cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/nm9v6644
title: Pick-a-Pic dataset

description: The dataset used in the paper is the Pick-a-Pic dataset, which consists of 87,687 pairs of text prompts and images.
DOI: 10.57702/9aorxykh
title: Edges→Handbags

description: Edges→Handbags dataset is a dataset of images of hands and bags.
DOI: 10.57702/beptk4dv
title: DIODE-Outdoor

description: DIODE-Outdoor dataset is a dataset of images of outdoor scenes.
DOI: 10.57702/pvzuioff
title: CLEF 2003

description: The dataset used for the experiments in the paper.
DOI: 10.57702/ulap2qx3
title: Swiss Roll dataset

description: The dataset used in the paper is a 3D non-linear Swiss Roll dataset which comprises 1600 datapoints grouped in 4 classes.
DOI: 10.57702/77x2er5o
title: Wind Turbine Blade Edge Frequency and Ambient Temperature Dataset

description: The dataset used in this paper is a collection of edge frequency data from wind turbine blades, along with ambient temperature data.
DOI: 10.57702/v6jtmjmg
title: StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure

description: This work presents StrAE: a Structured Autoencoder framework that through strict adherence to explicit structure, and use of a novel contrastive objective over tree-structured representations, enables effective learning of multi-level representations.
DOI: 10.57702/ep6960zn
title: arXiv dataset

description: The dataset used in this paper is a collection of arXiv papers in English, filtered to include only those written in English, with LATEX source available, compilable on a modern LATEX distribution, and containing at least a theorem or a proof environment.
DOI: 10.57702/gtz0hq4p
title: NorthEuraLex

description: NorthEuraLex is a lexical database of Northern Eurasia, and PanLex is a panlingual lexical database.
DOI: 10.57702/hp7fwnu5
title: ISLES 2017 dataset

description: ISLES 2017 dataset is used for medical image segmentation
DOI: 10.57702/760z9ant
title: Daily Stocks Dataset

description: The dataset contains daily historical Google stock data from 2004 to 2019 with open, high, low, close, adjusted close, and volume features.
DOI: 10.57702/to9bwnva
title: MoralChoice

description: The MoralChoice survey dataset contains 1767 moral decision-making scenarios. Every moral scenario consists of a triple (context, action 1, action 2) and a set of auxiliary labels.
DOI: 10.57702/o9xmdmsf
title: Bold5000

description: Bold5000, a public fMRI dataset while viewing 5000 visual images
DOI: 10.57702/uxdmlaj8
title: Natural Scenes Dataset (NSD)

description: The Natural Scenes Dataset (NSD) is a large-scale fMRI dataset used for visual decoding. It features in-depth recordings of brain activities from 8 participants who passively viewed images for up to 40 hours in an MRI machine.
DOI: 10.57702/dp618eja
title: AT-TPC dataset

description: The dataset used in this paper is a collection of 2D projections of particle tracks from a resonant proton scattering experiment on 46Ar.
DOI: 10.15468/dl.wprs4s
title: Occurrence Download

description: A dataset containing 48196 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 (Spartium junceum L.)"
 ]
}

 The dataset includes 48196 records from 775 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014183-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/2r5wmpp8
title: ImageInversion dataset

description: The ImageInversion dataset is used to evaluate the reconstruction quality of different inversion methods.
DOI: 10.57702/i6xqwwu8
title: CLIP-GLaSS

description: The dataset used for the text-to-image task consists of 20 context tokens, to which three fixed tokens have been concatenated, representing the static context "the picture of".
DOI: 10.15468/dl.bssvsf
title: Occurrence Download

description: A dataset containing 977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidotrigla cavillone (Lacepède, 1801)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 977 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014185-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7yhine9c
title: CG-HOI

description: CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
DOI: 10.15468/dl.sf3ztu
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidotrigla dieuzeidei Blanc & Hureau, 1973",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 298 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014186-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xnr3rbde
title: CHAIRS

