cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10574462
title: Designing  light stimulation for a pupillary–computer interface using binary code

description: This repository is based on the following paper.

S. Nakatani, N. Fujioka, and A. Sato, "Designing light stimulation for a pupillary–computer interface using binary code", IFAC Journal of Systems and Control, 2024. 10.1016/j.ifacsc.2024.100246

CSV files to draw figures are available in this repository.
DOI: 10.5281/zenodo.10574463
title: Designing  light stimulation for a pupillary–computer interface using binary code

description: This repository is based on the following paper.

S. Nakatani, N. Fujioka, and A. Sato, "Designing light stimulation for a pupillary–computer interface using binary code", IFAC Journal of Systems and Control, 2024. 10.1016/j.ifacsc.2024.100246

CSV files to draw figures are available in this repository.
DOI: 10.5281/zenodo.10613172
title: A Dataset of Multi-modal satire - humorous and  non-humorous

description: To facilitate future research in multimodal (image and text) satire,  we are publishing this dataset of multimodal satire.  It has 10889 samples.  The dataset is examined and then manually labeled. The dataset source is the public website https://babylonbee.com/  who publishes satirical content.

This BabylonBee Dataset has satirical content, and satire need not  be humorous always. The dataset has the following columns in the CSV 



1.     Headline: News headline 

2.     Humour:  Yes ( 1) , No (0) 

3.     Mechanism: GP  ( Garden Path), RL ( Red Light) and CR ( Cross Road). These terms signify the three cognitive mechanisms of delivering humour. For detailed explanations, please refer to the Reference cited below. 

4.     Article Link 

5.     Image Link 


 



@article{dynel2012garden,


  title={Garden paths, red lights and crossroads: On finding our way to understanding the cognitive mechanisms underlying jokes},

  author={Dynel, Marta},

  journal={Israeli Journal of Humor Research},

  volume={1},

  number={1},

  pages={6--28},

  year={2012}

}
DOI: 10.5281/zenodo.10613173
title: A Dataset of Multi-modal satire - humorous and  non-humorous

description: To facilitate future research in multimodal (image and text) satire,  we are publishing this dataset of multimodal satire.  It has 10889 samples.  The dataset is examined and then manually labeled. The dataset source is the public website https://babylonbee.com/  who publishes satirical content.

This BabylonBee Dataset has satirical content, and satire need not  be humorous always. The dataset has the following columns in the CSV 



1.     Headline: News headline 

2.     Humour:  Yes ( 1) , No (0) 

3.     Mechanism: GP  ( Garden Path), RL ( Red Light) and CR ( Cross Road). These terms signify the three cognitive mechanisms of delivering humour. For detailed explanations, please refer to the Reference cited below. 

4.     Article Link 

5.     Image Link 


 



@article{dynel2012garden,


  title={Garden paths, red lights and crossroads: On finding our way to understanding the cognitive mechanisms underlying jokes},

  author={Dynel, Marta},

  journal={Israeli Journal of Humor Research},

  volume={1},

  number={1},

  pages={6--28},

  year={2012}

}
DOI: 10.5281/zenodo.10613207
title: melanotaenia_affinis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10613208
title: melanotaenia_affinis_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25127297
title: Irrigation area data

description: Netcdf used to generate Figure 1d in <b><i>The importance of irrigation for the accurate simulation of fog over northern India. </i></b>Values of 1 indicates irrigated and 0 indicates not irrigated in the netcdf. This is used to decide the area to increase soil moisture to saturation. The irrigated area is derived using the CCI land use data and a global irrigation water use dataset. A 1 is assigned to a grid point if it is identified as irrigated cropland in the CCI dataset and the irrigated water use for January is above 5 mm.
DOI: 10.34740/kaggle/dsv/7545558
title: World Important Events - Ancient to Modern
DOI: 10.5281/zenodo.10613221
title: alpinia_galanga_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10613222
title: alpinia_galanga_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24270577.v1
title: Code and data for "Submesoscale vertical heat transport at the Kuroshio Extension: Characteristics and mechanisms" By Chen et al. Submitted to Journal of Geophysical Research: Oceans.

