cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/76c22606a2a67cbca8f33149d3b5dfb6
title: Living Field Laboratory at the Kellogg Biological Station, Hickory Corners, MI (1992 to 2012)

description: Dataset Abstract
 The Living Field Laboratory is a long-term rotation study established in 1993 under the direction of Emeritus Professor Dr. Richard Harwood to evaluate the benefits of cover crops (as green manure) and/or the addition of composted dairy manure in two integrated systems compared to a conventional and an organic system. The LFL accommodates every entry point of the crop rotation each year and has a factorial design that allows for the comparison of a number of interactions. These interactions include: differences in N management, rotation effects, and cover crops. From 1993 through 2005, the rotation consisted of corn (Zea mays L.)/corn/soybean (Glycine max)/wheat (Triticum aestivum) vs. continuous corn. During this period, crimson clover (Trifolium incarnatum L.) was seeded to 1st yr. corn, 2nd yr corn was in rye grass (Lolium multiflorum), soybean had no cover, and red clover (Trifolium pretense L.) was frost-seeded into wheat.
In 2006, under the direction of Dr. Sieglinde Snapp and through consultation with a farmer advisory group, the rotation was shortened to a 3 yr rotation of corn/soybean/wheat vs. continuous corn. The remaining plot in each management system was converted to a 2 yr rotation of corn/soybean. Cereal rye (Secale cereale) is now planted after corn regardless of crop rotation. Cereal rye follows soybean in the 2-yr rotation. Red clover is frost-seeded into wheat.
The management systems are: Conventional, Integrated Fertilizer and Integrated Compost. Weed management is identical across systems, and nitrogen fertilizer management adjusted to take into account soil N availability and balance nitrogen inputs across treatments. The cover crop is present as a split plot (plus minus) within each system. The split-plot cover crop treatment was established in 1993 in Integrated Fertilizer and in Integrated Compost, while the split-plot cover crop treatment was established 14 years later in 2007 in the Conventional treatment, to allow a comparison of short and long-term cover crop presence.
In 2007, the organic management system was changed to a comparison of a perennial grain systems (perennial wheat-alfalfa intercrop) and a 4-yr rotation of corn/soybean/wheat/ alfalfa (Medicago sativa). This allows the comparison of a typical Michigan field crop organic system to a novel system that involves a new, perennial system.
 original data source http://lter.kbs.msu.edu/datasets/45
DOI: 10.57702/9mtx3rdw
title: Association

description: The dataset used in this paper for collaborative machine learning for DGA detection.
DOI: 10.57702/n1u8xu9g
title: Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks

description: The dataset used in this paper is a collection of hourly precipitation forecasts from two governmental reforecasting projects operated by governmental weather services.
DOI: 10.57702/d52xswtb
title: TrafﬁcBJ

description: The TrafﬁcBJ dataset is a collection of taxicab GPS data and meteorological data recorded in Beijing.
DOI: 10.57702/ex3ye6oy
title: Human 3.6

description: The Human 3.6 dataset contains motion capture data of a person captured using a high-speed 3D camera.
DOI: 10.57702/d3icbchw
title: DQG dataset for reading comprehension

description: The dataset for Difﬁculty-controllable Question Generation (DQG) for reading comprehension, prepared by the authors.
DOI: 10.57702/gve4y9op
title: Accurate pouring using model predictive control

description: A dataset of pouring tasks using model predictive control.
DOI: 10.57702/07d3jrz6
title: Repelling-Attracting Hamiltonian Monte Carlo

description: Repelling-Attracting Hamiltonian Monte Carlo for sampling from multimodal distributions.
DOI: 10.57702/ngig86g6
title: Real-recorded test set for DNS

description: Real-recorded test set for DNS. Consists of 800 real-world recordings including various background noises at different SNR, target levels, acoustic conditions, and languages.
DOI: 10.57702/aoc6f2qk
title: Incomplete Syntax Influence Korean Language Model

description: Syntactically Incomplete Korean (SIKO) dataset for Korean language models
DOI: 10.57702/ojzozf0k
title: Distributional Logistics and Airline Cargo Management

description: Distributional logistics and airline cargo management datasets
DOI: 10.57702/04utzldr
title: CoNLL03

description: The CoNLL03 dataset is a low-resource named entity recognition dataset. The dataset contains 4 entity types: person, location, organization, and miscellaneous entities. The dataset is used to evaluate the performance of the proposed Prompt-based Text Entailment (PTE) method for low-resource named entity recognition.
DOI: 10.57702/ach2c87z
title: MSR

