cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0073285.10fu
title: SH0073285.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive5108.20251217.10
title: Salmonella enterica subsp. enterica (ex Kauffmann and Edwards 1952) Le Minor and Popoff 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5109.20230509.8.1
title: Salmonella enterica subsp. enterica (ex Kauffmann and Edwards 1952) Le Minor and Popoff 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073286.10fu
title: SH0073286.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.17289050
title: Dataset
title: Supplementary data
DOI: 10.5281/zenodo.17289049
title: Dataset
title: Supplementary data
DOI: 10.15468/dl.c2hn72
title: Occurrence Download

description: A dataset containing 5469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Year is 2010",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 5469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058920-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ch2kap
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gaviiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 0,90 0,90 30,60 30,60 0))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058921-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzp8zx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Baphia nitida",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058922-250920141307145/datasets/export for details.
DOI: 10.57702/f2z4ggjz
title: SARFish dataset and challenge

description: The SARFish dataset and challenge is designed to further enhance and benchmark the performance of SAR-based maritime surveillance systems.
DOI: 10.57702/y08kxy1u
title: Relative Depth in Stereo (RDIS)

description: Relative Depth in Stereo (RDIS) dataset is a dataset containing images labelled with dense relative depths. The ground-truth relative depths are obtained through existing stereo algorithm as well as manual post-processing.
DOI: 10.57702/dukoensz
title: Depth in the Wild (DIW)

description: DIW dataset is a dataset containing images labelled with relative depths. It is used for depth estimation and object detection tasks.
DOI: 10.57702/zfq6kj1s
title: GLUE benchmark

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used three downstream tasks from the GLUE benchmark: Stanford Sentiment Treebank (SST-2), Natural Language Inference (MNLI), and Paraphrase Identification (QQP).
DOI: 10.57702/8q5u7cmc
title: GreenStableYolo

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Stable Diffusion and Yolo to optimize the parameters and prompts for text-to-image generation.
DOI: 10.57702/odq4wna1
title: Onemax, concatenated deceptive traps, NK landscapes, and the HIFF problem

description: Onemax, concatenated deceptive traps, NK landscapes, and the HIFF problem
DOI: 10.57702/51fmg0d4
title: Regression Discontinuity Design Dataset

description: The dataset used in the paper is a regression discontinuity design dataset.
DOI: 10.57702/5g5xxmqc
title: Total Random Simulation Dataset

description: The dataset used in the paper is a total random simulation dataset.
DOI: 10.57702/0ejfdmso
title: Latent Variable Confounding Simulation Dataset

description: The dataset used in the paper is a latent variable confounding simulation dataset.
DOI: 10.57702/ce6gj678
title: LUNA dataset for lung segmentation

description: Lung Segmentation dataset for medical image segmentation.
DOI: 10.57702/1fzeanp3
title: DSB dataset for nuclei segmentation

description: Nuclei Segmentation dataset for medical image segmentation.
DOI: 10.57702/o4kz8ued
title: CartPole and Blackjack environments

description: The dataset used in this paper is the CartPole and Blackjack environments from OpenAI Gym.
DOI: 10.57702/tc334wt4
title: IWSLT'14 German-English Translation Dataset

description: The dataset contains 160K sentence pairs for German-English translation.
DOI: 10.57702/bprj7ycm
title: Billion Word Benchmark Dataset

description: The dataset contains 768M tokens for language modeling.
DOI: 10.15468/dl.6jg7uv
title: Occurrence Download

description: A dataset containing 2433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippocampus guttulatus Cuvier, 1829",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2433 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014166-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9exenmly
title: KITTI 2015 dataset

description: KITTI 2015 dataset contains videos in 200 street scenes captured by RGB cameras, with sparse depth ground truths captured by Velodyne laser scanner.
DOI: 10.57702/yspl7vuu
title: DeepMind Control Suite and Real-World RL Experiments

description: The dataset used in the paper is the DeepMind Control Suite and Real-World RL Experiments. It contains a set of continuous control tasks based on MuJoCo.
DOI: 10.57702/63wjowen
title: Real-World RL Challenge