description: Full-body articulated human-object interaction
DOI: 10.15468/dl.5xzcru
title: Occurrence Download

description: A dataset containing 944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidorhombus whiffiagonis (Walbaum, 1792)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 944 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014184-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/09p3m01s
title: Human Psychophysics Dataset

description: The dataset consists of 1500 observations of a single participant making detection judgments. Stimulus features were contrast, pedestal (background luminance), temporal frequency, spatial frequency, size, and eccentricity.
DOI: 10.57702/59gm5s3k
title: Recommender Systems Dataset

description: The dataset consists of data from seven participants whose response times ranged from 4 to 429 seconds. The dataset includes information about the participant, the response time, and the outcome of the experiment.
DOI: 10.57702/z8yj6oxx
title: Robot Gait Preference Learning Dataset

description: The dataset consists of 50 simulation videos of a simulated Spot quadruped robot. The videos were recorded for a study on gait preference learning.
DOI: 10.57702/awmki9xg
title: Coyo-700m

description: Coyo-700m is a large-scale image-text dataset that provides a large amount of high-quality image-text pairs.
DOI: 10.57702/7ye65597
title: TruthX: Alleviating Hallucinations by Editing Large Language Models

description: TruthX: Alleviating Hallucinations by Editing Large Language Models
DOI: 10.57702/akth3oof
title: Boomerang: Local sampling on image manifolds using diffusion models

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for data anonymization, data augmentation, and image perceptual quality enhancement.
DOI: 10.57702/lb5t77jy
title: Tao: A large-scale benchmark for tracking any object

description: Tao: A large-scale benchmark for tracking any object
DOI: 10.57702/9jduaieq
title: Common Objects in 3D (CO3Dv2)

description: Common Objects in 3D (CO3Dv2)
DOI: 10.57702/wfpfumwa
title: Linley et al. (2014) - Microsoft COCO

description: Linley et al. (2014) - Microsoft COCO
DOI: 10.57702/gnonwv5s
title: Zhou et al. (2023) - Sparsefusion

description: Zhou et al. (2023) - Sparsefusion
DOI: 10.57702/7r7312uz
title: Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection

description: A critical aspect of Graph Neural Networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations of abnormal nodes are prone to be averaged by normal neighbors, making the learned anomaly representations less distinguishable.
DOI: 10.57702/u9ldsnk8
title: RandWire

description: The dataset used in the paper is RandWire, a randomly wired neural network search space.
DOI: 10.57702/zq0yjq7w
title: ENAS Macro

description: The dataset used in the paper is ENAS Macro, a search space for neural architecture search.
DOI: 10.57702/vrhripky
title: NAS-Bench-101

description: The dataset used in the paper is NAS-Bench-101, a benchmark for neural architecture search.
DOI: 10.57702/hphrsksu
title: Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization

description: Feature tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
DOI: 10.57702/6dbjtbbx
title: Tiny Anomalies

description: A novel benchmark for evaluating methods on the original, high-resolution image and ground-truth masks, focusing on segmentation performance as a function of the size of anomalies.
DOI: 10.57702/hradzobq
title: Mvtec AD

description: A comprehensive real-world dataset for unsupervised anomaly detection.
DOI: 10.57702/qf51obhc
title: Apple-to-Orange, Horse-to-Zebra, and Yosemite Summer-to-Winter datasets

description: The dataset used for unpaired image-to-image translation tasks
DOI: 10.57702/jffbfebe
title: RCV1 Dataset

description: The RCV1 dataset is a corpus of Reuters news articles.
DOI: 10.57702/95gc6k71
title: ST dataset

description: The ST dataset contains 31,893 Wafer Defect Maps acquired at the STMicroelectronics plant in Agrate Brianza, Italy.
DOI: 10.57702/mdzvjpuz
title: Extended VGG-SS/SoundNet-Flickr

