cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/k9jjmhp4
title: USGS Elevation Data

description: Elevation data used for generating the grid-based map.
DOI: 10.57702/8ldic997
title: LifeQA

description: A dataset for video question answering, including video evidence selection.
DOI: 10.57702/7pysnzcq
title: Verification and Validation of Convex Optimization Algorithms for Model Predictive Control

description: The dataset used in this paper is a convex optimization algorithm, specifically the Ellipsoid method, for model predictive control.
DOI: 10.57702/zmzgh944
title: Light Switch Control

description: The dataset used in the paper is a visual goal-directed task, where an agent has to control switches to reach a specific lighting goal.
DOI: 10.57702/2svhufk6
title: CrashFormer: A Multimodal Architecture to Predict the Risk of Crash

description: A multi-modal architecture to predict the risk of accidents for each area, utilizing comprehensive but relatively easy to obtain inputs such as accident history, weather information, map images, and demographic information.
DOI: 10.57702/pjl43tfw
title: US Accidents Dataset

description: A countrywide traffic accident dataset containing approximately 6.2 million accident records collected from Bing and MapQuest between 2016 and 2021 in the United States.
DOI: 10.57702/cm0siavn
title: Accident Risk Prediction based on Heterogeneous Sparse Data

description: Accident Risk Prediction based on Heterogeneous Sparse Data.
DOI: 10.6073/pasta/ec1c1534994883f44e529610e9638305
title: warmXtrophic: plant community responses to the individual and interactive effects of climate warming and herbivory across multiple years at Kellogg Biological Station Long-Term Ecological Research Sites (KBS LTER), Michigan, USA, and University of Michigan Biological Station (UMBS), Michigan, USA.

description: Climate change has both direct and indirect effects on ecological communities. Whereas most climate change ecology experiments manipulate abiotic drivers to measure direct effects of climate on species or communities, fewer quantify the indirect effects through biotic interactions, especially over multiple sites and years. In this factorial experiment we manipulate temperature through open-top chambers, and the level of insect herbivory through insecticide. At two early successional field sites separated by 3 degrees of latitude and 3°C of mean annual temperature (University of Michigan Biological Station, Pellston, MI and Kellogg Biological Station, Hickory Corners, MI), 6 replicate 1-m2 plots per treatment were installed in May 2015. 12 plots per site are at ambient temperature, 12 are warmed with year-round non-UV filtering polycarbonate and wood frame construction OTCs for tall-stature plants (Welshofer et al. 2018 MEE). Insecticide reduces insect herbivory in half the plots (Welshofer et al. 2018 Oecologia). Over the course of the experiment, OTCs warmed the plant communities by 1.9°C-3.0°C on average over the growing season. Each year, through 2021, plant traits and community responses were measured at the species level: plant phenology (green-up, flowering, flowering duration, seed set); plant percent cover (aerial % cover of the 1m2 plot); plant traits (specific leaf area, C and N content), herbivory damage to leaves, and plant species biomass (only in 2021). Further methodological details are found within each response variable metadata. This experiment is ongoing and further data package updates are planned. L0 data is available upon request. R scripts can be found here: https://github.com/SpaCE-Lab-MSU/warmXtrophic.
 The biotic and abiotic community context and relative strengths of direct vs. indirect effects may yield ecological surprises under climate change unless addressed together. Large-scale experiments like this one can improve our ability to understand and forecast ecological responses to climate change, especially how biotic interactions mediate species responses to climate change across biotic and abiotic contexts.
DOI: 10.57702/fnpej2cl
title: Energy-based out-of-distribution detection

description: Energy-based out-of-distribution detection.
DOI: 10.15468/dl.h88b9x
title: Occurrence Download

description: A dataset containing 47431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Osmunda claytoniana L., Solidago rigida L., Sporobolus michauxianus (Hitchc.) P.M.Peterson & Saarela, Woodwardia areolata (L.) T.Moore, Woodwardia virginica (L.) Sm., Aristolochia serpentaria L., Hepatica acutiloba DC., Hepatica americana (DC.) Ker Gawl., Lysimachia borealis (Raf.) U.Manns & Anderb., Persicaria longiseta (Bruijn) Kitag., Asarum virginicum L.)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 250",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 47431 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055404-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ne0tkti2
title: MultiRC

description: A reading comprehension dataset of 32,091 document-question-answer triplets that are true or false.
DOI: 10.57702/gv4z6y3y
title: TransAVS: End-to-End Audio-Visual Segmentation with Transformer

