cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rpa7jx
title: Occurrence Download

description: A dataset listing the 128 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BIOGEOnet : Bryophytes occurrences in Wallonia",
 "Geometry POLYGON((5.31336 49.79526,5.36891 49.79479,5.36966 49.83075,5.31407 49.83122,5.31336 49.79526))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 128 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011153-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-14817
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 6, no. 9 (September 1933)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.jbyvnm
title: Occurrence Download

description: A dataset containing 42402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Material citation)",
 "Continent is Africa",
 "TaxonKey is Plantae",
 "Year 1881-1890"
 ]
}

 The dataset includes 42402 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010586-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ppmjecld
title: SUN RGB-D

description: RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained depth network is still biased by RGB-based models which may result in a suboptimal solution.
DOI: 10.15468/dl.xqpppt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia serianensis C.W.Lin & C.I Peng)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012930-241126133413365/datasets/export for details.
DOI: 10.57702/jqus6alt
title: Diﬀusion Tensor Magnetic Resonance Imaging of the Left Atrium

description: A dataset of 7 diﬀusion tensor ﬁbers obtained from diﬀusion tensor magnetic resonance imaging.
DOI: 10.57702/exp0m45r
title: QM9

description: A dataset of small molecules for benchmarking molecule generation methods. The dataset consists of fingerprints of the molecules, and the goal is to predict the original molecule from the fingerprint.
DOI: 10.15468/dl.t38q64
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stromateus punctatissimus Temminck & Schlegel, 1845",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012931-241126133413365/datasets/export for details.
DOI: 10.57702/aauq4m07
title: Anthropic's HH-RLHF and OpenAI's summarization datasets

description: The dataset used in the paper is the Anthropic's HH-RLHF and OpenAI's summarization datasets.
DOI: 10.57702/5pw4fog0
title: MRI-CT dataset

description: MRI dataset consisting of 302 unlabeled volumes and CT dataset consisting of 613 unlabeled and 20 labeled volumes.
DOI: 10.57702/lq9r3b5v
title: COD10K: A Large-Scale Dataset for Camouflaged Object Detection

description: The COD10K dataset is a large-scale dataset for camouflaged object detection.
DOI: 10.57702/t1qv79ld
title: CHAMELEON: A Dataset for Camouflaged Object Detection

description: The CHAMELEON dataset is a dataset for camouflaged object detection.
DOI: 10.57702/t9433ucf
title: IEEE 14-node system dataset

description: The dataset used in this paper is a collection of power system measurement data, including node voltage magnitude, node active and reactive power, and branch active and reactive power.
DOI: 10.57702/teekum3g
title: IEEE 118-node system dataset

description: The dataset used in this paper is a collection of power system measurement data, including node voltage magnitude, node active and reactive power, and branch active and reactive power.
DOI: 10.57702/585l11c1
title: IEEE 300-node system dataset

description: The dataset used in this paper is a collection of power system measurement data, including node voltage magnitude, node active and reactive power, and branch active and reactive power.
DOI: 10.57702/pyf82r40
title: CLEVR

description: CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger, CompareAttribute, QueryAttribute.
DOI: 10.5281/zenodo.14261843
title: О'ZBEK MUSIQA MADANIYATI RIVOJIDA О'TMISH MEROSINING ILMIY - NAZARIY ASOSLARI.
DOI: 10.5281/zenodo.14261844
title: О'ZBEK MUSIQA MADANIYATI RIVOJIDA О'TMISH MEROSINING ILMIY - NAZARIY ASOSLARI.
DOI: 10.57702/8uwp5gih
title: Charades

description: The dataset used for video action classification, consisting of 9.8k training videos, 1.8k validation videos, and 157 classes.
DOI: 10.57702/rgyhi9o6
title: Penn Treebank dataset

description: The dataset used in the paper is the Penn Treebank dataset, which is a large-scale text classification dataset.
DOI: 10.57702/vcy8ieow
title: Ligand-Based Virtual Screening dataset

description: The dataset used in the paper is the Ligand-Based Virtual Screening dataset, which is a large-scale dataset for virtual screening.
DOI: 10.57702/7yiy9b73
title: ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection

description: A proposal-level point cloud SSL framework for 3D object detection, learning robust 3D representations by contrasting region proposals.
DOI: 10.15468/dl.br63gf
title: Occurrence Download

description: A dataset containing 35661 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 (Lathyrus niger (L.) Bernh.)"
 ]
}