description: The MSR dataset is a widely used vulnerability detection dataset, consisting of 10,900 vulnerable examples and 177,736 non-vulnerable examples.
DOI: 10.57702/5hrsgbdo
title: JD.com Search Story Recommendation Dataset

description: The dataset used in this paper for personalized search story recommendation.
DOI: 10.57702/6umyqrex
title: Grammarly Argument Quality Corpus (GAQCorpus)

description: A large, domain-diverse annotated corpus of theory-based argument quality assessment.
DOI: 10.57702/uvz9ud8k
title: Which argument is more convincing?

description: A dataset for analyzing and predicting convincingness of web arguments.
DOI: 10.57702/aqr356rs
title: Video-based facial micro-expression analysis dataset

description: A video-based facial micro-expression analysis dataset.
DOI: 10.57702/52qg7s18
title: CAS(ME)3

description: A facial spontaneous micro-expression database with depth information and high ecological validity.
DOI: 10.57702/pmtsflxp
title: CrowdX

description: The dataset is used for scene semantic segmentation task. It contains 3D characters rendered in Unity.
DOI: 10.57702/7jcqveyz
title: -∆ Transformation Setup

description: The dataset is not explicitly described in the paper, but it is mentioned that the authors used a -∆ transformation setup to test the proposed model reduction approach.
DOI: 10.57702/cz79x5aw
title: African American-Diabetes Heart Study (AA-DHS) dataset

description: The African American-Diabetes Heart Study (AA-DHS) dataset contains CT scans of abdomen with manual liver segmentation.
DOI: 10.57702/5zqepcgk
title: Kidney Tumor Segmentation Dataset

description: The dataset is used for kidney tumor segmentation from CT volumes.
DOI: 10.57702/b0b22m5h
title: Monthly Macroeconomic Dataset

description: The dataset used in this paper is a monthly macroeconomic dataset from the Federal Reserve Bank of St. Louis, covering the period from 01/1970 to 12/2019.
DOI: 10.57702/n628qpkx
title: Ant

description: The dataset used in the paper is the Ant environment from the D4RL dataset.
DOI: 10.57702/3orbetlc
title: CPC-18: Choice Prediction Competition Dataset

description: CPC-18 dataset is a benchmark dataset for evaluating behavior-based decision making. It covers a wide range of anomalies compared to other datasets and is one of the enormous datasets in this domain.
DOI: 10.57702/jrn8ra4n
title: PsychFM: Predicting Human Behavior

description: Psychological Factorisation Machine (PsychFM) dataset is a hybrid model that combines concepts from machine learning and psychological theories.
DOI: 10.57702/72crnuwm
title: IoT Device Identification Dataset

description: The dataset is used for IoT device identification task. It contains JSON documents describing IoT devices.
DOI: 10.57702/sdxfs0hq
title: Multi-view Content-aware Indexing for Long Document Retrieval

description: Long document question answering (DocQA) aims to answer questions from long documents over 10k words. They usually contain content structures such as sections, sub-sections, and paragraph demarcations. However, the indexing methods of long documents remain under-explored, while existing systems generally employ fixed-length chunking.
DOI: 10.57702/8b7m43mm
title: WikiWeb2M

description: WikiWeb2M is a page-level multimodal Wikipedia dataset.
DOI: 10.57702/8ndeu89m
title: Walking down the memory maze: beyond context limit through interactive reading

description: Walking down the memory maze: beyond context limit through interactive reading.
DOI: 10.57702/8chzlk49
title: Chinese NER using lattice LSTM

description: Chinese NER using lattice LSTM
DOI: 10.57702/chw7qceh
title: Chinese named entity recognition method based on BERT

description: Chinese named entity recognition method based on BERT
DOI: 10.57702/5qb97prf
title: State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach

description: The dataset used in the paper is a linear time-varying (LTV) system with delayed measurements. The system is described by the equations: ˙x(t) = A(t)x(t) + B(t)u(t), y(t) = C(t)x(t). The goal is to estimate the state x(t) using the delayed measurements y(t) = C(t)x(t).
DOI: 10.57702/1auefxli
title: UNBC-McMaster Shoulder Pain Archive

description: The UNBC-McMaster Shoulder Pain Archive dataset is a widely used dataset for pain expression recognition and intensity estimation.
DOI: 10.57702/n8hlj0f6
title: EQG-RACE

