cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12750435
title: Green MIR data table 2024

description: This dataset includes spreadsheets (in ms-excel and pdf formats) of the paper analyses presented in the 2024 ISMIR conference paper on the computational cost of music-Ai. Paper title: Green MIR? Investigating computational cost of recent music-Ai research in ISMIR
DOI: 10.5281/zenodo.12750436
title: Green MIR data table 2024

description: This dataset includes spreadsheets (in ms-excel and pdf formats) of the paper analyses presented in the 2024 ISMIR conference paper on the computational cost of music-Ai. Paper title: Green MIR? Investigating computational cost of recent music-Ai research in ISMIR
DOI: 10.15468/dl.9nzb42
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus marginata Sm."
 ]
}

 The dataset includes 2193 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032594-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5yzqj
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.40263 39.41455,-84.5397 36.63812,-85.1097 35.03845,-82.86648 33.71459,-76.81717 33.5491,-78.09741 39.84692,-78.94822 39.98872,-80.40263 39.41455))",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus chrotorrhinus (Miller, 1894)"
 ]
}

 The dataset includes 86 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032595-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/816
title: Data associated with "Salivary lubricity (ex vivo) enhances upon moderate exercise: A pilot study"

description: Raw data for all figures in the associated paper Salivary lubricity (ex vivo) enhances upon moderate exercise: A pilot study
DOI: 10.15468/dl.dsm2sx
title: Occurrence Download

description: A dataset containing 11697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus microcorys F.Muell."
 ]
}

 The dataset includes 11697 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032596-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27rxjy
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dactyladenia cinerea (Engl. ex De Wild.) Prance & F.White"
 ]
}

 The dataset includes 26 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032597-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/54f21f24-7ca7-41e3-b61e-24f838dcebf3.v1
title: MATLAB scripts of the paper "Efficient and accurate analysis of locally resonant acoustic metamaterial plates using computational homogenization"

description: The associated paper presents a 3D extension of the recently developed computational homogenization method for locally resonant acoustic metamaterial (LRAM) panels. The developed homogenization method provides a powerful computational tool for efficient and accurate analysis of LRAM panels of finite sizes and arbitrary shape under non-trivial excitations.<br>The method above is implemented in MATLAB and the provided MATLAB scripts include:1) Calculation of the frequency-independent dynamic effective material properties for a given 3D LRAM unit cell design. Finite element method is employed.2) Dispersion analysis of an infinite LRAM plate, using plane wave transformation.3) Frequency domain analysis of a finite LRAM plate, based on harmonic solution assumption. Isogeometric analysis is employed.4) Transient analysis of a finite LRAM plate. Isogeometric analysis is employed. Time integration is performed using Newmark method. 5) Application for the transient analysis of a large finite LRAM plate with a non-trivial non-harmonic excitation imposed. This analysis would be computationally prohibitive to perform by direct numerical simulation.Reference solutions for 2) by Bloch analysis in MATLAB and 3-4) by direct numerical simulations in COMSOL are given as well.
DOI: 10.5281/zenodo.12650753
title: Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene

description: This data publication is based on the metadata and datasets underlying the manuscript: "Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene "
DOI: 10.5281/zenodo.12650754
title: Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene

description: This data publication is based on the metadata and datasets underlying the manuscript: "Inductively heatable catalytic materials for the dehydrogenation of the liquid organic hydrogen carrier (LOHC) perhydro dibenzyltoluene "
DOI: 10.34740/kaggle/dsv/9010879
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.vt8ykz
title: Occurrence Download

description: A dataset containing 5135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus paniculata Sm."
 ]
}

 The dataset includes 5135 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032599-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/caaf49fe-a93a-454a-8b73-7f39cbdb815e
title: Research data supporting chapter 'SNN with Time-Varying Weights for Rail Squat Detection' of Dissertation 'AI Solutions for Maintenance Decision Support in Railway Infrastructure'