 The dataset includes 35661 records from 534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012932-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zhs7z
title: Occurrence Download

description: A dataset containing 4581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia sophia (L.) Webb ex Prantl",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 4581 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012933-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgy9jk
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia serratipetala Irmsch.)"
 ]
}

 The dataset includes 102 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012936-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/hzxruufj
title: Real-world Affective Face Database (RAF-DB) 2.0

description: The Real-world Affective Face Database (RAF-DB) 2.0 is a dataset collected from the internet.
DOI: 10.6084/m9.figshare.27260937.v4
title: analysis_JGM_Stepgrandparents

description: Data analysis process
DOI: 10.57702/d8hb7009
title: E2D Hippocampus Segmentation

description: Hippocampus segmentation dataset used in the paper
DOI: 10.57702/ottfclvl
title: CC-359

description: CC-359 dataset used for validation
DOI: 10.57702/qb9ylsvw
title: Multi-View Partial point cloud dataset (MVP)

description: A large-scale Multi-View Partial point cloud dataset, which consists of over 100,000 high-quality incomplete and complete point clouds.
DOI: 10.57702/5dpz5ga4
title: Point Completion Network (PCN)

description: The Point Completion Network (PCN) dataset is a large-scale, multi-category dataset for shape completion. It contains pairs of partial and complete point clouds, where the partial point clouds are generated by back-projecting 2.5D depth images into 3D.
DOI: 10.15468/dl.df3rkn
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyporthodus septemfasciatus (Thunberg, 1793)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 97 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012937-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ry2maflr
title: TopNet

description: A point cloud completion network that generates complete 3D shapes from partial point clouds.
DOI: 10.57702/3e85lh4t
title: Detail Preserved Point Cloud Completion

description: A point cloud completion network that preserves the observed shape details and generates complete point clouds.
DOI: 10.15468/dl.4jeemz
title: Occurrence Download

description: A dataset containing 2202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Guatemala, El Salvador, Honduras, Belize, Nicaragua, Costa Rica, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Niphidium crassifolium (L.) Lellinger"
 ]
}

 The dataset includes 2202 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012935-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/boavvl73
title: Variational Relational Point Completion Network (VRCNet)

description: A variational relational point completion network that generates complete point clouds from partial point clouds.
DOI: 10.57702/z7jg0hsj
title: PixHt-Lab

description: A dataset for image compositing, containing 2D cutouts and backgrounds, used to evaluate the proposed PixHt-Lab system for generating realistic lighting effects.
DOI: 10.57702/ksgvlj3u
title: SSG++

description: A dataset used to evaluate the proposed SSG++ system for generating realistic soft shadows.
DOI: 10.57702/hj8qr5m1
title: WSJ0-QUT

description: WSJ0-QUT dataset
DOI: 10.57702/7mrd3ucd
title: NBV-Regression-Dataset

description: The dataset used for training and validation of the proposed next-best-view regression method.
DOI: 10.57702/4zm4meos
title: Synthetic-NSVF

description: The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
DOI: 10.57702/xvfunekb
title: TextZoom

description: Scene text image super-resolution (STISR) has been regarded as an important pre-processing task for text recognition from low-resolution scene text images.
DOI: 10.57702/k4pbjfn1
title: Flatsomatic: A Method for Compression of Somatic Mutation Proﬁles in Cancer

description: Somatic mutation profiles from cancer patients
DOI: 10.57702/30vcaxvv
title: The Cancer Genome Atlas (TCGA) pilot project

description: The Cancer Genome Atlas (TCGA) pilot project
DOI: 10.57702/f6xwnq5e
title: Cosmic: the catalogue of somatic mutations in cancer

description: Cosmic: the catalogue of somatic mutations in cancer
DOI: 10.57702/ivkbgeh3
title: SHP dataset

description: The SHP dataset is used to evaluate the performance of the proposed Compositional Preference Models (CPMs).
DOI: 10.57702/ky6rr4b0
title: Dataset for Instance-Aware Segmentation of Fluorescent Nuclear Images

