cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14264271
title: Tiefenort Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.57702/sk9rg2xx
title: EEG dataset for anterior jaw lobectomy

description: EEG dataset for anterior jaw lobectomy
DOI: 10.57702/euq02474
title: Uniﬁed Quality Assessment of In-the-Wild Videos with Mixed Datasets Training

description: The dataset used in the paper for video quality assessment in the wild.
DOI: 10.57702/lozea2k2
title: KoNViD-1k

description: The KoNViD-1k dataset is a video quality assessment dataset, consisting of 1,200 video sequences with accompanying MOS values.
DOI: 10.57702/rynu655v
title: LIVE-VQC

description: The LIVE-VQC dataset is a large-scale video quality assessment dataset.
DOI: 10.57702/8efuhwty
title: ISMRM Tractography Challenge

description: The ISMRM tractography challenge dataset is used to evaluate the proposed method for learned optimal q-space sampling in diffusion MRI.
DOI: 10.15468/dl.zk8srp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia lacei (W.W.Sm.) Figlar",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013939-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/mc8puzlo
title: ABIDE I dataset

description: The ABIDE I dataset is a collection of resting-state functional magnetic resonance imaging (rs-fMRI) data from 505 individuals with Autism Spectrum Disorder (ASD) and 530 healthy controls (HC).
DOI: 10.57702/zy0o8jyo
title: WINE dataset

description: The dataset used in this paper is a collection of 13 chemical components' concentrations of 178 wines derived from 3 different cultivars grown in the same region in Italy, taken from the WINE dataset.
DOI: 10.57702/oejx17ud
title: DAVIS-2017

description: The DAVIS-2017 dataset is a benchmark for video object segmentation
DOI: 10.57702/sbd1dq8u
title: MTLP Dataset

description: The dataset is a collection of HTML content from phishing and benign websites, curated to reflect real-life phishing conditions.
DOI: 10.57702/xmk6rxqk
title: CatchPhish Dataset

description: The CatchPhish dataset is a widely used resource in existing literature for phishing detection.
DOI: 10.57702/co2m2479
title: AIGB: Generative Auto-bidding via Diffusion Modeling

description: The dataset used in the paper is a real-world dataset from the Alibaba advertising platform, containing bidding logs and real-time data.
DOI: 10.57702/n9m5kvdc
title: Job training dataset

description: Job training dataset
DOI: 10.57702/wlvoip6i
title: Co-purchase dataset from Amazon e-commerce domain

description: Co-purchase dataset from Amazon e-commerce domain
DOI: 10.57702/ushi7toe
title: weights2weights (w2w) Space

description: A dataset of over 60,000 customized diffusion model weights, each fine-tuned to insert a different person's visual identity.
DOI: 10.57702/8fiklulm
title: MOA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

description: A synthetic dataset of over 65,000 identities, each associated with multiple images of that person.
DOI: 10.57702/yg81rp1n
title: NTURGB+D

description: A large-scale human action recognition dataset collected in indoor environments.
DOI: 10.57702/3tt2d3qo
title: BABEL

description: The BABEL dataset is a multilingual speech recognition dataset containing over 1,000 hours of speech from 6 languages.
DOI: 10.57702/hy2057ra
title: Toyota SmartHome

description: A video dataset focusing on the real-world activities of humans.
DOI: 10.57702/psez6tyq
title: Deformable DETR dataset

description: The Deformable DETR dataset
DOI: 10.57702/tkn5hmfj
title: Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

description: The Sparse Diffusion Policy (SDP) framework, which integrates Mixture of Experts (MoE) layers into the diffusion policy.
DOI: 10.57702/6n9rzkta
title: English Penn-treebank

description: The English Penn-treebank (PTB) annotated with Stanford Dependencies
DOI: 10.57702/d8otbqao
title: Image pairs of competitors with training instances of train_relationship.csv

description: The dataset is used for kinship recognition task, where the goal is to determine if two individuals are biomedically related based solely on images of their faces.
DOI: 10.57702/ccq0wc64
title: PROSTATEx-2 Challenge

description: The dataset used for prostate cancer segmentation and detection using Mask-RCNN model.
DOI: 10.57702/l53t9nv2
title: Our Own Dataset

