sources were not observed in the L-band (J0213+0042, J0232−0811 and J2304−0841). Therefore, there are 26 L-band images in this data release. The raw VLA data were obtained under proposal ID 23A-214.All normal metadata, associated with astronomical images (observation details, source details, process of imaging), is included with the fits files.We used the VLA Calibration Pipeline 2024.1.0.8 for casa version 6.6.1 to reduce our data. Imaging was performed using the casa tclean algorithm with Briggs weighting of r=0.5 for all radio maps.
DOI: 10.15468/dl.grquk5
title: Occurrence Download

description: A dataset containing 21471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus sylvarum",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21471 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004689-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1135486.10fu
title: SH1135486.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.