description: The Extended VGG-SS/SoundNet-Flickr dataset is an extension of the VGG-SS dataset, containing additional samples and non-audible frames.
DOI: 10.57702/lz0hs6nt
title: Feature Alignment and Uniformity for Test Time Adaptation

description: Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples.
DOI: 10.57702/jlmht2m1
title: Deep Hashing Network for Unsupervised Domain Adaptation

description: The dataset is used for deep hashing network for unsupervised domain adaptation.
DOI: 10.57702/avka7ueg
title: Block CA

description: The dataset used in this paper is a block CA, which is a time-reversible and expressed as a matrix multiplication that changes with time.
DOI: 10.57702/ydyefe8y
title: Random CA dataset

description: The dataset used in this paper is a random input and output generated according to the block CA rule.
DOI: 10.57702/k7bp0scm
title: WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation

description: Weakly-supervised semantic segmentation using plain Vision Transformer (ViT) for Weakly-supervised Semantic Segmentation (WSSS).
DOI: 10.57702/r7l2lr21
title: COCO 2014

description: The COCO 2014 validation set is used for evaluating the performance of the proposed method.
DOI: 10.57702/sf7o82ar
title: ASSISTments2009

description: The dataset contains questions and responses from an online tutoring platform.
DOI: 10.57702/gqob4pke
title: ASSISTments2015

description: The dataset contains questions and responses from an online tutoring platform.
DOI: 10.57702/9gpkdbcf
title: ASSISTments2017

description: The dataset contains questions and responses from an online tutoring platform.
DOI: 10.57702/m2ddbswk
title: BabyAI-PickUpDist-v0

description: The dataset used in the paper is the BabyAI environment 'BabyAI-PickUpDist-v0' with a one-pickup-per-episode wrapper.
DOI: 10.57702/ry7w6wg8
title: SLIVER07

description: Medical image segmentation dataset
DOI: 10.57702/02r28naq
title: MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense

description: MimicGAN is a fully unsupervised technique that can recover images from unknown corruptions by making successive estimates on the corruption as well as the solution.
DOI: 10.57702/gdufppvn
title: A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

description: A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.
DOI: 10.57702/dlv9x744
title: Common objects in context

description: Common objects in context.
DOI: 10.57702/gfov4zic
title: Switchboard Corpus

description: The Switchboard corpus is a dataset of speech recordings from a switchboard, which is a device that allows multiple people to speak at the same time.
DOI: 10.57702/kui0rcj4
title: Yelp Dataset

description: The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for each of the 61K businesses were gathered over time via a social network of 366K people for a total of 2.9M social edges.
DOI: 10.17632/znxyv9rtwp.1
title: YOLO-SAM Fusion Model for Image-Based Agricultural Land Use Detection

description: This study aims to develop an innovative fusion model integrating You Only Look Once (YOLO) and Segmentation Anything Model (SAM) to improve the accuracy and efficiency of agricultural field detection and delineation from high-resolution drone imagery.
DOI: 10.5281/zenodo.12071006
title: Rewired SSCx network model with 1st-order simplified connectome

description: This dataset is an accompanying dataset to the article with the title "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations" (DOI: 10.1162/netn_a_00429). The dataset is part of the main accompanying dataset (DOI: 10.5281/zenodo.11402579) and contains the rewired SSCx network model with simplified E-to-E connectivity within the central column based on a 1st-order simplified model of connectivity which had been fit against the original connectome beforehand.

The corresponding repository with code, configuration files, and detailed instructions for reproducing the results in this dataset as well as generating the results figures in the accompanying article is available here: https://github.com/BlueBrain/sscx-connectome-manipulations

The underlying Connectome-Manipulator software is available here: https://github.com/BlueBrain/connectome-manipulator

Additional requirement: Original SSCx network model (DOI: 10.5281/zenodo.8026353)

ℹ️ Disclaimer: Some results may have been produced with an older version of Connectome-Manipulator, so slight differences might be possible when re-running with the latest version.



Funding

Funding provided by the Swiss government’s ETH Board to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL).
description: SSCx-simplified-connectome-order1.xz



SSCx-HexO1-Release__ConnRewireOrder1Hex0EE ... Rewired SSCx network model with 1st-order simplified connectome in SONATA format

SSCx-HexO1-Release__ConnRewireOrder1Hex0EE__calib-<N>__/logs/ ... Log files of Nth estimation run for matching overall numbers of connections with the original connectome
description: Uncompress: tar -xf <filename>.xz

Download and uncompress the original network model (DOI: 10.5281/zenodo.8026353)

EITHER: Replace edges.h5 from the original SSCx network model by extracted edges.h5 file

OR: Adjust the respective path references in circuit_config<_tc>.json from the extracted circuit pointing to the folder location of the original SSCx network model
DOI: 10.5281/zenodo.12071008
title: Rewired SSCx network model with 1st-order simplified connectome

description: This dataset is an accompanying dataset to the article with the title "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations" (DOI: 10.1162/netn_a_00429). The dataset is part of the main accompanying dataset (DOI: 10.5281/zenodo.11402579) and contains the rewired SSCx network model with simplified E-to-E connectivity within the central column based on a 1st-order simplified model of connectivity which had been fit against the original connectome beforehand.

The corresponding repository with code, configuration files, and detailed instructions for reproducing the results in this dataset as well as generating the results figures in the accompanying article is available here: https://github.com/BlueBrain/sscx-connectome-manipulations

The underlying Connectome-Manipulator software is available here: https://github.com/BlueBrain/connectome-manipulator

Additional requirement: Original SSCx network model (DOI: 10.5281/zenodo.8026353)

ℹ️ Disclaimer: Some results may have been produced with an older version of Connectome-Manipulator, so slight differences might be possible when re-running with the latest version.



Funding

Funding provided by the Swiss government’s ETH Board to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL).
description: SSCx-simplified-connectome-order1.xz



SSCx-HexO1-Release__ConnRewireOrder1Hex0EE ... Rewired SSCx network model with 1st-order simplified connectome in SONATA format

SSCx-HexO1-Release__ConnRewireOrder1Hex0EE__calib-<N>__/logs/ ... Log files of Nth estimation run for matching overall numbers of connections with the original connectome
description: Uncompress: tar -xf <filename>.xz

Download and uncompress the original network model (DOI: 10.5281/zenodo.8026353)

EITHER: Replace edges.h5 from the original SSCx network model by extracted edges.h5 file

OR: Adjust the respective path references in circuit_config<_tc>.json from the extracted circuit pointing to the folder location of the original SSCx network model
DOI: 10.17632/hndps6gngr.1
title: Fusobacterium nucleatum bacteriophage TCUFN3 in combating CRC

description: Reporting summary
DOI: 10.57702/gwrtybi2
title: ShapeNet part dataset

description: The ShapeNet part dataset contains 16,881 shapes from 16 classes and 50 parts in total.
DOI: 10.17632/tgvnx226zt.1
title: Lithospheric strength and tectonic dynamics in the vicinity of the Gyaring Co Fault: Insight from the 3-D electrical structure

description: It is the data!
DOI: 10.57702/cw2ndvgf
title: NASA’s Earth Science Data Systems (ESDS) Program

description: NASA’s Earth Science Data Systems (ESDS) Program
DOI: 10.57702/4itmdsr1
title: Regional Ocean Modeling System (ROMS)

description: Regional Ocean Modeling System (ROMS)
DOI: 10.17639/nott.7492
title: Vocational rehabilitation for people with multiple sclerosis in the national health service of the United Kingdom: A realist evaluation

description: The realist evaluation aimed to understand the mechanisms and context for implementing a VR intervention for people with MS in the NHS and develop an explanatory programme theory. We conducted a review of evidence followed by semi-structured interviews. A realist review about VR for people with MS in the NHS was conducted on six electronic databases (PubMed, MEDLINE, PsychINFO, Web of Science, CINAHL, and EMBASE) with secondary purposive searches. Included studies were assessed for relevance and rigour. Semi-structured interviews with people with MS, employers, and healthcare professionals, were conducted remotely. Data were extracted, analysed, and synthesised to refine the programme theory and produce a logic model.
DOI: 10.17639/nott.7262
title: Factors influencing employers’ support for employees with acquired brain injuries or mental illness to return to- and stay in work: a qualitative systematic review

description: People with acquired brain injuries (ABIs) often experience residual disabilities and mental illnesses that restrict work participation. Employers are key in enabling successful return-to-work and work retention. Previous reviews focused on experiences of ABI survivors or people with mental illness during the return-to-work process and beyond. This review aimed to explore employers’ perspectives of factors influencing their support for people with ABIs or mental illness to return to- and stay in work.
DOI: 10.17639/nott.7378
title: Employers’ needs when supporting stroke survivors to return to work: A mixed-methods study

description: The aim of this study was to explore employers’ needs for supporting stroke survivors to return to- and stay in work post-stroke. Study objectives were as follows: 1) To identify and explore factors influencing employers’ support for stroke survivors returning to work; 2) Describe the frequency and distribution of employer-related barriers, and investigate their relationships with employers’ socio-demographic characteristics; and 3) Integrate findings across data sources to increase validity and understanding of employers’ needs.
DOI: 10.57702/wpcooutu
title: RGB-T object tracking: benchmark and baseline

description: RGB-T object tracking: benchmark and baseline
DOI: 10.57702/rj70wmfu
title: Diff-CAPTCHA

description: Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model
DOI: 10.5281/zenodo.14265069
title: 20241127_Spotteractivitytest_30121

description: 20241127_Spotteractivitytest_30121 96x2wellplate
DOI: 10.5281/zenodo.14265070
title: 20241127_Spotteractivitytest_30121

description: 20241127_Spotteractivitytest_30121 96x2wellplate
DOI: 10.57702/6ngeg6or
title: SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network

description: The proposed model is designed to learn recognizing actions performed by a subject in the form of mesh video.
DOI: 10.57702/8k3bnq0k
title: BMLrub

description: BMLrub is a dataset of human motion and video.
DOI: 10.57702/vvm2droj
title: MoVi

description: MoVi is a large multi-purpose human motion and video dataset.
DOI: 10.57702/jr6a0n9c
title: COVID-19 x-ray image dataset

description: COVID-19 x-ray image dataset including 392 COVID-19 postero-anterior chest x-ray images annotated with severity level.
DOI: 10.57702/jd8hw0cw
title: FastSpeech: Fast, Robust and Controllable Text to Speech

description: Neural network based end-to-end text to speech (TTS) has signiﬁcantly improved the quality of synthesized speech. Prominent methods (e.g., Tacotron 2) usually ﬁrst generate mel-spectrogram from text, and then synthesize speech from the mel-spectrogram using vocoder such as WaveNet. Compared with traditional concatenative and statistical parametric approaches, neural network based end-to-end models suffer from slow inference speed, and the synthesized speech is usually not robust (i.e., some words are skipped or repeated) and lack of con-trollability (voice speed or prosody control). In this work, we propose a novel feed-forward network based on Transformer to generate mel-spectrogram in parallel for TTS.
DOI: 10.57702/rzwqen8k
title: Local Dataset

description: The local dataset consists of 4320 characters and has upper and lowercase English alphabets, along with numerical digits.
DOI: 10.57702/q5t66ibx
title: AttGAN

description: AttGAN: Facial Attribute Editing by Only Changing What You Want
DOI: 10.57702/aars9ijh
title: Glide

description: Glide: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models