description: Audio-Visual Segmentation (AVS) is a challenging task, which aims to segment sounding objects in video frames by exploring audio signals. The proposed TransAVS framework tackles the AVS task, leveraging the potent long-range modeling abilities to promote cross-modal interaction.
DOI: 10.57702/24awowug
title: Hand Tremor Amplitude Measurement using Smartphone Videos

description: Dataset for hand tremor amplitude measurement using smartphone videos
DOI: 10.57702/eugm6ka7
title: iBIMS-1 dataset

description: The iBIMS-1 dataset used for testing the CodedVO method, containing five zero-shot scenes.
DOI: 10.57702/1s3pjd23
title: HVAC enabled Demand Response Dataset

description: The dataset used in this paper is a collection of data related to HVAC enabled demand response. It includes data on HVAC system modeling, demand response support time (DRST), and microgrid day-ahead scheduling.
DOI: 10.15468/dl.ew3339
title: Occurrence Download

description: A dataset containing 32496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-99.11936 19.77901,-99.11025 19.80627,-99.13829 19.8844,-99.16806 19.88074,-99.17213 19.86688,-99.20593 19.82663,-99.20111 19.80597,-99.19244 19.78417,-99.19121 19.75782,-99.20008 19.75008,-99.19766 19.73373,-99.19907 19.71328,-99.22762 19.7112,-99.25913 19.69321,-99.30422 19.6942,-99.30422 19.69223,-99.25113 19.63552,-99.24225 19.63099,-99.20992 19.65874,-99.19936 19.65739,-99.19986 19.66898,-99.18163 19.67195,-99.19464 19.71465,-99.18422 19.73306,-99.11272 19.72244,-99.08812 19.71314,-99.11936 19.77901)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 32496 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055405-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/21m49wxo
title: D2 dataset

description: A dataset for unsupervised distant finetuning is extracted from a large text corpus CLUE based on discourse relations.
DOI: 10.57702/a78s3r89
title: Visconde: Multi-document QA with GPT-3 and Neural Reranking

description: A multi-document QA system that uses a three-step pipeline to perform the task: decompose, retrieve, and aggregate.
DOI: 10.57702/qgo0kji0
title: IIRC: A dataset of incomplete information reading comprehension questions

description: A dataset for information-seeking questions that require retrieving the necessary information missing from the original context.
DOI: 10.57702/mjchegrv
title: RadioBench: A Benchmarking Suite for RF Localization

description: A suite of 5 large-scale, industry-grade datasets that enable the empirical study of learning-based RF localization and its robustness to macro- and micro-induced distribution shift effects.
DOI: 10.57702/yjsp4vz6
title: PER2Pos

description: A dataset for indoor localization using periodograms (PER) and position estimates.
DOI: 10.57702/huoolg9h
title: Explainable AI

description: The dataset used in this paper is a collection of questions and answers related to explainable artificial intelligence.
DOI: 10.57702/jzam2z3j
title: Arrhythmia dataset

description: The dataset used in this paper is a real-world arrhythmia dataset for evaluating the resilience of linear classification algorithms under training data attacks.
DOI: 10.57702/aletw96p
title: MultiWOZ 2.0, CamRest676, SMCalFlow

description: Task-oriented dialogue datasets for training and evaluation of task-oriented dialogue models
DOI: 10.57702/ks7osrom
title: Taskmaster

description: Task-oriented dialogue datasets for training and evaluation of task-oriented dialogue models
DOI: 10.57702/p7lvarzn
title: MovieLens 1 Million Dataset

description: MovieLens 1 Million Dataset is a large-scale movie recommendation dataset, which contains 6040 users and 3706 items.
DOI: 10.57702/mdt0lvo9
title: EMALG: An Enhanced MAndarin Lombard Grid Corpus with Meaningful Sentences

description: EMALG: An Enhanced MAndarin Lombard Grid Corpus with Meaningful Sentences
DOI: 10.57702/85snhxdq
title: Chinese Gigaword Fifth Edition (LDC2011t13)

description: Chinese Gigaword Fifth Edition (LDC2011t13)
DOI: 10.57702/wx0iz0xw
title: Chinese TIMIT: A TIMIT-like corpus of standard Chinese

description: Chinese TIMIT: A TIMIT-like corpus of standard Chinese
DOI: 10.57702/e562l01q
title: Lombard Chinese-TIMIT (LCT) corpus

description: Lombard Chinese-TIMIT (LCT) corpus
DOI: 10.57702/jz11p5eg
title: Efﬁcient Video Pose Estimation via Neural Architecture Search

description: Human pose estimation has achieved significant progress in recent years. However, most of the recent methods focus on improving accuracy using complicated models and ignoring real-time efficiency. To achieve a better trade-off between accuracy and efficiency, we propose a novel neural architecture search (NAS) method, termed ViP-NAS, to search networks in both spatial and temporal levels for fast online video pose estimation.
DOI: 10.57702/2w96shp1
title: COCO2017 Dataset

description: The COCO2017 dataset is utilized to evaluate the quantization performance for object detection task.
DOI: 10.57702/981se0mp
title: PoseTrack: A Benchmark for Human Pose Estimation and Tracking

description: PoseTrack: A benchmark for human pose estimation and tracking.
DOI: 10.57702/7idoamk9
title: CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

description: CARETS is a systematic test suite to measure consistency and robustness of modern VQA models through a series of six fine-grained capability tests.
DOI: 10.57702/65l6es0b
title: SF-Net: Single-Frame Supervision for Temporal Action Localization

description: This paper proposes a method for temporal action localization using single-frame supervision. The authors use a unified system called SF-Net to predict actionness scores and mine pseudo action and background frames.
DOI: 10.57702/z41n04lg
title: Action Search: Spotting Actions in Videos

description: This paper proposes a method for action search in videos, which is used for spotting actions in videos.
DOI: 10.57702/0d7184n2
title: What's the Point: Semantic Segmentation with Point Supervision

description: This paper proposes a method for semantic segmentation using point supervision.
DOI: 10.6073/pasta/f3adbe87e7e506c720d0d9ee91d2b6c4
title: Radiation Measurements at Harvard Forest EMS Tower 1991-2007

description: Measurements of radiation and soil heat flux at the EMS tower on the Prospect Hill Tract, Harvard Forest, Petersham, Massachusetts. Values are hourly averages.
DOI: 10.57702/560mpwny
title: Taobao

description: Taobao is a large online shopping platform where items (products) could be viewed and purchased by people online.
DOI: 10.57702/yb7ioxi8
title: LumièreNet: Lecture Video Synthesis from Audio

description: LumièreNet: a simple, modular, and fully neural network-based architecture that synthesizes high-quality, full-pose headshot lecture videos from instructor's audio narration.
DOI: 10.57702/rt9s3xiz
title: CNN, XSum, Gigaword News Headline, and Annotated Enron Subject Line Corpus

description: The CNN, XSum, Gigaword News Headline, and Annotated Enron Subject Line Corpus are datasets used for various NLP tasks.
DOI: 10.57702/cdxea5qu
title: PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose

description: A neural simulator for outﬁts. Our methodology yields skinned models with Pose Space Deformation through an implicit Physically Based Simulation using deep learning framework.
DOI: 10.57702/mj9yq8mg
title: Old Hungarian texts for spelling normalization

description: A dataset of Old Hungarian texts, used for historical spelling normalization.
DOI: 10.57702/q13kwly6
title: Massachusetts General Hospital Brain MRI Dataset (Evaluation)

description: A dataset of 10,520 brain MRI scans acquired at Massachusetts General Hospital, used for evaluation of the proposed segmentation method.
DOI: 10.57702/si6f3vtd
title: COVID-19 data from Washington State, USA

description: The dataset used in this paper is the COVID-19 data from Washington State, USA.
DOI: 10.57702/oy2pyiih
title: Age-structured SIR model parameters

description: The dataset used in this paper is the age-structured SIR model parameters.
DOI: 10.57702/h46bt4t6
title: PolicyCleanse: Backdoor Detection and Mitigation for Reinforcement Learning

description: PolicyCleanse: Backdoor Detection and Mitigation for Reinforcement Learning
DOI: 10.57702/cwz7skqt
title: BackdoorL: Backdoor attack against competitive reinforcement learning

description: BackdoorL: Backdoor attack against competitive reinforcement learning
DOI: 10.57702/waecyft7
title: CHStone

description: A program suite for practical C-based high-level synthesis.
DOI: 10.57702/ie5povaq
title: PolyBench/C

description: A benchmark suite for polyhedral programs.
DOI: 10.57702/m328qxkw
title: ANTHROSCORE: A Computational Linguistic Measure of Anthropomorphism

description: Anthropomorphism in research papers and downstream news headlines
DOI: 10.57702/8nukam3t
title: MovieLens-20M, Last.fm hetrec-2011, and LibraryThing

description: Three recommendation datasets for evaluation: MovieLens-20M, Last.fm hetrec-2011, and LibraryThing.
DOI: 10.57702/isk82ozy
title: Last.fm hetrec-2011

description: Three recommendation datasets for evaluation: MovieLens-20M, Last.fm hetrec-2011, and LibraryThing.
DOI: 10.57702/sb96i059
title: WSDM Cup 2022 Cross-Market Recommendation Dataset

description: The dataset used in the WSDM Cup 2022 competition on cross-market recommendation.
DOI: 10.57702/csw1locd
title: Mintaka

description: The Mintaka dataset is a large-scale, complex, and natural dataset for end-to-end question answering, composed of 20,000 question-answer pairs.
DOI: 10.57702/pd0x90x1
title: LC-QuAD 2.0

description: The dataset used for training and testing the MST5 model, which consists of natural language questions paired with their corresponding Wikidata SPARQL queries.
DOI: 10.57702/5jp66o2j
title: RuBQ 2.0

description: The RuBQ 2.0 dataset is a large-scale, complex, and natural dataset for end-to-end question answering, composed of 10,000 question-answer pairs.
DOI: 10.57702/cbz02c0a
title: Tata Memorial Centre (TMC) Lung Cancer Dataset

description: The dataset used for testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images (WSIs) of lung cancer tissue.
DOI: 10.57702/2di8c65i
title: Yeast Cell-Cycle Dataset

description: The yeast cell-cycle dataset is a high-dimensional dataset.
DOI: 10.57702/0tghtlz8
title: Wankelmut task

description: The Wankelmut task is a simple task to evolve a controller that switches between two alternative conﬂicting tasks.
DOI: 10.57702/upuxwqrh
title: Illinois Climate Dataset

description: The dataset used in the experiments is the hourly climate normals in Illinois state, including five stations.
DOI: 10.57702/a8jd3qwd
title: AutoRally Dataset

description: The dataset used in the experiments is the vehicle’s driving environment.
DOI: 10.57702/rgz13u0i
title: Points Dataset for FPL Season 2014-15

description: The points dataset for FPL Season 2014-15 consists of yearly data along with gameweek, player ID, team, weekly points and running sum of points.
DOI: 10.57702/1p2fspm7
title: KDD Cup 99 dataset

description: The KDD Cup 99 dataset is a well-known dataset for network intrusion detection research.
DOI: 10.57702/p2yvqi4w
title: Cells Dataset

description: PC12 cells were obtained as a gift from Lloyd Greene (Columbia University).
DOI: 10.6073/pasta/6f5e7c4482c5aebebb92c8306b7ca2c3
title: The Extended Global Lake area, Climate, and Population Dataset (GLCP)

description: A changing climate and increasing human population necessitate understanding global freshwater availability and temporal variability. To examine lake freshwater availability from local-to-global and monthly-to-decadal scales, we created the Global Lake area, Climate, and Population (GLCP) dataset, which contains annual lake surface area for 1.42 million lakes with paired annual basin-level climate and population data. Building off an existing data product infrastructure, the next generation of the GLCP includes monthly lake ice area, snow basin area, and more climate variables including specific humidity, longwave and shortwave radiation, as well as cloud cover. The new generation of the GLCP continues previous FAIR data efforts by expanding its scripting repository and maintaining unique relational keys for merging with external data products. Compared to the original version, the new GLCP contains an even richer suite of variables capable of addressing disparate analyses of lake water trends at wide spatial and temporal scales.
DOI: 10.57702/8cgaoo7u
title: EDU dataset

description: The EDU dataset involves hand-crafted features extracted for 5,611 students across 10 weeks of data.
DOI: 10.57702/yhab39v8
title: IOHproﬁler: A Benchmarking and Proﬁling Tool for Iterative Optimization Heuristics

description: IOHprofiler is a tool for analyzing and comparing iterative optimization heuristics. It provides statistical evaluations of the algorithms' performance by means of the distribution on the fixed-target running time and the fixed-budget function values.
DOI: 10.57702/sthakrow
title: Dialogue State Tracking Challenge 4 (DSTC4)