description: Educational Question Generation (QG) dataset, used to train and evaluate QG models.
DOI: 10.57702/unadurue
title: WithMe dataset

description: The WithMe dataset contains EEG signals from subjects performing an auditory-visual attention task.
DOI: 10.57702/djqmzoa5
title: Hedge Funds, Banks, Brokerages, and Insurers Dataset

description: The dataset used in this study contains daily pricing information and return values from January 1998 to June 2020 for hedge funds, banks, brokerages, and insurers.
DOI: 10.57702/qgmfjsqe
title: Iris, Wisconsin Breast Cancer, and Pima Indian Diabetes datasets

description: The dataset used in the paper is a collection of 3 datasets: Iris, Wisconsin Breast Cancer, and Pima Indian Diabetes.
DOI: 10.57702/9utf1koj
title: Medical Expenditure

description: The dataset contains medical information of various patients collected for research purposes. The race attribute is considered for fairness.
DOI: 10.57702/d0luc6xf
title: Youtube Faces

description: The dataset used for face recognition tasks.
DOI: 10.6073/pasta/cb301b6626b614506cd95c8174a48401
title: Soil physical, chemical, and root data from forest stands at Thompson Farm in Durham, NH

description: In July 2019, quantitative soil pits were excavated alongside replicate power cores from three mature oak-pine forest stands at Thompson Farm (Durham, NH) to characterize soil physical and chemistry properties as well as root depth profiles in control and treatment plots associated with the Thompson Farm DroughtNet project, as well as in the footprint of the Ameriflux tower. Mean total sampling depth across all pits and cores was 84cm, though half of samples reached 100 cm or deeper. Chemical and isotopic analyses for each sample layer include pH, total N, total C, and stable isotope ratios of N and C. Physical data include soil mass, rock volume, bulk density, and soil texture. Oven-dried root mass in each sample layer was recorded in multiple size categories (from pits) or sorted to species (from power cores).
DOI: 10.57702/tfle6kio
title: Sim-Suction-Dataset

description: A large-scale synthetic dataset for cluttered environments that combines analytical model and dynamic interactions.
DOI: 10.57702/nwd0mcr2
title: A. Zeng et al. dataset

description: A manually labeled suction grasp dataset from cluttered real-world environments.
DOI: 10.57702/9oxmcje8
title: FAIR1M

description: Fine-grained object recognition in remote sensing images is a challenging task. Objects have few texture features at high viewing distances, and thus it is hard to identify them.
DOI: 10.57702/whhew007
title: Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control

description: The dataset used in this paper is a collection of nonlinear robot motion planning problems with integrated perception and control.
DOI: 10.57702/mrlfz9ad
title: Boundary-Sensitive Network for Temporal Action Proposal Generation

description: Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analyzing real-world videos with long duration and high proportion of irrelevant content.
DOI: 10.57702/afqod01v
title: ReaSCAN

description: ReaSCAN dataset, a grounded navigation task with a 2D grid world.
DOI: 10.57702/b0ucc9mc
title: Ocean Eddy Localization using YOLO based on AWS SageMaker

description: Ocean eddies detection using YOLO models on SAR images
DOI: 10.57702/dnjb5eht
title: α-GAN

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a tunable GAN, called α-GAN, to generate samples from a distribution.
DOI: 10.57702/hmmpii0r
title: KITTI, TUM RGB-D, and EuRoC

description: SLAM datasets including KITTI, TUM RGB-D, and EuRoC
DOI: 10.57702/xptw0337
title: TUM RGB-D

description: SLAM datasets including KITTI, TUM RGB-D, and EuRoC
DOI: 10.57702/w13tn8hn
title: Wave-Tacotron: Spectrogram-Free End-to-End Text-to-Speech Synthesis

description: A dataset for wave-tacotron, a wave net-based text-to-speech synthesis model.
DOI: 10.57702/yt590d5l
title: CraftAssist Instruction Parsing (CAIP) dataset

description: A large scale semantic parsing dataset focused on instruction-driven communication with an agent in Minecraft.
DOI: 10.57702/wxj21di2
title: EPFL Light Field Image Dataset

description: Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras.
DOI: 10.57702/c9o9ib7o
title: Stanford Lytro Light Field Image Dataset

description: Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras.
DOI: 10.57702/ji11wixg
title: Error Correction in Electronic Text

description: The dataset used in the paper is a collection of electronic texts with errors, including texts from the internet and OCR processes.
DOI: 10.57702/tyy9e7hy
title: BUG-B dataset

description: The dataset used in the paper is a grid of input values, xi ∈ {x0, x1,..., xN }, with corresponding function values and gradients.
DOI: 10.57702/kjjn3ikl
title: Multi-armed Bandit dataset

description: The dataset used in the paper is a set of rewards for a multi-armed bandit problem.
DOI: 10.57702/ifu8tgdt
title: Measurement-Adaptive Sparse Image Sampling and Recovery

description: The proposed measurement-adaptive sparse image sampling and recovery framework.
DOI: 10.57702/ucp4a7nv
title: NCID, CCID, UCID, and RCID Databases

description: The NCID, CCID, UCID, and RCID databases.
DOI: 10.57702/orqbgsgz
title: Microsoft Research Cambridge Object Recognition Image Database

description: The Microsoft Research Cambridge Object Recognition Image Database.
DOI: 10.57702/xf3d5lls
title: Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV

description: MRI image super-resolution, CT image denoising, PET image synthesis, and all-in-one medical image restoration
DOI: 10.57702/ajl56oxg
title: scGEM dataset

description: The scGEM dataset is a dataset of single-cell gene expression data.
DOI: 10.57702/t51lm2oz
title: TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages

description: Topological Information Enhanced model (TIE) for web-based structural reading comprehension on web pages.
DOI: 10.5281/zenodo.14590526
title: 21-Val2
DOI: 10.5281/zenodo.14590527
title: 21-Val2
DOI: 10.57702/14uit9em
title: NYU DublinCity LiDAR dataset

description: The NYU DublinCity LiDAR dataset is a high resolution collection of 41 LiDAR scans over an area of Dublin, Ireland.
DOI: 10.57702/eeja0bf5
title: Columbia's Database of Response Functions
DOI: 10.57702/82pc0888
title: NYC High School Match Data

description: The dataset used in this paper is the NYC high school match data, which includes information on students, schools, and the assignment of students to schools.
DOI: 10.57702/jero130d
title: NYC School Report Card Data

description: The dataset used in this paper is the NYC school report card data, which includes information on schools and their grades.
DOI: 10.57702/e0u56p65
title: Singapore MRT System Dataset

description: Singapore MRT system dataset, including 251, 089, 965 MRT trip records, which were collected from all the working days from January 1 to May 31 in 2016.
DOI: 10.57702/omtb6zd2
title: Historical dataset

description: The dataset is used to evaluate the compression ensemble approach for visual data, specifically for the quantification of visual aesthetics and complexity.
DOI: 10.6073/pasta/65252e082b942c7a9136d1bddc0d469a
title: Data for Global Patterns of Nitrogen and Phosphorus in Reproductive and Leaf Litterfall, 1966 to 2022

description: Reproductive and leaf litterfall nitrogen and phosphorus data was compiled from previously published studies and is global in extent. The publication years from which data was obtained spans from 1966 to 2022. The data was compiled in order to assess global scale trends of nitrogen and phosphorus in both reproductive and leaf litterfall. This dataset was used in "Global Patterns of Nitrogen and Phosphorus in Reproductive and Leaf Litterfall", published in Ecosystems, by Steven W. Gougherty and Pamela H. Templer.
DOI: 10.57702/1lmmhmpd
title: Aflac Northern Ireland dataset

description: The dataset consists of 395 scanned document images, each corresponding to one of six categories of health insurance claim forms and exhibiting a degree of structural homogeneity common within organizations.
DOI: 10.57702/lqklc6xo
title: Link Prediction for Wikipedia Articles

description: The dataset used for the link prediction task on Wikipedia articles
DOI: 10.57702/l9x4bl6j
title: DailyDialog: A Manually Labelled Multi-Turn Dialogue Dataset

description: DailyDialog: A manually labelled multi-turn dialogue dataset.
DOI: 10.57702/ek900se0
title: LibriTTS: A Corpus Derived from Librispeech for Text-to-Speech

description: LibriTTS: A corpus derived from Librispeech for text-to-speech.
DOI: 10.57702/c0brh9iz
title: CSTR VCTK Corpus: English Multi-Speaker Corpus for CSTR Voice Cloning Toolkit

description: CSTR VCTK corpus: English multi-speaker corpus for CSTR voice cloning toolkit.
DOI: 10.57702/66yv18ui
title: Veaux et al. (2017) Corpus

