cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.psf6eq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Habenaria josephensis Barb.Rodr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101809-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i3wvst
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eugregarinida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 446 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009927-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hq3pbj
title: Occurrence Download

description: A dataset containing 8801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyciodes mylitta Edwards, 1861",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 8801 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069564-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgngn3
title: Occurrence Download

description: A dataset containing 1552341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Turdus philomelos C.L.Brehm, 1831",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1552341 records from 894 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009923-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsq6f6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Browningia viridis (Rauh & Backeb.) Buxb."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128216-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7892u
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bellevalia clusiana Griseb."
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052617-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdacjm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cloacitrema michiganense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009931-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt34q8
title: Occurrence Download

description: A dataset containing 2780 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sporophila hypoxantha Cabanis, 1851"
 ]
}

 The dataset includes 2780 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134579-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjsm6z
title: Occurrence Download

description: A dataset containing 2111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Genista cupanii Guss., Genista depressa M.Bieb., Genista desoleana Vals., Genista ephedroides DC., Genista falcata Brot., Genista fasselata Decne., Genista florida L., Genista florida subsp. polygaliphylla (Brot.) Cout., Genista germanica L., Genista hirsuta Vahl)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DatasetKey is one of (Pl@ntNet automatically identified occurrences, Pl@ntNet observations, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, naturgucker, Artportalen (Swedish Species Observation System), Norwegian Species Observation Service, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, Species recordings from the Danish National portal Arter.dk, Lajitietokeskus/FinBIF - Notebook, general observations, Vascular plant records verified via iRecord, iRecord Surveys)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069565-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qewby5
title: Occurrence Download

description: A dataset containing 5552431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araneae"
 ]
}

 The dataset includes 5552431 records from 3475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052467-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/s0tpanaa
title: XSUM

description: The XSUM dataset is used for training and evaluation.
DOI: 10.57702/emxtaaav
title: CICERO

description: The CICERO dataset is used for training and evaluation.
DOI: 10.57702/losq3cgd
title: ARXIV

description: The ARXIV dataset is used for evaluation.
DOI: 10.15468/dl.8v239y
title: Occurrence Download

description: A dataset containing 23787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrocotyle ranunculoides L.fil., Hydrocotyle natans Cyrillo, Hydrocotyle ranunculoides var. ranunculoides, Hydrocotyle natans Torr., Hydrocotyle cymbalariifolia Muhl. ex Elliott, Hydrocotyle nutans G.Don ex Loudon, Hydrocotyle ranunculoides var. lobata Urb., Hydrocotyle cymbalariaefolia Muhl., Hydrocotyle ranunculoides var. incisocrenata Urb., Hydrocotyle prolifera Otto ex Sweet, Hedera natans Cyr., Hydrocotyle ranunculoides var. adoensis Urb., Hydrocotyle prolifera Otto, Hydrocotyle adoensis Hochst., Hydrocotyle ranunculoides var. genuina Urb., Hydrocotyle americana Walter, Hydrocotyle ranunculoides f. minima Kuntze, Hydrocotyle ranunculoides var. brasiliensis Urb., Hydrocotyle natans Cirillo, Hydrocotyle batrachioides DC., Hydrocotyle cymbalariifolia Muhl., Hedera natans Cirillo, Hydrocotyle ranunculoides var. natans (Cirillo) Urb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 23787 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014274-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ix6vo4qp
title: MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion

description: A new approach for high-quality multi-exposure image fusion (MEF) using 1D lookup tables (LUTs) for efficient fusion.
DOI: 10.57702/1cjk5rlf
title: Visual Attention in LDR and HDR Images

description: A dataset for visual attention in LDR and HDR images.
DOI: 10.57702/gtr6hrky
title: Realistic Noise Model

description: The dataset used in the paper is a realistic noise model, which represents the grading behaviour of students in a massive open online course.
DOI: 10.57702/6e7xbdyt
title: Experimental database of disordered quaternary compositions

description: An experimental database of disordered quaternary compositions, including 1758 distinct perovskites and 227 non-perovskites, along with their crystal structure information.
DOI: 10.57702/bybrhw2e
title: Experimental materials dataset

description: A dataset of 2104 experimental materials, including their crystal structure information, used to train a Variational Autoencoder (VAE) model.
DOI: 10.57702/w8zxv9n9
title: Predicted perovskites dataset

description: A dataset of 10,790 predicted perovskites, along with their 5 most similar experimental materials, used to test the effectiveness of the VAE model.
DOI: 10.57702/2y5kpkdq
title: Flexible Job-Shop Scheduling Problem

description: The Flexible Job-Shop Scheduling Problem (FJSSP) is a combinatorial optimization problem where the goal is to find the optimal schedule for a set of jobs on a set of machines.
DOI: 10.57702/pyovgsmb
title: Traveling Salesman Problem

description: The Traveling Salesman Problem (TSP) is a classic problem in combinatorial optimization and operations research that involves finding the shortest possible tour that visits each city exactly once and returns to the starting city.
DOI: 10.57702/d9bycd9e
title: tcrLM

description: A large language model for predicting T cell receptor-antigen binding specificity
DOI: 10.57702/sfh8wjwb
title: ImmuneCODE database

description: A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2
DOI: 10.57702/msacar8d
title: DIPLECS dataset and Comma.ai dataset

description: The DIPLECS dataset contains indoor and outdoor driving scenarios, and the Comma.ai dataset contains highway driving scenarios.
DOI: 10.57702/nyv53169
title: Shapenets: A Deep Representation for Volumetric Shapes

description: 3D shapes are represented as point clouds, which are unordered sets of 3D points.
DOI: 10.57702/h42crrij
title: Smart Containers With Bidding Capacity: A Policy Gradient Algorithm for Semi-Cooperative Learning

description: The dataset used in this paper is a set of instances with attributes such as time till due date, job transport distance, job volume, holding cost, penalty failed job, and transport costs per mile.
DOI: 10.57702/g79xthv9
title: REFUGE dataset

description: The REFUGE dataset is regarded as the source domain and RIM-ONE-r3 and Drishti-GS datasets are treated as target domains.
DOI: 10.57702/43fdzyvl
title: OpenSubtitles2018

description: This dataset is used to evaluate the performance of context-aware machine translation systems. It consists of English-Russian subtitles with varying levels of context.
DOI: 10.57702/vbbyjmzg
title: Synthetic Time Series Dataset

description: A synthetic univariate time series dataset created using a unique synthetic time series generator algorithm
DOI: 10.57702/206znpat
title: Certified Human Trajectory Prediction

description: Trajectory prediction plays an essential role in autonomous vehicles. While numerous strategies have been developed to enhance the robustness of trajectory prediction models, these methods are predominantly heuristic and do not offer guaranteed robustness against adversarial attacks and noisy observations.
DOI: 10.57702/4y280ub6
title: Trajectory Prediction

description: Trajectory prediction is a crucial task for the safe operation of an autonomous vehicle. The task is known as human trajectory prediction and aims to predict the future positions of humans using their past positions as input data.
DOI: 10.57702/nsd5gxzw
title: Trajnet++ Benchmark

description: The Trajnet++ benchmark provides a fixed data split and unified pre-processing for these datasets.
DOI: 10.57702/pbfuyerk
title: Fluorescence Microscopy Denoising (FMD) dataset

description: A dataset of confocal, two-photon, and wide-field microscopy images comprising of a variety of biological samples.
DOI: 10.57702/y9ev8opk
title: MS-MARCO

description: MS-MARCO dataset is a large-scale question answering dataset, focusing on real-world web data
DOI: 10.57702/6g72xyql
title: Waymo Open Motion Dataset (WOMD)

description: The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the future.
DOI: 10.57702/6w8cimna
title: Self-Balanced Domain Generalization

description: Domain generalization aims to learn a prediction model on multi-domain source data such that the model can generalize to a target domain with unknown statistics.
DOI: 10.57702/3f9wiptl
title: VLCS Dataset

description: VLCS dataset is a benchmark for image classification, containing images from four different datasets (domains): VOC2007, LabelMe, Caltech, and SUN09.
DOI: 10.57702/2ec2ss37
title: Domain Generalization for Object Recognition

description: Domain generalization for object recognition with multi-task autoencoders.
DOI: 10.57702/xhp58yns
title: QM9 Dataset

description: The dataset is used for testing the proposed TopNets architecture on molecular property prediction tasks.
DOI: 10.57702/vybkem23
title: CDR-H3 Antibody Design Benchmark

description: The dataset is used for testing the proposed TopNets architecture on antibody design tasks.
DOI: 10.57702/dqo0mutr
title: 3BPA MD17 Dataset

description: The dataset is used for testing the proposed TopNets architecture on molecular dynamics simulation tasks.
DOI: 10.57702/3n3ndj5r
title: Argoverse Scene Flow

description: Self-driving dataset for scene flow estimation
DOI: 10.57702/5341gdpt
title: nuScenes Scene Flow

description: Self-driving dataset for scene flow estimation
DOI: 10.57702/kp4r9b6y
title: COVID-19 dataset

description: The dataset used in the paper is COVID-19 case data, state restriction policy, population and density, population with higher risk, age structure data, race structure data, and annual enplanements data.
DOI: 10.57702/mevwkjgy
title: PDBbind dataset

description: The dataset used for benchmarking protein-ligand interaction prediction models.
DOI: 10.57702/ip9axbwi
title: Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management

description: Q-Pain: a question answering dataset to measure social bias in pain management
DOI: 10.57702/b77snmbz
title: GE-30 dataset

description: The dataset used in this paper is a collection of T1, T2, and T2-FLAIR images acquired at a 3T GE scanner from 30 MS patients.
DOI: 10.57702/jp46l0je
title: BabyAGI

description: The BabyAGI model, an AI agent that can generate and attempt to execute tasks based on a given objective.
DOI: 10.57702/p26rn2lq
title: Deep Frame Prediction for Video Coding

description: The proposed DNN-based frame prediction architecture that is able to support both uni- and bi-directional prediction.
DOI: 10.57702/rfx4o302
title: IMAGENET ILSVRC2012

description: The dataset used for image recognition using deep convolutional neural networks.
DOI: 10.57702/uqslcbu0
title: BioLORD: Learning Ontological Representations from Deﬁnitions

description: BioLORD is a pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.
DOI: 10.57702/pyt9dzgt
title: Occupational level data on exposure to robotics, software, and AI

description: Occupational level data on exposure to robotics, software, and AI, administrative worker-level data, and task routineness data.
DOI: 10.57702/1w6pysw0
title: Administrative worker-level data

description: Administrative worker-level data, including employment biographies and wage data.
DOI: 10.57702/9crsr372
title: वाक् सञ्चयः (/Vāksañcayah ̣/)

description: A new Sanskrit speech corpus and a large-vocabulary ASR system for Sanskrit
DOI: 10.57702/79lh3gtr
title: Sanskrit ASR dataset

description: A dataset for Sanskrit ASR
DOI: 10.57702/u1eyl9yr
title: Does Weather Matter? Causal Analysis of TV Logs

description: A causal analysis of how weather affects TV watching patterns. The dataset contains 10M viewing events of about 40k users, who watched more than 11k unique programs in 14 TV genres.
DOI: 10.57702/whe2xsxg
title: OASIS dataset

description: The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided.
DOI: 10.25403/upresearchdata.27951528
title: <sub>COVID-19 pandemic effects on blue-collar employees and impact on their occupational identity</sub>

description: This study explores the impact of the COVID-19 pandemic on blue-collar employees, whose in-person roles made remote work impossible during lockdowns. Using a qualitative approach with semi-structured interviews and an interpretivist paradigm, the research found that these workers faced significant financial strain, reduced autonomy, and heightened physical and mental health challenges. The pandemic also altered their occupational identities, with participants experiencing changes in roles and reaffirming their sense of pride and purpose in their work. By addressing a knowledge gap, the study highlights the need for effective support mechanisms to mitigate such impacts in future crises, contributing valuable insights to the literature on blue-collar employees and occupational identity during pandemics.
DOI: 10.25403/upresearchdata.27951528.v1
title: <sub>COVID-19 pandemic effects on blue-collar employees and impact on their occupational identity</sub>

description: This study explores the impact of the COVID-19 pandemic on blue-collar employees, whose in-person roles made remote work impossible during lockdowns. Using a qualitative approach with semi-structured interviews and an interpretivist paradigm, the research found that these workers faced significant financial strain, reduced autonomy, and heightened physical and mental health challenges. The pandemic also altered their occupational identities, with participants experiencing changes in roles and reaffirming their sense of pride and purpose in their work. By addressing a knowledge gap, the study highlights the need for effective support mechanisms to mitigate such impacts in future crises, contributing valuable insights to the literature on blue-collar employees and occupational identity during pandemics.
DOI: 10.57702/tr3z1bqs
title: GYAFC

description: The GYAFC dataset is a formality transfer dataset for English that contains aligned formal and informal sentences from two domains: Entertainment & Music and Family & Relationships.
DOI: 10.57702/cm36on08
title: X-FORMAL

description: X-FORMAL dataset contains pairs of formal and informal texts in four languages: Brazilian Portuguese, French, Italian, and English.
DOI: 10.57702/4yen14xf
title: Deep Depth From Focus

description: Depth from focus (DFF) is a highly ill-posed inverse problem because the optimal focal distance is inferred from sharpness measures which fail in untextured areas. Existing variational solutions revert to spatial regularization to fill in the missing depth, which are not generalized to more complex geometric environments.
DOI: 10.57702/fxk2l445
title: Example RSS feed

description: Example RSS feed
DOI: 10.57702/xti13h0r
title: Tower of Hanoi

description: The dataset used in the paper is a Tower of Hanoi task, where the goal is to move a block from one peg to another using a limited number of moves.
DOI: 10.15468/dl.rmykmc
title: Occurrence Download

description: A dataset containing 25075611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphalidae"
 ]
}

 The dataset includes 25075611 records from 8013 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014272-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvp495
title: Occurrence Download

description: A dataset containing 179671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionCode is Fish",
 "InstitutionCode is LACM",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 179671 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072297-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ngwub7
title: Replication Data for: Beyond Surveys: Leveraging Real-World Events to Validate Behavioral Measures of News Exposure

description: Do people learn about the political world through online media? We address this question by developing different exogenous measures of media exposure, drawing on three months of web-tracking data from five democracies. Our analysis distinguishes between visits to general news domains and visits to politically or content-specific articles, identified using machine learning techniques. We evaluate these measures through multiple approaches, including their ability to significantly predict political knowledge. To deepen our understanding, we analyze knowledge gains during a major, unexpected news event—the 2022 Russian invasion of Ukraine—using observed media exposure measures varying in granularity. Our findings underscore the importance of granularity: visits and time spent on Ukraine-related articles emerge as the only significant predictor of surveillance knowledge, while broader measures, such as domain-level visits, show no significant impact when controlling for self-reported exposure and other key predictors. We conclude by discussing the substantive and methodological implications of these results.
description: Do people learn about the political world through online media? We address this question by exploiting an unexpected global news event—the Russian invasion of Ukraine—and by developing exogenous measures of media exposure based on three months of web-tracking data from five advanced democracies. Our analysis differentiates between visits to general news domains and visits to politically-relevant and event-specific articles, with the latter identified using machine learning techniques. We validate these exposure measures through multiple approaches, including their capacity to predict knowledge about the Russian invasion. The study covers the period from two days before the invasion on February 24, 2022, through Mid-June, 2022, and combines web-tracking and survey data collected by YouGov Pulse in France, Germany, Spain, the United States, and the United Kingdom. The web-tracking data capture desktop and mobile news visits (except for France, where mobile data were unavailable) over periods ranging from 92 days (Spain) to 105 days (other countries). The final sample includes 1,287 individuals. Given the limited sample sizes and number of groups within each country, we employed Bayesian multilevel analysis. Specifically, we fitted six Bayesian multilevel ordinal logistic models using the brms package in R, with all models estimated both with and without weights. All pre-processed data and scripts are available on this project page, subject to license conditions.

License: CC-By Attribution 4.0 International