description: The dataset used for prostate cancer segmentation and detection using Mask-RCNN model.
DOI: 10.57702/g84lpgxw
title: X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance

description: Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV) and computer graphics (CG), aimed at transforming a bare mesh to fit a target text.
DOI: 10.57702/3sya7ys4
title: Thingi10k

description: The dataset contains 10,000 3D-printing models.
DOI: 10.57702/3782dgb9
title: PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

description: Spatiotemporal imputation aims to fill the missing values according to the observed values and the underlying spatiotemporal dependence of them.
DOI: 10.57702/qsz2lqul
title: IEEE 118-bus model

description: The IEEE 118-bus model, a power transmission network, is used to simulate the system. The model contains 118 load buses (substations), 54 generation buses (power generation plants), and 1 slack bus. The model has 186 edges, representing the 186 transmission lines connecting the load and generation buses.
DOI: 10.57702/yw3afjml
title: Chg2Cap: A Novel Attentive Network for Remote Sensing Change Captioning

description: The proposed Chg2Cap method is constructed by a CNN-based feature extractor that uses the pre-trained ResNet-101 as the backbone, an attentive encoder that consists of a hierarchical self-attention block and a ResBlock, and a caption decoder.
DOI: 10.57702/vdlrb3pc
title: LEVIR-CC: A Large-Scale Remote Sensing Image Change Captioning Dataset

description: The LEVIR-CC dataset is derived from a building change detection dataset comprising 637 very high-resolution (0.5 m/pixel) bitemporal images of size 1,024 × 1,024, acquired over 20 regions of Texas, USA.
DOI: 10.57702/ecpxvkst
title: Dubai-CC: A Dataset for Remote Sensing Change Captioning

description: The Dubai-CC dataset documents the urban development of Dubai, a city located in a vast desert area near the sea.
DOI: 10.57702/erojxahb
title: Fashion-MNIST, MNIST, SVHN, dSprites, and CIFAR-10

description: The dataset used in the paper is Fashion-MNIST, MNIST, SVHN, dSprites, and CIFAR-10.
DOI: 10.15468/dl.5zwtyz
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bellottia apoda Giglioli, 1883",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013940-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7cemk
title: Occurrence Download

description: A dataset containing 1166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blennius ocellaris Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1166 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013941-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/3449nq26
title: Inter-Instance Similarity Modeling for Contrastive Learning

description: The existing contrastive learning methods widely adopt one-hot instance discrimination as pretext task for self-supervised learning, which inevitably neglects rich inter-instance similarities among natural images, then leading to potential representation degeneration.
DOI: 10.57702/zc7uwohq
title: COIN dataset

description: The dataset used in the paper is a large-scale instructional video dataset, which includes 11,827 videos involving 180 different tasks, with an average of 3.6 actions per video.
DOI: 10.57702/plc75hg5
title: CrossTask dataset

description: The dataset used in the paper is a dataset of instructional videos, which includes 2,750 videos spanning 18 different tasks, with an average of 7.6 actions per video.
DOI: 10.15468/dl.8rjj62
title: Occurrence Download

description: A dataset containing 7358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boops boops (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7358 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013942-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/c4sh0ie2
title: YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach

description: A dataset of hexagonal contact hole DSA patterns with defects, labeled by multiple human labelers.
DOI: 10.57702/5qo8yfg9
title: GANs for Anomaly Detection

description: Anomaly detection using GANs is an emerging research field. Anomaly detection using GANs is an emerging research field. Detecting and correctly classifying something unseen as anomalous is a challenging problem that has been tackled in many different manners over the years. Generative Adversarial Networks (GANs) and the adversarial training process have been recently employed to face this task yielding remarkable results.
DOI: 10.57702/wd2ekdwq
title: OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection

description: Open set recognition framework for ASD-aided diagnosis
DOI: 10.57702/nkf93w91
title: The Neuro Bureau Preprocessing Initiative

description: Preprocessed neuroimaging data
DOI: 10.57702/sd8hhau0
title: THE ADHD-200 SAMPLE

description: Hybrid fMRI datasets
DOI: 10.57702/07ykrq1m
title: Breakfast Actions

description: The Breakfast Actions dataset contains 70 hours of cooking activities of varying complexity. It contains 10 different cooking tasks (with about 170 videos per task), which can be further split into 48 sub-activities. The length of each video is highly dependent on the type of task, ranging from 30 seconds to a few minutes.
DOI: 10.57702/2gu6da28
title: INRIA YouTube Instructional Videos

description: The INRIA YouTube Instructional Videos dataset contains five tasks of different instructional domains: “making coffee”, “changing a car tire”, “CPR”, “jumping a car”, and “potting a plant” (with about 30 videos per task), which can be divided into 47 sub-activities.
DOI: 10.57702/yicdpjer
title: Yahoo! Front Page Today Module dataset

description: The Yahoo! Front Page Today Module dataset contains user interaction records with news articles.
DOI: 10.57702/zqxtilws
title: COSMOS 553K

description: The COSMOS 553K dataset is a large-scale medical image segmentation dataset.
DOI: 10.57702/5o0eqfc5
title: Valley: A Video Assistant with Large Language Model Enhanced Ability

description: A large multi-modal instruction-following dataset for video understanding, comprising 37k conversation pairs, 26k complex reasoning QA pairs and 10k detail description instruction pairs.
DOI: 10.57702/pegvnymv
title: VideoChat: Chat-centric video understanding

description: A video-based instruction dataset for video understanding, comprising 100k videos with detailed captions.
DOI: 10.57702/ztz8frfm
title: Video-LLaMA: An instruction-tuned audio-visual language model for video understanding

description: A video-LLaMA model for video understanding, comprising 100k videos with detailed captions.
DOI: 10.57702/q0hvw408
title: Proximal Policy Optimization (PPO) dataset

description: The dataset used in the paper is the Proximal Policy Optimization (PPO) dataset, which consists of 10 different Atari environments.
DOI: 10.57702/cdts2ubc
title: CERMEP-IDB-MRXFDG dataset

description: The CERMEP-IDB-MRXFDG dataset is a public repository of human brain MR and CT images.
DOI: 10.5281/zenodo.14264278
title: Torgau Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s or letters 1924/1948, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen oder Korrespondenz  1924/1948, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14264279
title: Torgau Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s or letters 1924/1948, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen oder Korrespondenz  1924/1948, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.57702/lanusacy
title: PETA (Pose Estimation and Tracking for ASIST)

description: A dataset for pose estimation and tracking for ASIST system
DOI: 10.57702/kjo7qbsj
title: Tweets – PAP News Dataset

description: New annotated datasets linking tweets and articles, including Tweets – PAP News Dataset, Tweets – BBC News Dataset, Cascades – PAP News Dataset, and Cascades – BBC News Dataset.
DOI: 10.57702/9ilo2toh
title: Tweets – BBC News Dataset

description: New annotated datasets linking tweets and articles, including Tweets – PAP News Dataset, Tweets – BBC News Dataset, Cascades – PAP News Dataset, and Cascades – BBC News Dataset.
DOI: 10.57702/ww6e0zey
title: Cascades – PAP News Dataset

description: Cascades datasets constructed in a recursive manner, including Cascades – PAP News Dataset and Cascades – BBC News Dataset.
DOI: 10.57702/lasrfh4c
title: Cascades – BBC News Dataset

description: Cascades datasets constructed in a recursive manner, including Cascades – PAP News Dataset and Cascades – BBC News Dataset.
DOI: 10.57702/gv1gvho5
title: New Normal: Cooperative Paradigm for Covid-19

description: The proposed scheme uses IoT based health monitoring and CNN based object detection methods to detect social distancing violations and track exposed or infected people.
DOI: 10.57702/xdc4ly7u
title: HaCaT

description: The dataset used for unsupervised cell nuclei segmentation in this paper.
DOI: 10.57702/zf97ctta
title: BBBC024

description: The dataset used for unsupervised cell nuclei segmentation in this paper.
DOI: 10.57702/9xubfb9v
title: Scaffold-A549

description: The dataset used for unsupervised cell nuclei segmentation in this paper.
DOI: 10.57702/e4p3twlu
title: DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

description: This paper proposes a concise Dynamic Point Text DEtection TRansformer network, termed DPText-DETR, for scene text detection. The dataset used in this paper is Total-Text, CTW1500, and ICDAR19 ArT.
DOI: 10.15468/dl.5xcwb8
title: Occurrence Download

description: A dataset containing 3163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptotaenia japonica Hassk.",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 3163 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013943-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/cdumdxpo
title: Stereo Blur Dataset

description: A dataset of dynamic scenes with motion blur, curated for the task of dynamic neural radiance field synthesis.
DOI: 10.57702/hllqfu7x
title: Deep marching tetrahedra: a hybrid representation for high-resolution 3D shape synthesis

description: Deep marching tetrahedra: a hybrid representation for high-resolution 3D shape synthesis
DOI: 10.57702/673y7bek
title: LC25000 Lung and Colon Histopathological Image Dataset

description: The dataset is used for classification of histopathology images of lung cancer using Convolutional Neural Network (CNN).
DOI: 10.57702/ugdxvqw3
title: Lifespan Human Connectome Project Aging (HCP-A) dataset

description: The Lifespan Human Connectome Project Aging (HCP-A) dataset is a comprehensive collection of data from 717 subjects, encompassing both fMRI and DWI scans.
DOI: 10.57702/hut6h4u3
title: Open Access Series of Imaging Studies (OASIS) dataset

description: The Open Access Series of Imaging Studies (OASIS) dataset presents a substantial collection of data from 924 subjects, comprising 3,322 fMRI sessions.
DOI: 10.57702/zvt4967e
title: scRNA-seq Diffusion Transformer (scRDiT)

description: Single-cell RNA sequencing (scRNA-seq) data generated using scRNA-seq Diffusion Transformer (scRDiT)
DOI: 10.57702/0wpldwvq
title: C4

description: The dataset used for pre-training language models, containing a large collection of text documents.
DOI: 10.57702/6cp3igls
title: DiscoEval

description: The DiscoEval dataset used for evaluating the performance of the DEPTH model on discourse-related tasks.
DOI: 10.57702/9dye9pwh
title: Natural Instructions

description: The Natural Instructions (NI) dataset used for evaluating the performance of the DEPTH model on natural language understanding tasks.
DOI: 10.57702/o182wa0c
title: MEWS: Real-time Social Media Manipulation Detection and Analysis

description: MEWS ingests enormous amounts of images and video from various social media platforms using keyword targets provided by partner media organizations with context-specific knowledge domains from across the world.
DOI: 10.57702/a8uls0vn
title: Training Convolutional Networks with Web Images

description: This dataset is used to train a Convolutional Neural Network (CNN) to classify objects from web images. The dataset is created by downloading images from the web using a query structure and a download process.
DOI: 10.57702/ioj4klbg
title: ImageNet Large Scale Visual Recognition Challenge 2012

description: This dataset is used to evaluate the performance of a Convolutional Neural Network (CNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2012).
DOI: 10.57702/wqey4qql
title: LINEMOD dataset

description: The LM consists of 13 objects with approximately 1.2K images per object. We follow the settings described in [2], which uses 15% of the data for training and the rest for testing.
DOI: 10.57702/z0zgxg43
title: LINEMOD-OCCLUSION dataset

description: The LMO dataset is a subset of the LM dataset consisting of eight objects in more cluttered scenes.
DOI: 10.57702/e3gguhdj
title: YCB-Video dataset

description: The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments.
DOI: 10.12755/nrct.doc.2024.20
title: ข้อตกลงการให้บริการ
DOI: 10.57702/no4dyolr
title: MS MARCO, NQ, TREC DL, TREC-COVID

description: Four datasets are used to evaluate the retrieval effectiveness of different dimension reduction models, including MS MARCO (Passage Ranking), NQ, TREC DL, and TREC-COVID.
DOI: 10.57702/o8piwhxv
title: 360Roam

description: The dataset used in the paper for omnidirectional Gaussian Splatting for fast radiance field reconstruction using omnidirectional images.
DOI: 10.5281/zenodo.14264284
title: Ulm Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14264285
title: Ulm Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical