cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q6pyzx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrurus pectoralis Gilbert, 1892",
 "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/0013026-241126133413365/datasets/export for details.
DOI: 10.57702/7xgb8s97
title: Census Income Dataset

description: The Census Income dataset contains information about individuals' income levels and demographic characteristics.
DOI: 10.57702/a7l4jgri
title: Synthetic Dataset

description: The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs selected uniformly at random between [-10dB, 20dB], FOs selected uniformly at random between [-10%, 10%] of sample rate, and all further signal generation parameters such as filtering parameters, symbol order, etc. as specified in the paper.
DOI: 10.57702/wb61kvyg
title: ORB-SLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration

description: The dataset used in the paper is a set of point clouds generated by ORB-SLAM3, a state-of-the-art vision feature-based SLAM system.
DOI: 10.57702/97tqzqne
title: Vision Reservoir computing (ViR) for image classification

description: The Vision Reservoir (ViR) is a novel model for image classification, which treats the image as a sequence of pixel patches. The sequences are then processed by using a reservoir with a nearly fully connected topology.
DOI: 10.57702/8ht5lray
title: FaceForensics++

description: Deepfakes have become a critical social problem, and detecting them is of utmost importance. The FaceForensics++ dataset offers fake video datasets. Most of the detection methods generally perform well only in detecting fake images generated in the same domain (i.e., training and testing data are created with the same method), but not in detecting those generated in a different domain (i.e., test deepfakes are generated with different methods).
DOI: 10.57702/0kuh1nuy
title: Deepfake-in-the-Wild (DW) dataset

description: Deepfakes-generated videos raise not only significant social issues, but also ethical and privacy concerns. A recent report shows that nearly 96% of deepfake videos are porn with over 134 million views.
DOI: 10.57702/yw1o072d
title: Brain Tumor Segmentation

description: Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors.
DOI: 10.57702/8ihuxai8
title: Conceptual 12m

description: Conceptual 12m dataset for automatic image captioning
DOI: 10.57702/tcvecyps
title: SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules

description: This paper documents our characterization study and practices for serving text-to-image requests with stable diffusion models in production.
DOI: 10.57702/bqaubrur
title: D-NeRF

description: D-NeRF: Neural Radiance Fields for Dynamic Scenes
DOI: 10.57702/omvyrrqz
title: MotionCLIP: Exposing Human Motion Generation to CLIP Space

description: Human motion generation includes the intuitive description, editing, and generation of 3D sequences of human poses. It is relevant to many applications that require virtual or robotic characters. Motion generation is, however, a challenging task. Perhaps the most challenging aspect is the limited availability of data, which is expensive to acquire and to label.
DOI: 10.57702/o9vlluy3
title: BABEL dataset

description: The dataset used in this paper is the BABEL dataset, which contains 10881 motion sequences, with 65926 subsequences and the corresponding textual labels.
DOI: 10.57702/gn2ta2jl
title: MTL Trajet dataset

description: The MTL Trajet dataset consists of three types of data; validated mode and purpose of trips, GPS coordinates, timestamps, and respondent socio-demographics information.
DOI: 10.57702/c4mrkhhi
title: Breast Cancer Image Classification Method Based on Deep Transfer Learning

description: Breast cancer image classification method based on deep transfer learning
DOI: 10.57702/lfm0l54q
title: Computer-aided diagnosis of breast lesions in medical images

description: Computer-aided diagnosis of breast lesions in medical images
DOI: 10.57702/5bylh8bf
title: Citation Complex

description: The Citation Complex is a dataset formed by using simplicial embedding to represent real-world citations. The dataset is used to test the performance of an algorithm on simplicial complexes. The dataset is formed by the number of citations of k + 1 authors, where k = 0...5.
DOI: 10.57702/5t5rmfj4
title: Ocean Drifter Complex