description: The dataset used in the paper is the Real-World RL Challenge dataset. It contains a set of continuous control tasks.
DOI: 10.57702/64os2kgo
title: ImageNet22K

description: The ImageNet22K dataset contains 14 million images representing 21,841 categories organized in a hierarchy derived from WordNet and including top level concepts such as sport, garment, fungus, plant, animal, furniture, food, person, nature, music, fruit, fabric, tool etc.
DOI: 10.57702/0vzmigzx
title: CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation

description: Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very important to achieve a good trade-off among performance, model size and inference speed.
DOI: 10.57702/2f3p9bu0
title: Hitting Probability Metric

description: The dataset is a collection of Markov chains and directed graphs, and the authors introduce a new metric on the state space of any ergodic, finite-state, time-homogeneous Markov chain and, in particular, on any Markov chain derived from a directed graph.
DOI: 10.15468/dl.2vemxp
title: Occurrence Download

description: A dataset containing 3793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippocampus hippocampus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3793 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014167-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/o4jx529w
title: VoxelHop: Successive Subspace Learning for ALS Disease Classiﬁcation Using Structural MRI

description: A successive subspace learning model, termed VoxelHop, for accurate classiﬁcation of Amyotrophic Lateral Sclerosis (ALS) using T2-weighted structural MRI data.
DOI: 10.57702/6oubxcti
title: Residual and plain convolutional neural networks for 3d brain mri classiﬁcation

description: Residual and plain convolutional neural networks for 3d brain mri classiﬁcation
DOI: 10.57702/wdeavoc9
title: Repair dataset

description: The dataset is used for repairing sequential circuits against formal specifications given in linear-time temporal logic (LTL). The dataset consists of three entries: a formal specification in LTL, a defective circuit, and the corrected target circuit.
DOI: 10.15468/dl.smxj8c
title: Occurrence Download

description: A dataset containing 21880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helicolenus dactylopterus (Delaroche, 1809)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21880 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014165-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/arr5v9yv
title: Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss

description: Supervised-contrastive loss (SCL) is an alternative to cross-entropy (CE) for classification tasks that makes use of similarities in the embedding space to allow for richer representations.
DOI: 10.57702/ksf6a4gf
title: NTU-RGB+D 60

description: Skeleton-based action recognition has attracted considerable attention due to its compact representation of the human body’s skeletal structure. Many recent methods have achieved remarkable performance using graph convoluitional networks (GCNs) and convolutional neural networks (CNNs), which extract spatial and temporal features, respectively. Although spatial and temporal dependencies in the human skeleton have been explored separately, spatio-temporal dependency is rarely considered.
DOI: 10.57702/8zzm5pn6
title: SqueezeNet v1.1 and ZynqNet

description: The dataset used in this paper is the SqueezeNet v1.1 and ZynqNet CNNs, which are characterized by small model size and limited computational requirements.
DOI: 10.57702/c1ep3wbd
title: Transform Quantization for CNN Compression

description: The dataset used in this paper is a collection of convolutional neural network (CNN) weights, which are compressed using transform quantization.
DOI: 10.57702/hb01lbto
title: Channelized Axial Attention

description: Semantic segmentation is a fundamental task in many computer vision applications, which assigns a class label to each pixel in the image.
DOI: 10.15468/dl.d7yc8s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is DEU.9_1",
 "TaxonKey is Asclepias syriaca L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014168-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/hsw97pbs
title: Sungka

description: The Sungka dataset is a two-player turn-based board game where each player takes turns moving stones to collect as many stones as possible.
DOI: 10.57702/1n7cax9n
title: DeepSignDB

description: The DeepSignDB database comprises 1,526 total subjects divided into development and evaluation datasets.
DOI: 10.57702/qunh8rqf
title: G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

description: Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance when all labels are available during training. But in real-life, models are often applied on data with new classes, which can lead to massive misclassification and thus significantly degrade performance.
DOI: 10.57702/uphhqvad
title: ARS: Augmented Reality Semi-automatic-labeling

description: Two novel datasets are created using the ARS pipeline, one on electromechanical components (industrial scenario) and one on fruits (daily-living scenario).
DOI: 10.57702/39vqsbi6
title: Combined Depth Space based Architecture Search For Person Re-identiﬁcation

description: Person re-identiﬁcation (ReID) aims to retrieve images of a speciﬁc person from different surveillance cameras.
DOI: 10.57702/pq36trb6
title: DukeMTMC

description: The dataset used for tracking multiple people across multiple cameras is a large-scale multi-camera tracking dataset, DukeMTMC.
DOI: 10.57702/jf7ixag9
title: Embedded Systems Market Size

description: Embedded systems market size dataset, used to study the market size of embedded systems.
DOI: 10.15468/dl.us7g3t
title: Occurrence Download

description: A dataset containing 196950 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 (Cenchrus L.)"
 ]
}

 The dataset includes 196950 records from 1097 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9o57twcm
title: BeautyGlow dataset

description: The BeautyGlow dataset is used for training the BeautyGlow model.
DOI: 10.57702/4zpzt5o5
title: CNN/DailyMail

description: A bus driver who was seriously injured when he was hit by a steam engine is making good progress, his wife has said.
DOI: 10.57702/arzmdzo0
title: Endoscapes-Seg50 and CaDIS

description: The Endoscapes-Seg50 dataset is a segmentation dataset for safe dissection in laparoscopic cholecystectomy that consists of 6 classes (5 anatomical structures and 1 tool class). The CaDIS dataset is a dataset for scene segmentation in cataract surgery that, like Endoscapes-Seg50, also contains both anatomical structures and tools.
DOI: 10.57702/6ko9jjny
title: Cross-View Image Matching for Geo-localization in Urban Environments

description: A new large scale cross-view dataset consisting of pairs of street view and bird’s eye view images collected from three different cities in the United States.
DOI: 10.57702/6wr04tyr
title: The PASCAL Visual Object Classes (VOC) challenge

description: A benchmark for object detection
DOI: 10.57702/x4fwxvur
title: LM-Critic: Language Models for Unsupervised Grammatical Error Correction

description: Training a model for grammatical error correction (GEC) requires a set of labeled ungrammatical / grammatical sentence pairs, but manually annotating such pairs can be expensive.
DOI: 10.57702/ata9x3n6
title: CoNLL-2014

description: The task of grammatical error correction (GEC) is to map an ungrammatical sentence xbad into a grammatical version of it, xgood.
DOI: 10.57702/r1w4om8q
title: BEA-2019

description: The Break-It-Fix-It (BIFI) framework has demonstrated strong results on learning to repair a broken program without any labeled examples.
DOI: 10.57702/j00trgsq
title: Corpus of Regional African American Language (CORAAL)

description: This dataset comprises more than 150 socio-linguistic interviews with African-American English speakers born between 1891 and 2005.
DOI: 10.57702/1nmlnbgw
title: Buckeye corpus of conversational speech

description: This dataset focuses on spoken English encompassing daily live situations.
DOI: 10.57702/mhfa6deb
title: MnasNet: Platform-Aware Neural Architecture Search for Mobile

description: Designing convolutional neural networks (CNN) for mobile devices is challenging because mobile models need to be small and fast, yet still accurate. Although significant efforts have been dedicated to design and improve mobile CNNs on all dimensions, it is very difficult to manually balance these trade-offs when there are so many architectural possibilities to consider.
DOI: 10.57702/a39hny5y
title: Physical exercise, Iris, Wine, Boston house price, Breast cancer, Epilepsy

description: The Physical exercise data set contains data about physical exercise, Iris data set contains data about iris plants, Wine data set contains data about wine, Boston house price data set contains data about house prices, Breast cancer data set contains data about breast cancer, Epilepsy data set contains data about epilepsy
DOI: 10.57702/1emj0isv
title: EndoVis 2017 and EndoVis 2018

description: Two publicly available datasets from the MICCAI surgical instruments segmentation challenge EndoVis 2017 and 2018.
DOI: 10.57702/6b9faa4x
title: FLARE2021

description: The FLARE2021 dataset is a large-scale dataset for abdominal multi-organ segmentation. It contains CT scans of various organs and includes cases with lesions and other abnormalities.
DOI: 10.5281/zenodo.13906740
title: Physiological Data Collected from smartwatch: EDA, Pulse Rate, and Skin Temperature for Stress and Fatigue Analysis

description: The dataset contains multiple columns capturing both physiological and demographic data. Physiological data, collected using the Empatica EmbracePlus smartwatch, includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. The processed data is aggregated on a per-minute basis.

Demographic information, such as age, gender, fitness level, and sleep duration from the previous night, is also included. Additionally, participants rated their perceived physical fatigue on the Borg scale (ranging from 6 to 20), offering a subjective measure of exertion during or after physical tasks.

The dataset was collected during controlled simulations of industrial tasks in a fitness environment. These simulations involved repetitive activities, including weightlifting, resistance band exercises, and isometric tasks, designed to mimic the physical demands of industrial work. This approach allowed for the safe and effective study of physical fatigue. The resulting data provides valuable insights into the physiological responses associated with repetitive physical labor.
DOI: 10.57702/k0ksbi1z
title: Mammalian megafauna mortality dynamics

description: The dataset used in this paper to model the dynamics of mortality and the ephemeral nature of mammalian megafauna.
DOI: 10.5281/zenodo.13906739
title: Physiological Data Collected from smartwatch: EDA, Pulse Rate, and Skin Temperature for Stress and Fatigue Analysis

description: The dataset contains multiple columns capturing both physiological and demographic data. Physiological data, collected using the Empatica EmbracePlus smartwatch, includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. The processed data is aggregated on a per-minute basis.

Demographic information, such as age, gender, fitness level, and sleep duration from the previous night, is also included. Additionally, participants rated their perceived physical fatigue on the Borg scale (ranging from 6 to 20), offering a subjective measure of exertion during or after physical tasks.

The dataset was collected during controlled simulations of industrial tasks in a fitness environment. These simulations involved repetitive activities, including weightlifting, resistance band exercises, and isometric tasks, designed to mimic the physical demands of industrial work. This approach allowed for the safe and effective study of physical fatigue. The resulting data provides valuable insights into the physiological responses associated with repetitive physical labor.
DOI: 10.57702/i6o5p0sz
title: DeformingThings4D-Animals

description: The DeformingThings4D-Animals dataset contains 300 meshes from 9 different animal identities, spanning diverse species such as bears, rabbits, dogs, and moose.
DOI: 10.57702/n3c7nc76
title: PaLI

description: The PaLI dataset is a large-scale multilingual language-image model.
DOI: 10.57702/xf0xfd5v
title: Kubric-4D

description: A synthetic dataset for dynamic novel view synthesis, consisting of 3,000 scenes of 60 frames each, at a frame rate of 24 FPS, with RGB-D data rendered from 16 virtual cameras at a fixed set of poses.
DOI: 10.57702/r6xtxuyb
title: GBSD: Generative Bokeh with Stage Diffusion

description: The dataset used in the paper for generating photorealistic images with a bokeh style.
DOI: 10.57702/9dfikyvy
title: EEGEyeNet

description: The EEGEyeNet dataset contains 47 hours of high-density 128-channel EEG data synchronized with eye-tracking recordings from 356 healthy adults.
DOI: 10.57702/u3wy694w
title: Human Protein Atlas Image Classiﬁcation Challenge

description: The Human Protein Atlas Image Classiﬁcation Challenge dataset was used for training the model. The dataset contains images of microtubules, nucleus, proteins, and endoplasmic reticulum.
DOI: 10.57702/kihj8cro
title: Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

description: Data augmentation methods have played an important role in the recent advance of deep learning models, and have become an indispensable component of state-of-the-art models in semi-supervised, self-supervised, and supervised training for vision.