description: An expert-annotated dataset consisting of fluorescent nuclear images and annotations of various tissue origins and sample preparation types, acquired using different levels of magnification.
DOI: 10.57702/abhfarfo
title: FER+

description: The dataset used for emotion recognition, featuring facial expression images.
DOI: 10.57702/33swg80x
title: FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading

description: A DRL library for automated stock trading with a focus on completeness, hands-on tutorials, and reproducibility.
DOI: 10.57702/ros2dvsf
title: Spatio-Temporal Graph Convolutional Networks

description: Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
DOI: 10.57702/wodo0uk3
title: Link Prediction Based on Graph Neural Networks

description: Link prediction based on graph neural networks.
DOI: 10.57702/ypqenwod
title: LIP

description: Human parsing aims to segment a human image into multiple semantic parts. It is a pixel-level prediction task which requires to understand human images in both the global level and the local level.
DOI: 10.57702/njez0k9s
title: PPSS

description: Human parsing aims to segment a human image into multiple semantic parts. It is a pixel-level prediction task which requires to understand human images in both the global level and the local level.
DOI: 10.57702/37irlgvn
title: IMAGENET1K

description: The IMAGENET1K dataset is a large-scale image classification dataset.
DOI: 10.57702/na2dkj38
title: TREC dataset for question classification

description: TREC dataset for question classification
DOI: 10.57702/x09ygp21
title: AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation

description: Video frame interpolation using Adaptive Fourier Neural Interpolation Operator
DOI: 10.57702/h5kulv2b
title: Vimeo-90K dataset

description: Video frame interpolation using Vimeo-90K dataset
DOI: 10.57702/ubnbtzi6
title: UCONV-CONFORMER: HIGH REDUCTION OF INPUT SEQUENCE LENGTH FOR END-TO-END SPEECH RECOGNITION

description: Optimization of modern ASR architectures is among the highest priority tasks since it saves many computational resources for model training and inference. The work proposes a new Uconv-Conformer architecture based on the standard Conformer model.
DOI: 10.57702/h7ghkvm2
title: Forehead Creases version 1 (FH-V1) dataset

description: Forehead creases dataset for forehead-based person verification
DOI: 10.57702/v0aojibe
title: PCB Component Detection using Computer Vision for Hardware Assurance

description: The dataset used in this study is a semantic PCB image dataset, which contains images of PCBs with annotated components.
DOI: 10.15468/dl.fb9j6d
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia siamensis Gagnep.)"
 ]
}

 The dataset includes 27 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012940-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmsj43
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Draba reptans (Lam.) Fernald",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 559 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012942-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xhw9vyuq
title: Faster-LTN: a neuro-symbolic, end-to-end object detection architecture

description: The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Logic Tensor Networks (LTNs), allow the combination of semantic knowledge representation and reasoning with the ability to efficiently learn from examples typical of neural networks.
DOI: 10.15468/dl.xdcsdw
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus septemfasciatus (Thunberg, 1793)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012943-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unv3sv
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012941-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfpp2m
title: Occurrence Download

description: A dataset containing 3587 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 (Lathyrus ochraceus Kitt.)"
 ]
}

 The dataset includes 3587 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012939-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14261856
title: "BOBURNOMA"DA ADABIY MIHIT TASVIRI
DOI: 10.5281/zenodo.14261857
title: "BOBURNOMA"DA ADABIY MIHIT TASVIRI
DOI: 10.57702/hxpt8c6t
title: PSU dataset

description: The PSU dataset was collected from two sources: an open dataset of aerial images available on Github and our own images acquired after flying a 3DR SOLO drone equipped with a GoPro camera.
DOI: 10.57702/gtwgl3xi
title: AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose

description: AvatarVerse is a stable pipeline for generating expressive high-quality 3D avatars from text descriptions and pose guidance.
DOI: 10.15468/dl.mu8h52
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agonandra brasiliensis Benth. & Hook.f."
 ]
}

 The dataset includes 1117 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012944-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/sbnp8ch7
title: Human Evaluation of Interpretability: The Case of AI-Generated Music

description: The dataset contains human-generated verbal interpretations of AI-generated music rules.
DOI: 10.57702/5b93dov3
title: LandScan USA Population Database 2019

description: The dataset used in this study is a 24-hour ambient population grid derived from LandScan USA Population Database 2019.
DOI: 10.57702/ena66326
title: Sentinel-2 Level-2A Product

description: The dataset used in this study is Sentinel-2 Level-2A product with atmospherically corrected and orthorectified images.
DOI: 10.57702/lc9q5vdy
title: ETH-XGaze

description: The ETH-XGaze dataset provides 80 subjects (i.e., 756,540 images) that consist of various illumination conditions, gaze and head pose ranges.
DOI: 10.57702/jx3s09vw
title: AmbientGAN: Generative models from lossy measurements

description: The AmbientGAN model adapts the original GAN configuration to handle cases with noisy or incomplete samples.
DOI: 10.57702/m3jkorl4
title: Video Captioning Dataset

description: A video captioning dataset generated by pseudolabeling videos with image captioning models.
DOI: 10.57702/piumfj18
title: Git

description: A generative image-to-text transformer for vision and language.
DOI: 10.57702/s593ylls
title: MTVG: Multi-text Video Generation with Text-to-Video Models

description: The authors used the pre-trained diffusion-based text-to-video (T2V) generation model without additional fine-tuning.
DOI: 10.57702/t6ufx217
title: SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

description: The proposed SA-UNet is evaluated on two publicly available retinal fundus image datasets: DRIVE and CHASE_DB1.
DOI: 10.57702/53d1s2v5
title: CHASE_DB1

description: The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.
DOI: 10.57702/m3eby57l
title: Face recognition in grayscale

description: State-of-the-art deep CNN face matchers are typically created using extensive training sets of color face images. Our study reveals that such matchers attain virtually identical accuracy when trained on either grayscale or color versions of the training set, even when the evaluation is done using color test images.
DOI: 10.57702/x8monlo8
title: LISS database of Common Imaging Signs of Lung diseases (CISLs)

description: The LISS database of Common Imaging Signs of Lung diseases (CISLs) contains 9 types of CISLs, including Ground Glass Opacity (GGO), lobulation, calciﬁcation, Cavity & Vacuolous (CV), spiculation, Pleural Indentation (PI), Bronchial Mucus Plugs (BMP), Air Bronchogram (AB), and Obstructive Pneumonia (OP).
DOI: 10.57702/zwfm34r1
title: Small dataset of Common Imaging Signs of Lung diseases (CISLs)

description: The dataset used in this paper is a small dataset of Common Imaging Signs of Lung diseases (CISLs) with 696 samples.
DOI: 10.57702/ey87555j
title: HOSPI-Tools Dataset

description: A hierarchical surgical tool dataset for evaluating deep learning techniques.
DOI: 10.57702/wmmj8pxy
title: Clotho: An audio captioning dataset

description: Audio captioning is a multi-modal task, focusing on using natural language for describing the contents of general audio. Most audio captioning methods are based on deep neural networks, employing an encoder-decoder scheme and a dataset with audio clips and corresponding natural language descriptions (i.e. captions). A significant challenge for audio captioning is the distribution of words in the captions: some words are very frequent but acoustically non-informative, and other words are infrequent but informative.
DOI: 10.57702/p5peem5y
title: Citynerf: Building nerf at city scale

description: Citynerf: Building nerf at city scale.
DOI: 10.57702/l3f9ukpv
title: A Deep Generative Model of Speech Complex Spectrograms

description: This paper proposes an approach to the joint modeling of the short-time Fourier transform magnitude and phase spectrograms with a deep generative model.
DOI: 10.57702/wyata32n
title: TCGA-LIHC

description: Abdominal MRI dataset used for motion correction
DOI: 10.15468/dl.3vc2a6
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia silletensis (A.DC.) C.B.Clarke)"
 ]
}

 The dataset includes 70 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012945-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xr3t9wce
title: nf2vec: A framework for deep learning on Neural Fields

description: The dataset used in this paper is a collection of 3D shapes represented as Neural Fields (NFs). The NFs are learned from various 3D discrete representations of ShapeNet [42] surfaces.