description: The Ocean Drifter Complex is a dataset formed by using simplicial embedding to represent real-world ocean drifters. The dataset is used to test the performance of an algorithm on simplicial complexes. The dataset is formed by the number of citations of k + 1 authors, where k = 0...5.
DOI: 10.57702/mg2svw7n
title: Demonstration ITerated Task Optimization (DITTO)

description: The dataset used in the paper is a collection of email and blog posts from 20 distinct authors, with a focus on few-shot alignment of large language models.
DOI: 10.57702/dk69190p
title: FaceShifter
DOI: 10.57702/9jj8j4g7
title: MegaFS
DOI: 10.15468/dl.kz7w78
title: Occurrence Download

description: A dataset containing 7380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria dalmatica (L.) Mill.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 7380 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013027-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/2hv6vnta
title: 3DPW-OC

description: The 3DPW-OC dataset is a person-object occlusion subset of 3DPW, containing 20243 persons. The dataset is used for occluded human mesh recovery.
DOI: 10.57702/70gkp7sk
title: 3DPW-PC

description: The 3DPW-PC dataset is a person-person occlusion subset of 3DPW, containing 2218 individuals. The dataset is used for occluded human mesh recovery.
DOI: 10.15468/dl.g22vju
title: Occurrence Download

description: A dataset containing 17078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrobates truncatus (Cope, 1861)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17078 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013028-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qud5h3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia trichochila Warb.)"
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013029-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/pk9cntwa
title: 3DPW-Crowd

description: The 3DPW-Crowd dataset is a person crowded subset of 3DPW, containing 1923 persons. The dataset is used for occluded human mesh recovery.
DOI: 10.57702/26xvbt8z
title: CMU-Panoptic

description: The CMU-Panoptic dataset is a multi-person indoor dataset collected with multi-view cameras. The dataset is used for occluded human mesh recovery.
DOI: 10.57702/so5nkxgk
title: Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images

description: A novel dataset of partially manipulated images using diffusion models and an eye-tracking experiment to record the eye movements of different observers while viewing real and fake stimuli.
DOI: 10.57702/n8m6goo2
title: InstructPix2Pix: Learning To Follow Image Editing Instructions

description: A dataset for instruction-guided image editing.
DOI: 10.57702/y8yht77x
title: MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

description: A dataset for instruction-guided image editing.
DOI: 10.57702/8ju4i4la
title: SSL4EO-S12

description: SSL4EO-S12: A large-scale, globally distributed, multi-temporal and multi-sensor dataset for self-supervised learning in Earth observation.
DOI: 10.57702/ttl6vr1h
title: PhilEO Bench

description: A dataset for evaluating geospatial foundation models
DOI: 10.57702/1x6b7brd
title: Sen1Floods11

description: A dataset for evaluating geospatial foundation models
DOI: 10.57702/pv38rh7f
title: Wildfire Scar Mapping

description: A dataset for evaluating geospatial foundation models
DOI: 10.15468/dl.ghpf44
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaenoides pectoralis (Gilbert, 1892)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013030-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wfxdctkp
title: Multi-Temporal Crop Segmentation

description: A dataset for evaluating geospatial foundation models
DOI: 10.57702/leeqdhaa
title: RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent

description: RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse Gradient Descent
DOI: 10.57702/o9ct6x5b
title: IBRNet: Learning Multi-View Image-Based Rendering

description: A method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views.
DOI: 10.57702/mn1z2c27
title: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

description: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
DOI: 10.57702/d58ch9cb
title: Stereo Magnification: Learning View Synthesis using Multi-Plane Images

description: Stereo Magnification: Learning View Synthesis using Multi-Plane Images
DOI: 10.57702/tqf1i47u
title: Nex: Real-Time View Synthesis with Neural Basis Expansion

description: Nex: Real-Time View Synthesis with Neural Basis Expansion
DOI: 10.57702/759r19jy
title: Soft 3D Reconstruction for View Synthesis

description: Soft 3D Reconstruction for View Synthesis
DOI: 10.57702/bl8us667
title: KL-Divergence-Based Region Proposal Network for Object Detection

description: Object detection using deep neural networks (DNN) has shown excellent performance and has been used in many industrial fields like face recognition, pedestrian detection, and autonomous vehicle.
DOI: 10.57702/esq64rzd
title: PASCAL VOC and MS COCO

description: PASCAL VOC and MS COCO datasets were used for training.
DOI: 10.57702/9ullrzqn
title: UK Biobank dataset

description: The UK Biobank dataset consists of SAX and LAX cine CMR images of normal subjects. Cardiac structures, LV cavity (LVC), LV myocardium (LVM), and right-ventricle cavity (RVC) were manually annotated on SAX images at the end-diastolic (ED) and end-systolic (ES) cardiac phases.
DOI: 10.57702/hx8sbu5f
title: Landscape

description: Generating coherent and natural movement is the key challenge in video generation. This research proposes to condense video generation into a problem of motion generation, to improve the expressiveness of motion and make video generation more manageable.
DOI: 10.57702/i6wj50s7
title: CATER-GENs

description: Generating coherent and natural movement is the key challenge in video generation. This research proposes to condense video generation into a problem of motion generation, to improve the expressiveness of motion and make video generation more manageable.
DOI: 10.57702/1nabp510
title: O2CTA: Introducing Annotations from OCT to CCTA

description: The dataset used in the paper is a collection of 55 paired OCT and CCTA scans, with annotations of lumen morphological characteristics and plaque composition.
DOI: 10.57702/vi8niuvc
title: Objects365

description: The Objects365 dataset is a large-scale object detection dataset containing 365,000 images with 365 categories.
DOI: 10.57702/kgzl4ekv
title: GOT-10K

description: The GOT-10K dataset is a large-scale object tracking dataset, containing 10K frames and 100 object categories.
DOI: 10.57702/w05ju9st
title: TrackFormer

description: The TrackFormer dataset is a large-scale object tracking dataset, containing 10K frames and 100 object categories.
DOI: 10.57702/p399uv8x
title: CelebA-HQ, FFHQ, and AFHQ datasets

description: The dataset used for the experiments in the paper, including CelebA-HQ, FFHQ, and AFHQ datasets.
DOI: 10.15468/dl.nnh38b
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013031-241126133413365/datasets/export for details.
DOI: 10.57702/e0gxjune
title: DeepFaceDrawing dataset

description: The dataset used for the sketch-to-image synthesis task in the paper.
DOI: 10.57702/i5q1abnl
title: KTH, Weizmann, and IXMAS datasets

description: The KTH, Weizmann, and IXMAS datasets are used for action recognition. The KTH dataset contains 600 videos that are made up of 25 subjects performing 6 actions in 4 scenarios. The Weizmann dataset contains 90 videos of 9 subjects performing 10 actions. The IXMAS action recognition dataset is made up of 10 subjects, 11 actions and 1148 sequences.
DOI: 10.57702/52l8ekc3
title: FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spooﬁng

description: Face Anti-spooﬁng gains increased attentions recently in both academic and industrial ﬁelds. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and IR) methods based CNN showed better perfor-mance than single modal classiﬁers.
DOI: 10.57702/o421dk12
title: Multi-Modal Face Dataset (MMFD)

description: Face Anti-spooﬁng gains increased attentions recently in both academic and industrial ﬁelds. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and IR) methods based CNN showed better perfor-mance than single modal classiﬁers.
DOI: 10.57702/iyiaephv
title: UBnormal

description: The UBnormal dataset is a recent and large dataset proposed for supervised anomaly detection. In contrast to other benchmarks, it is a synthetic dataset created with Cinema4D. Starting from 29 natural 2D images with different backgrounds, the authors obtain virtual 3D scenes. For each scene, they produced 19 clips, which encompass both normal and abnormal events.
DOI: 10.57702/43w2lvl0
title: Pokémon-LoRA model