description: The proposed model proposes an end-to-end attentional role-based contextual model that automatically learns speaker-speciﬁc contextual encoding and investigates various content-aware and time-aware attention mechanisms on a benchmark multi-domain human-human dialogue dataset.
DOI: 10.57702/th21n9o9
title: SNIPS and ATIS datasets for Spoken Language Understanding

description: The SNIPS and ATIS datasets are used for Spoken Language Understanding (SLU) task. The SNIPS dataset contains 1,000 dialogues with 5 intents and 9 slots, while the ATIS dataset contains 30 dialogues with 6 intents and 2 slots.
DOI: 10.57702/n42koe0y
title: Shallow Parsing with Conditional Random Fields

description: Shallow parsing with conditional random fields.
DOI: 10.57702/smpfx0sm
title: MultiXNet: Multiclass Multistage Multimodal Motion Prediction

description: The proposed approach was evaluated on two large-scale data sets collected on the streets of several cities, where it outperformed the existing state-of-the-art.
DOI: 10.57702/wuu05chh
title: Bandana: Using Non-volatile Memory for Storing Deep Learning Models

description: Typical large-scale recommender systems use deep learning models that are stored on a large amount of DRAM. These models often rely on embeddings, which consume most of the required memory. We present Bandana, a storage system that reduces the DRAM footprint of embeddings, by using Non-volatile Memory (NVM) as the primary storage medium, with a small amount of DRAM as cache.
DOI: 10.57702/x01vbzb0
title: Prague Dependency Treebank – Consolidated 1.0

description: The Prague Dependency Treebank – Consolidated 1.0 (PDT-C 1.0) is a large manually annotated Czech morphosyntactic resource.
DOI: 10.57702/o7j4i4td
title: LEARNABLE DISCRETE WAVELET POOLING (LDW-POOLING) FOR CONVOLUTIONAL NETWORKS

description: Pooling is a simple but widely used layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation functions, while leaving the pooling layers with fewer options. We introduce the Learning Discrete Wavelet Pooling (LDW-Pooling) that can be applied universally to replace standard pooling operations to better extract features with improved accuracy and efﬁciency.
DOI: 10.57702/motxrrhz
title: i-RevNet

description: The i-RevNet dataset is a reversible pooling dataset.
DOI: 10.6073/pasta/e671ed549a55fda3338b177a2ad54487
title: Land-cover mapping of the central Arizona region based on 2015 National Agriculture Imagery Program (NAIP) imagery

description: Detailed land-cover mapping is essential for a range of research issues addressed by sustainability science, especially for questions posed of urban areas, such as those of the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) program. This project provides a 1-meter land-cover mapping of the CAP LTER study area (greater Phoenix metropolitan area and surrounding Sonoran desert). The mapping is generated primarily using 2015 National Agriculture Imagery Program (NAIP) four-band data, with auxiliary GIS data used to improve accuracy. Auxiliary data include the 2015 cadastral parcel data, the 2014 USGS LiDAR data (1-meter), the 2014 Microsoft/OpenStreetMap Building Footprint data, the 2015 Street TIGER/Line, and a previous (2010) NAIP-based land-cover map of the study area (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-cap&identifier=623). Among auxiliary data, building footprints and LiDAR data significantly improved the boundary detection of above-ground objects. Post-classification, manual editing was applied to minimize classification errors. As a result, the land-cover map achieves an overall accuracy of 94 per cent. The map contains eight land cover classes, including: (1) building, (2) asphalt, (3) bare soil and concrete, (4) tree and shrub, (5) grass, (6) water, (7) active cropland, and (8) fallow. When compared to the aforementioned, previous (2010) NAIP-based land-cover map for the study area, buildings and tree canopies are classified more accurately in this 2015 land-cover map.
DOI: 10.57702/om9qdu7z
title: NuCLR: Nuclear Co-Learned Representations

description: NuCLR: Nuclear Co-Learned Representations, a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii.
DOI: 10.57702/4af4jp7o
title: Table of experimental nuclear ground state charge radii: An update

description: Table of experimental nuclear ground state charge radii: An update.
DOI: 10.57702/7w54110m
title: The AME 2020 atomic mass evaluation (II). Tables, graphs and references

description: The AME 2020 atomic mass evaluation (II). Tables, graphs and references.
DOI: 10.57702/zdr84tb4
title: Surface Reconstruction from Complex Scenes

description: Surface reconstruction from complex scenes.
DOI: 10.57702/pi47fzic
title: Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization

description: The dataset used in this paper is a binary classification task, where the goal is to predict the probability of a positive label given a set of features.