description: Veaux et al. (2017) corpus.
DOI: 10.57702/s06qxbm8
title: LibriTTS Zen et al. (2019) Corpus

description: LibriTTS Zen et al. (2019) corpus.
DOI: 10.57702/9bzul1e3
title: Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People

description: A wearable assistive device for visually impaired people to navigate safely and quickly in unfamiliar environments, as well as perceive the complicated environment to automatically make decisions on the direction to move.
DOI: 10.57702/1jwkxf6p
title: Head CT Studies

description: The dataset consists of three labeled datasets of head CT studies of reported patients, presenting large vessel occlusion, acute ischemic strokes, and intracranial hemorrhage.
DOI: 10.57702/imxytatl
title: AOL Search Logs

description: AOL dataset contains about 21 million of search queries prompted by approximately 650,000 users.
DOI: 10.57702/sxxfcfbs
title: Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels

description: A framework that allows for easy creation of new domains from a handful of simple labels that can be generated without specific NLP knowledge.
DOI: 10.57702/jjj3xpz2
title: SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model

description: The dataset used in the paper is a conversation emotion recognition dataset, which includes two benchmark datasets: IEMOCAP and MELD.
DOI: 10.15468/dl.282fn6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.1_1",
 "Geometry POLYGON((-135.19167 36.51472,-92.80833 36.51472,-92.80833 53.48528,-135.19167 53.48528,-135.19167 36.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Downingia laeta (Greene) Greene"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055422-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/j8caefqh
title: CNN-DM Dataset

description: The CNN-DM dataset contains news articles and is used for training language models.
DOI: 10.57702/7kd6uhsl
title: PaDaS-Lab/legal-reference-annotations

description: The dataset of privacy policies annotated using GDPR-compliant named entities.
DOI: 10.57702/ugjg3e2h
title: YouTube-VIS-2021

description: An improved and augmented version of the YouTube-VIS-2019 dataset.
DOI: 10.57702/qb396h2i
title: DeepSF: deep convolutional neural network for mapping protein sequences to folds

description: Protein fold recognition is an important problem in structural bioinformatics. Almost all traditional fold recognition methods use sequence (homology) comparison to indirectly predict the fold of a target protein based on the fold of a template protein with known structure, which cannot explain the relationship between sequence and fold. Only a few methods had been developed to classify protein sequences into a small number of folds due to methodological limitations, which are not generally useful in practice.
DOI: 10.57702/q1lxepne
title: SCOP 1.75 dataset

description: The SCOP 1.75 dataset was used for training and validation. The dataset contains 16,712 proteins covering 7 major structural classes with total 1,195 identified folds.
DOI: 10.57702/vmnt38eo
title: SCOP 2.06 dataset

description: The SCOP 2.06 dataset was used for testing. The dataset contains 4,188 domains, covering 550 folds.
DOI: 10.57702/1t3fktpl
title: Overnight GARCH-Itˆo Volatility Models

description: The dataset used in the paper is a high-frequency financial data dataset, which includes log-prices and microstructure noise.
DOI: 10.57702/y27r4hc7
title: Progression parameters for emphysema: a clinical investigation

description: Progression parameters for emphysema: a clinical investigation.
DOI: 10.57702/bfwwjlrl
title: MNRE-2

description: MNRE-2 dataset
DOI: 10.57702/eb9e9ehb
title: DialogZoo

description: A large-scale dialogue dataset with rich task diversity, collected to pre-train a unified dialogue foundation model.
DOI: 10.57702/gtpjv20a
title: Synthetic dataset for regression problems

description: The dataset used in this paper is a synthetic dataset for regression problems, specifically for learning the conditional mean, median, and mode functions.
DOI: 10.57702/dbsx3yln
title: UXNet: Searching Multi-level Feature Aggregation for Segmentation

description: A novel architecture searching setting: searching for the optimal multi-level feature aggregation strategy to fuse the feature maps in UNet-like architecture for 3D medical image analysis.
DOI: 10.57702/u8uk45rn
title: Nas-unet: Neural Architecture Search for Medical Image Segmentation

description: A neural architecture search method for medical image segmentation.
DOI: 10.15468/dl.5a6yd4
title: Occurrence Download

description: A dataset containing 1974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster tataricus L.fil."
 ]
}

 The dataset includes 1974 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055423-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/s6riml69
title: V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

description: A neural architecture search method for volumetric medical image segmentation.