description: The data and codes were prepared and uploaded to 4TU.ResearchData by Wassamon Phusakulkajorn to support the results in Chapter 3 (SNN with Time-Varying Weights for Rail Squat Detection) of her dissertation. This chapter has been submitted for publication as Phusakulkajorn, W., Hendriks, J.M., Li, Z., Núñez, A., Spiking Neural Network with Time-Varying Weights for Rail Squat Detection. In this research, we develop a spiking neural network (SNN) with time-varying weights to detect rail surface defects, e.g., squats, of varying severity levels, using ABA measurements. This method aims to improve the detection accuracy of light squats, which present challenges due to their subtle, short-duration responses and typically a low percentage of appearance in ABA signals compared to healthy rails. Instead of using large network architecture, this work uses simple network architecture with no hidden layers to solve a complex spatiotemporal problem presented in early squat detection. The data used in this research contain four UCI benchmarks (Liver disorders, Breast cancer, Ionosphere, and Iris) and real-field ABA measurements from Dutch and Swedish railways. All implementations are done in MATLAB, where (.mat) files are analytical solutions and (.eps) and (.jpg) are figures used in the main manuscript.
DOI: 10.4121/caaf49fe-a93a-454a-8b73-7f39cbdb815e.v1
title: Research data supporting chapter 'SNN with Time-Varying Weights for Rail Squat Detection' of Dissertation 'AI Solutions for Maintenance Decision Support in Railway Infrastructure'

description: The data and codes were prepared and uploaded to 4TU.ResearchData by Wassamon Phusakulkajorn to support the results in Chapter 3 (SNN with Time-Varying Weights for Rail Squat Detection) of her dissertation. This chapter has been submitted for publication as Phusakulkajorn, W., Hendriks, J.M., Li, Z., Núñez, A., Spiking Neural Network with Time-Varying Weights for Rail Squat Detection. In this research, we develop a spiking neural network (SNN) with time-varying weights to detect rail surface defects, e.g., squats, of varying severity levels, using ABA measurements. This method aims to improve the detection accuracy of light squats, which present challenges due to their subtle, short-duration responses and typically a low percentage of appearance in ABA signals compared to healthy rails. Instead of using large network architecture, this work uses simple network architecture with no hidden layers to solve a complex spatiotemporal problem presented in early squat detection. The data used in this research contain four UCI benchmarks (Liver disorders, Breast cancer, Ionosphere, and Iris) and real-field ABA measurements from Dutch and Swedish railways. All implementations are done in MATLAB, where (.mat) files are analytical solutions and (.eps) and (.jpg) are figures used in the main manuscript.
DOI: 10.34740/kaggle/dsv/9010889
title: BBC Burmese News rss
DOI: 10.15468/dl.ypqhm4
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Prosopis glandulosa Torr."
 ]
}

 The dataset includes 154 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032601-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2wy7u
title: Occurrence Download

description: A dataset containing 17666 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus pauciflora Sieber ex Spreng."
 ]
}

 The dataset includes 17666 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032600-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/43b96757-fd3f-4e89-b9ac-e0caad30f0f0
title: Research data supporting chapter 'A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data' of dissertation 'AI Solutions for Maintenance Decision Support in Railway Infrastructure'

description: The data and codes were prepared and uploaded to 4TU.ResearchData by Wassamon Phusakulkajorn to support the results in Chapter 5 (A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data) of her dissertation. This chapter has been submitted for publication as Phusakulkajorn, W., Unsiwilai, S., Chang, L., Núñez, A., Li, Z., A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones with Multiple Data Sources. In this research, we develop a framework that enables a more frequent evaluation of transition zone health by integrating multiple monitoring technologies, including track geometry measurements, interferometric synthetic aperture radar (InSAR), and axle box acceleration (ABA). This aims to improve an early detection capability for track irregularities. The data used in this research contain ABA, track geometry, InSAR measurements at transitions zone collected from a railway bridge between Dordrecht and Lage Zwaluwe station in the Netherlands. All implementations are done in MATLAB, where (.mat) files are analytical solutions and (.eps) and (.jpg) are figures used in the main manuscript.
DOI: 10.15468/dl.zqpkjh
title: Occurrence Download

description: A dataset containing 246655 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Coprinopsis cinerea (Schaeff.) Redhead, Vilgalys & Moncalvo, Irpex consors Berk., Fomes fomentarius (L.) Fr., Fomitopsis pinicola (Sw.) P.Karst., Grifola gargal Singer, Hericium coralloides (Scop.) Pers., Dinoroseobacter shibae Biebl et al., 2005, Adelphobates castaneoticus (Caldwell & Myers, 1990), Adelphobates galactonotus (Steindachner, 1864), Afrixalus dorsalis (Peters, 1875))"
 ]
}