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset to train and fine-tune the diffusion model.
DOI: 10.57702/4ewkqojz
title: Stable Diffusion v1.4

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset to train and fine-tune the diffusion model.
DOI: 10.57702/7r9ssnps
title: NASA-space model

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset to train and fine-tune the diffusion model.
DOI: 10.57702/9pxs69mz
title: Pokémon BLIP captions

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset to train and fine-tune the diffusion model.
DOI: 10.57702/c2zuyvnk
title: LAION-6+

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a dataset to train and fine-tune the diffusion model.
DOI: 10.57702/cuh7j83e
title: Adult dataset

description: A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category typically being lower than the actual target rate for members of that category in the training set.
DOI: 10.57702/tc79zoxz
title: Covertype dataset

description: The dataset used in the paper is the Covertype dataset, which is a binary classification problem with high-dimensional features.
DOI: 10.57702/6mrdnygc
title: HumanML3D

description: HumanML3D is a text-to-motion dataset built upon AMASS dataset and HumanAct12. It provides a wide range of motion-language pairs which cover ordinary activities, such as ‘jumping’, ‘walking’, ‘running’, etc.
DOI: 10.57702/at5wz1bt
title: HumanAct12

description: HumanAct12 dataset is a large-scale 3D human motion dataset with textual descriptions.
DOI: 10.57702/vonvsaeq
title: CUB200-2011

description: The dataset used in the paper is CUB200-2011, a fine-grained image classification dataset.
DOI: 10.57702/z9zm533k
title: IWSLT

description: IWSLT is a neural machine translation dataset.
DOI: 10.5281/zenodo.14261794
title: Live-Cell Imaging of MCF10A Cells Treated individually or in combination with EGF, OSM, or TGFB

description: MCF10A cell culture and experimental procedures were conducted based on established methodologies (10.1038/s42003-022-03975-9). For routine maintenance and passaging, cells were cultured in a growth medium composed of DMEM/F12 (Invitrogen, #11330-032) supplemented with 5% horse serum (Sigma, #H1138), 20 ng/ml EGF (R&D Systems, #236-EG), 0.5 µg/ml hydrocortisone (Sigma, #H-4001), 100 ng/ml cholera toxin (Sigma, #C8052), 10 µg/ml insulin (Sigma, #I9278), and 1% Penicillin/Streptomycin (Invitrogen, #15070-063). For experiments involving EGF perturbation, a growth factor-free medium was prepared using DMEM/F12, 5% horse serum, 0.5 µg/ml hydrocortisone, 100 ng/ml cholera toxin, and 1% Pen/Strep.

Cells were cultured to 50–80% confluency before being detached with 0.05% trypsin-EDTA (Thermo Fisher Scientific, #25300-054). Subsequently, 20,000 cells were seeded into 24-well plates (Thermo Fisher Scientific, #267062) coated with collagen-1 (Cultrex, #3442-050-01) in growth medium.After an 18-hour incubation in the new media, cells were treated with single ligand or combinations of ligands in fresh growth factor-free media: 10 ng/ml EGF (R&D Systems #236-EG), 10 ng/ml OSM (R&D Systems #8475-OM), and 10 ng/ml TGFβ (R&D Systems #240-B).

Phenotypic responses to individual and combination treatment with EGF, OSM, and TGFB treatment were assessed through live-cell imaging using the Incucyte S3 microscope (Essen BioScience, #4647), which captured images every 30 minutes over a 24-hour period. The dataset includes an Excel spreadsheet that documents the experimental conditions for each imaged well.

Companion RNAseq can be accessed from the Gene Expression Omnibus: GSE282654.
DOI: 10.5281/zenodo.14261795
title: Live-Cell Imaging of MCF10A Cells Treated individually or in combination with EGF, OSM, or TGFB

description: MCF10A cell culture and experimental procedures were conducted based on established methodologies (10.1038/s42003-022-03975-9). For routine maintenance and passaging, cells were cultured in a growth medium composed of DMEM/F12 (Invitrogen, #11330-032) supplemented with 5% horse serum (Sigma, #H1138), 20 ng/ml EGF (R&D Systems, #236-EG), 0.5 µg/ml hydrocortisone (Sigma, #H-4001), 100 ng/ml cholera toxin (Sigma, #C8052), 10 µg/ml insulin (Sigma, #I9278), and 1% Penicillin/Streptomycin (Invitrogen, #15070-063). For experiments involving EGF perturbation, a growth factor-free medium was prepared using DMEM/F12, 5% horse serum, 0.5 µg/ml hydrocortisone, 100 ng/ml cholera toxin, and 1% Pen/Strep.

Cells were cultured to 50–80% confluency before being detached with 0.05% trypsin-EDTA (Thermo Fisher Scientific, #25300-054). Subsequently, 20,000 cells were seeded into 24-well plates (Thermo Fisher Scientific, #267062) coated with collagen-1 (Cultrex, #3442-050-01) in growth medium.After an 18-hour incubation in the new media, cells were treated with single ligand or combinations of ligands in fresh growth factor-free media: 10 ng/ml EGF (R&D Systems #236-EG), 10 ng/ml OSM (R&D Systems #8475-OM), and 10 ng/ml TGFβ (R&D Systems #240-B).

Phenotypic responses to individual and combination treatment with EGF, OSM, and TGFB treatment were assessed through live-cell imaging using the Incucyte S3 microscope (Essen BioScience, #4647), which captured images every 30 minutes over a 24-hour period. The dataset includes an Excel spreadsheet that documents the experimental conditions for each imaged well.

Companion RNAseq can be accessed from the Gene Expression Omnibus: GSE282654.
DOI: 10.5281/zenodo.14261932
title: A Subset of HTP-MD dataset used for training different generative models
DOI: 10.5281/zenodo.14261933
title: A Subset of HTP-MD dataset used for training different generative models
DOI: 10.57702/0o3ro0b7
title: EfﬁcientNet-B0

description: EfﬁcientNet-B0 is a compact neural network architecture.
DOI: 10.57702/6uj2c5u4
title: Microsoft Indoor Location Competition 2.0

description: The Microsoft Indoor Location Competition 2.0 dataset is used in this paper. It contains five buildings as pretraining sites, and one building as the target site. The dataset is used to evaluate the performance of the proposed WiDAGCN model.
DOI: 10.34740/kaggle/dsv/10080232
title: ADHD200 Preprocessed Anatomical Dataset
DOI: 10.57702/men2veqn
title: Something-Something V1 & V2

description: The Something-Something V1 & V2 dataset is a large-scale video dataset created by crowdsourcing. It contains about 100k videos over 174 categories, and the number of videos for training and validation is 86k and 11k, respectively. The dataset is used for video recognition tasks.
DOI: 10.5281/zenodo.14261942
title: raw data - Causal relationship of immune cells and primary open-angle glaucoma: A Mendelian randomization study
DOI: 10.5281/zenodo.14261943
title: raw data - Causal relationship of immune cells and primary open-angle glaucoma: A Mendelian randomization study
DOI: 10.57702/y88acueb
title: Kinetics-400

description: Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming. Recent works directly leverage the motion vectors and residuals readily available in the compressed video to represent motion at no cost.
DOI: 10.57702/ednnvv3n
title: nuPlan dataset

description: The nuPlan dataset offers an extensive collection of data encompassing a wide range of traffic scenarios and driving conditions, providing researchers and developers with rich experimental resources.
DOI: 10.15468/dl.azdaaw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caranx muroadsi Temminck & Schlegel, 1844",
 "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/0013032-241126133413365/datasets/export for details.
DOI: 10.15468/dl.maxhh4
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia umbraculifolia Y.Wan & B.N.Chang)"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013034-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/om80luvq
title: MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering

description: A novel framework for one- and few-shot neural rendering that predicts a neural representation of a 3D scene using Orthogonal Moments.