description: This repository contains the code and data for the study of "Submesoscale vertical heat transport at the Kuroshio Extension: Characteristics and mechanisms”By Chen et al. Submitted to Journal of Geophysical Research: Oceans.Specifically, this repository contains the following items:(1) The code needed for spatial filtering to extract submesoscale component from https://www.mathworks.com/matlabcentral/fileexchange/41961-nanconv.(2) The code needed for assessing thecausality from multiple variables to submesoscale vertical heat transport. The original codes can be downloaded from http://www.ncoads.cn/article/show/63.aspx.(3) Data to produce the figures of the study.
DOI: 10.34740/kaggle/dsv/7545665
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/7545681
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10613251
title: kaempferia_rotunda_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10613252
title: kaempferia_rotunda_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25138565
title: Elastic Modulus Formulation of Recycled Aggregate Concrete

description: The dataset regarding the Recycled Aggregate Concrete is collected from several studies and laboratory testing results.
DOI: 10.6084/m9.figshare.25138634
title: Construction Projects Dataset

description: Construction projects data
DOI: 10.5281/zenodo.10544786
title: D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

description: As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.
DOI: 10.5281/zenodo.10544757
title: D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

description: As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.
DOI: 10.5281/zenodo.10544758
title: D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

description: As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.
DOI: 10.5281/zenodo.10612678
title: D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

description: As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.
DOI: 10.5281/zenodo.10613332
title: D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval of EGFR mutation-driven lung cancer

description: As key oncogenic drivers in non-small cell lung cancer (NSCLC), various mutations of epidermal growth factor receptor (EGFR) with variable drug sensitivities have been the major obstacle for precision medicine. For the purpose, we built a database, namely D3EGFRdb, with the clinicopathologic characteristics and drug responses of 1,339 patients harboring EGFR mutations via literature mining. Besides, we developed a deep learning-based prediction model, namely D3EGFRAI, for drug sensitivity prediction of new EGFR mutation-driven NSCLC. The D3EGFR contained functions above is freely accessible at https://www.d3pharma.com/D3EGFR/index.php.
DOI: 10.34740/kaggle/dsv/7545946
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10613312
title: LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes

description: Preprocessed publicly available event logs for the article "LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes".

 

AbstractResearch on developing techniques for predictive process monitoring has generally relied on feature encoding schemes that extract intracase features from events to make predictions. In doing so, the processing of cases is assumed to be solely influenced by the attributes of the cases themselves. However, cases are not processed in isolation and can be influenced by the processing of other cases or, more generally, the state of the process under investigation. In this work, we propose the LS-ICE (load state intercase encoding) framework for encoding intercase features that enriches events with a depiction of the state of relevant load points in a business process. To assess the benefits of the intercase features generated using the LS-ICE framework, we compare the performance of predictive process monitoring models constructed using the encoded features against baseline models without these features. The models are evaluated for remaining trace and runtime prediction using five real-life event logs. Across the board, a consistent improvement in performance is noted for models that integrate intercase features encoded through the proposed framework, as opposed to baseline models that lack these encoded features.
DOI: 10.5281/zenodo.10613313
title: LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes

description: Preprocessed publicly available event logs for the article "LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes".

 

AbstractResearch on developing techniques for predictive process monitoring has generally relied on feature encoding schemes that extract intracase features from events to make predictions. In doing so, the processing of cases is assumed to be solely influenced by the attributes of the cases themselves. However, cases are not processed in isolation and can be influenced by the processing of other cases or, more generally, the state of the process under investigation. In this work, we propose the LS-ICE (load state intercase encoding) framework for encoding intercase features that enriches events with a depiction of the state of relevant load points in a business process. To assess the benefits of the intercase features generated using the LS-ICE framework, we compare the performance of predictive process monitoring models constructed using the encoded features against baseline models without these features. The models are evaluated for remaining trace and runtime prediction using five real-life event logs. Across the board, a consistent improvement in performance is noted for models that integrate intercase features encoded through the proposed framework, as opposed to baseline models that lack these encoded features.
DOI: 10.5281/zenodo.10301339
title: FAµST misc data

description: FAµST miscellaneous data.
DOI: 10.5281/zenodo.10301338
title: FAµST misc data

description: FAµST miscellaneous data.
DOI: 10.5281/zenodo.10613259
title: FAµST misc data

description: FAµST miscellaneous data.
DOI: 10.5281/zenodo.10613337
title: FAµST misc data

description: FAµST miscellaneous data.
DOI: 10.6084/m9.figshare.25138679
title: Customer engagement in participant sports - The case of marathons (DATA SET).xlsx

description: Despite the growing recognition of customer engagement in academia and industry, its application in participant sports, particularly marathons, remains understudied. Utilizing social exchange theory and self-determination theory as guiding theoretical lenses and an online survey with 390 respondents comprising both physical and virtual marathon participants as a case, we identify challenge, enjoyment, mastery, socialization, status, weight, health and fitness, and mental wellbeing as key motivators driving customer engagement in participant sports. Findings reveal that engagement during marathons is cognitive, emotional, and behavioral, with word-of-mouth and re-participation intent emerging as the resultant outcomes.
DOI: 10.6084/m9.figshare.25138625.v1
title: Fig.1_Files

description: Files for Fig.1
DOI: 10.5281/zenodo.10612847
title: smoking,cessation and klotho

description: smoking, cessation and klotho
DOI: 10.5281/zenodo.10612848
title: smoking,cessation and klotho

description: smoking, cessation and klotho
DOI: 10.6084/m9.figshare.24201612.v2
title: Table_S12.xlsx

description: Table S1 Enrichment microcosms.Table S2 Genome information for metagenome-assembled genomes (MAGs) associated with the paper "Metagenome-assembled genomes from enrichment cultures grown on xenobiotic solvents".
DOI: 10.5517/ccdc.csd.cc2hkbyc
title: CCDC 2310583: Experimental Crystal Structure Determination

description: Related Article: Liwei Zhou, Pengyang Jing, Zhiwei Li, Rui Liu, Jiannan Chen, Guobo Deng, Yun Liang, Yuan Yang|2024|Org.Lett.|26|676|doi:10.1021/acs.orglett.3c04065
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e117142v2-145821
title: Data for "Who's Paying for the U.S. Tariffs? A Longer-Term Perspective"

description: Using data from 2018, a number of studies have found that recent U.S tariffs have been passed on entirely to U.S. importers and consumers. These results are surprising given that trade theory has long stressed that tariffs applied by a large country should drive down foreign prices. Using another year of data including significant escalations in the trade war, we find that U.S. tariffs continue to be almost entirely borne by U.S. firms and consumers. We show that the response of import values to the tariffs increases in absolute magnitude over time, consistent with the idea that it takes time for firms to reorganize supply chains. We find heterogeneity in the responses of some sectors, such as steel, where tariffs have caused foreign exporters to drop their prices substantially, enabling them to export relatively more than in sectors where tariff passthrough was complete.
DOI: 10.34683/sr493
title: StoneRounds Case: SR493
title: AR Stargardt Disease

description: StoneRounds Case SR493 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.6084/m9.figshare.24270577.v2
title: Code and data for "Submesoscale vertical heat transport at the Kuroshio Extension: Characteristics and mechanisms" By Chen et al. Submitted to Journal of Geophysical Research: Oceans.

description: This repository contains the code and data for the study of "Submesoscale vertical heat transport at the Kuroshio Extension: Characteristics and mechanisms”By Chen et al. Submitted to Journal of Geophysical Research: Oceans.Specifically, this repository contains the following items:(1) The code needed for spatial filtering to extract submesoscale component from https://www.mathworks.com/matlabcentral/fileexchange/41961-nanconv.(2) The code needed for assessing thecausality from multiple variables to submesoscale vertical heat transport. The original codes can be downloaded from http://www.ncoads.cn/article/show/67.aspx.(3) Data to produce the figures of the study.
DOI: 10.15468/dl.uhkuah
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achatina fulica Bowdich, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation)",
 "Country is one of (Trinidad and Tobago)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083645-240626123714530/datasets/export for details.
DOI: 10.15468/dl.h9qycn
title: Occurrence Download

description: A dataset containing 3143 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Aristotelia ericinella (Zeller, 1839)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3143 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083646-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evqahs
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083647-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24158487
title: Statement on Data and Code Sharing

description: All data generated or analyzed for the study are described in this article and/or its supplementary information file. All publicly available data sources are additionally described, linked, and provided for download at Zenodo at https://doi.org/10.5281/zenodo.12735115. All analysis can be recreated from the source data, and the final, processed data file for the township analysis is additionally provided.
DOI: 10.6084/m9.figshare.24158487.v1
title: Statement on Data and Code Sharing

description: All data generated or analyzed for the study are described in this article and/or its supplementary information file. All publicly available data sources are additionally described, linked, and provided for download at Zenodo at https://doi.org/10.5281/zenodo.12735115. All analysis can be recreated from the source data, and the final, processed data file for the township analysis is additionally provided.
DOI: 10.6084/m9.figshare.23659980
title: Resistance of ecosystem services to global change weakened by increasing number of environmental stressors

description: This dataset include 1,023 studies with 14,038 observations from six continents.
DOI: 10.6084/m9.figshare.23659980.v1
title: Resistance of ecosystem services to global change weakened by increasing number of environmental stressors

description: This dataset include 1,023 studies with 14,038 observations from six continents.
DOI: 10.15468/dl.pnvpj2
title: Occurrence Download

description: A dataset containing 548 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Coleophora kuehnella (Goeze, 1783)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 548 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083649-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24960708
title: Molecular Hydrogen in the N-doped LuH<sub>3&lt;\sub&gt; System as a Possible Path to Superconductivity</sub>

description: MD_data.tar.gz: Output file of the molecular dynamics calculations at 300K, corresponding to the results in Fig. 1b of the main paper.
LuHN_POSCARS.tar: Structural files (POSCAR) of the systems with 1 and 2 H2 molecules.
DOI: 10.6084/m9.figshare.24960708.v1
title: Molecular Hydrogen in the N-doped LuH<sub>3&lt;\sub&gt; System as a Possible Path to Superconductivity</sub>

description: MD_data.tar.gz: Output file of the molecular dynamics calculations at 300K, corresponding to the results in Fig. 1b of the main paper.
LuHN_POSCARS.tar: Structural files (POSCAR) of the systems with 1 and 2 H2 molecules.
DOI: 10.6084/m9.figshare.25674594
title: Transovarial transmission of Yersinia pestis in its flea vector, Xenopsylla cheopis

description: Microscopy images utilizing confocal fluorescence and transmission electron microscopy.
Whole genome sequencing data and PCR sequencing data confirming identity of transovarially transmitted Y. pestis
DOI: 10.6084/m9.figshare.25674594.v1
title: Transovarial transmission of Yersinia pestis in its flea vector, Xenopsylla cheopis

description: Microscopy images utilizing confocal fluorescence and transmission electron microscopy.
Whole genome sequencing data and PCR sequencing data confirming identity of transovarially transmitted Y. pestis
DOI: 10.6084/m9.figshare.24572833
title: Dry matter content and yield of Xushu18, Xu781, and the 500 F1 individuals

description: Dry matter content and yield of Xushu18, Xu781, and the 500 F1 individuals
DOI: 10.6084/m9.figshare.24572833.v1
title: Dry matter content and yield of Xushu18, Xu781, and the 500 F1 individuals

description: Dry matter content and yield of Xushu18, Xu781, and the 500 F1 individuals