 The dataset includes 246655 records from 657 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032593-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/43b96757-fd3f-4e89-b9ac-e0caad30f0f0.v1
title: Research data supporting chapter 'A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data' of dissertation 'AI Solutions for Maintenance Decision Support in Railway Infrastructure'

description: The data and codes were prepared and uploaded to 4TU.ResearchData by Wassamon Phusakulkajorn to support the results in Chapter 5 (A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data) of her dissertation. This chapter has been submitted for publication as Phusakulkajorn, W., Unsiwilai, S., Chang, L., Núñez, A., Li, Z., A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones with Multiple Data Sources. In this research, we develop a framework that enables a more frequent evaluation of transition zone health by integrating multiple monitoring technologies, including track geometry measurements, interferometric synthetic aperture radar (InSAR), and axle box acceleration (ABA). This aims to improve an early detection capability for track irregularities. The data used in this research contain ABA, track geometry, InSAR measurements at transitions zone collected from a railway bridge between Dordrecht and Lage Zwaluwe station in the Netherlands. All implementations are done in MATLAB, where (.mat) files are analytical solutions and (.eps) and (.jpg) are figures used in the main manuscript.
DOI: 10.6084/m9.figshare.26348779
title: <b>XeroGraph - Test dataset</b>

description: Dataset used to test XeroGraph. https://github.com/kazilab/XeroGraph
DOI: 10.6084/m9.figshare.25734288
title: Dopamine neurons encode trial-by-trial subjective reward value in an auction-like task; Data and code

description: Personal choices fluctuate from moment to moment and thus reflect instantaneous subjective reward value. Owing to the constaints of choice-based tasks, there is no direct evidence documenting the neural basis of moment-to-moment changes in subjective value. The well-established Becker-DeGroot-Marschak (BDM) auction-like mechanism, allows participants to place bids that reveal their true subjective reward value on a trial-by-trial basis; untruthful bidding results in suboptimal reward (‘incentive compatibility’). In our experiment, male rhesus monkeys trained for several years to accurately place BDM bids for juice rewards without specific external constraints. Their bids for physically identical rewards varied from trial to trial with higher bids for larger reward amounts. In these highly experienced animals, responses of midbrain dopamine neurons reflected the trial-by-trial variations of bids despite constant, explicitly predicted reward amounts. Conversely, dopamine responses for similar bids were statistcally identical even for different physical reward amounts. Support Vector Regression accurately predicted animals' bids using as few as twenty dopamine neurons. Thus, phasic dopamine reward signals reflect instantaneous subjective reward value.
DOI: 10.15468/dl.d9yxtk
title: Occurrence Download

description: A dataset containing 11674 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus polyanthemos Schauer"
 ]
}

 The dataset includes 11674 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032602-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9rj2f
title: Occurrence Download

description: A dataset containing 11657 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((13.0373 47.62884,13.03431 47.60014,13.05864 47.60123,13.05879 47.63037,13.0373 47.62884))"
 ]
}

 The dataset includes 11657 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032603-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqkg4g
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus pumila Cambage"
 ]
}

 The dataset includes 250 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032604-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx2pdp
title: Occurrence Download

description: A dataset containing 3662415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample, Material citation, Occurrence evidence, Living Specimen)",
 "Continent is Europe",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 3662415 records from 4719 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032598-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.g1a1.idwm
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-1200_MY-400_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.34658/rdb.5secch/2fuqb8
title: Agrim_10x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/8o5jvj
title: SH-6_1x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/cnu2h3
title: Agrim_100x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/grmfvh
title: KE2_1x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/l8sswi
title: KE2_1x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/o7sxol
title: KE2_1x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/oyad8x
title: KE2_10x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/sos3s6
title: Agrim_100x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/tzltj1
title: Agrim_10x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/uxolo7
title: KE2_10x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/v40tca
title: KE2_10x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/6bcir0
title: LC_10x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/cisfge
title: LC_100x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/cxyv8n
title: LC_10x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/ekleyh
title: SH-6_100x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/k0166i
title: SH-6_10x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/nzqlsj
title: LC_100x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/sqwzyd
title: SH-6_10x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/xdlg6n
title: LC_1x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/xitzdl
title: LC_1x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/zklocb
title: SH-6_10x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/5ndwjt
title: LC_10x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/6fcf1w
title: SH-6_1x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/7bqa3h
title: ExETT2_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/7mxtuy
title: LC_1x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/adgedl
title: LC_100x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/drcze8
title: SH-6_1x_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/hripta
title: ExETM3_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/iinqfb
title: SH-6_100x_1-1fa_1iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/qhn0yk
title: ExETM1_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/tdlkb2
title: SH-6_100x_1-1fa_5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.34658/rdb.5secch/z9xb4c
title: ExETT1_1-1fa_2,5iv.rar

description: Data requires unpacking the *.rar file To view chromatographic data, Xcalibur software (Thermo Scientific) is required.
DOI: 10.7483/opendata.cms.kful.pzt3
title: /NMSSM_XToYHTo2G2ZTo2G4Q_MX-1200_MY-500_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM