cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v8eaf3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hiatula diphos",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010538-250914085247600/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.30146440.v1
title: Nothopassalora personata

description: Genome and annotation of Nothopassalora personata
DOI: 10.15468/dl.jacvcf
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physochlaina macrophylla",
 "Year 1970-2020"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010540-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssckcq
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nuttallia japonica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 114 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010544-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4k99b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010542-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7rcm3
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 133 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010541-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrugky
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 640 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010543-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/3384b915-3c9c-4e45-90c8-6be0d07c7ed1
title: Data accompanying Chapter 3 of the PhD Dissertation: Methanol Sprays in Marine Internal Combustion Engines: A Computational Fluid Dynamics Approach

description: <strong>Introduction</strong>This dataset contains the results and inputs files collected as part of the Chapter 3 in the doctoral thesis of Mr. Konstantinos Zoumpourlos, Dipl.-Ing in Delft University of Technology, 2022-2026.The present dataset is made public to act both as supplementary data for the publications of K. Zoumpourlos and to offer other researchers the ability to use this data in their own work.This data is part of the MENENS project (Methanol als Energiestap Naar Emissieloze Nederlandse Scheepvaart).The project is funded by the Netherlands Enterprise Agency (RVO: Rijksdienst voor Ondernemend Nederland) under the grant number MOB21012.<br><strong>Purpose of the dataset</strong>The purpose of these simulations is to recreate the spray formation in port fuel injection (PFI) environments in the context of marine engine conditions. The results replicated two experimental conditions from the literature using both high and low injection pressure.<br><strong>Description of the dataset</strong>Input files for the CFD baseline validation and 3 marine case study simulations conducted in CONVERGE-CFD 3.0.Additional mean-value 0D and 3D spatial data are included for the simulation cases.The validation cases are denoted by the zip file name including the injection pressure and the ambient pressure environment corresponding to each individual simulation case. Inside each directory, the input files (.dat and .in files), 0D results (text format .out files) and 3D results (text format .h5 files) are denoted by their respective directory names.<br><strong>Dependencies</strong>To open the simulation input files CONVERGE 3.0 is needed. However, for the inspection of the modelling constants, initial & boundary conditions, it is possible to use a text editor to read the inputs. The 0D simulation results can be opened using Excel, Matlab, or other table reading software. Lastly, the 3D output files can be accessed using any CFD post-processing software such as Paraview, Tecplot, etc.
DOI: 10.4121/3384b915-3c9c-4e45-90c8-6be0d07c7ed1.v1
title: Data accompanying Chapter 3 of the PhD Dissertation: Methanol Sprays in Marine Internal Combustion Engines: A Computational Fluid Dynamics Approach

description: <strong>Introduction</strong>This dataset contains the results and inputs files collected as part of the Chapter 3 in the doctoral thesis of Mr. Konstantinos Zoumpourlos, Dipl.-Ing in Delft University of Technology, 2022-2026.The present dataset is made public to act both as supplementary data for the publications of K. Zoumpourlos and to offer other researchers the ability to use this data in their own work.This data is part of the MENENS project (Methanol als Energiestap Naar Emissieloze Nederlandse Scheepvaart).The project is funded by the Netherlands Enterprise Agency (RVO: Rijksdienst voor Ondernemend Nederland) under the grant number MOB21012.<br><strong>Purpose of the dataset</strong>The purpose of these simulations is to recreate the spray formation in port fuel injection (PFI) environments in the context of marine engine conditions. The results replicated two experimental conditions from the literature using both high and low injection pressure.<br><strong>Description of the dataset</strong>Input files for the CFD baseline validation and 3 marine case study simulations conducted in CONVERGE-CFD 3.0.Additional mean-value 0D and 3D spatial data are included for the simulation cases.The validation cases are denoted by the zip file name including the injection pressure and the ambient pressure environment corresponding to each individual simulation case. Inside each directory, the input files (.dat and .in files), 0D results (text format .out files) and 3D results (text format .h5 files) are denoted by their respective directory names.<br><strong>Dependencies</strong>To open the simulation input files CONVERGE 3.0 is needed. However, for the inspection of the modelling constants, initial & boundary conditions, it is possible to use a text editor to read the inputs. The 0D simulation results can be opened using Excel, Matlab, or other table reading software. Lastly, the 3D output files can be accessed using any CFD post-processing software such as Paraview, Tecplot, etc.
DOI: 10.15468/dl.89deuz
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parotocinclus collinsae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010546-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/29e4a39f-b23d-4e77-bbc2-98cb79805311
title: Data accompanying Chapter 5 of the PhD Dissertation: Methanol Sprays in Marine Internal Combustion Engines: A Computational Fluid Dynamics Approach

description: <strong>Introduction</strong>This dataset contains the results and inputs files collected as part of the Chapter 5 in the doctoral thesis of Mr. Konstantinos Zoumpourlos, Dipl.-Ing in Delft University of Technology, 2022-2026.The present dataset is made public to act both as supplementary data for the publications of K. Zoumpourlos and to offer other researchers the ability to use this data in their own work.This data is part of the MENENS project (Methanol als Energiestap Naar Emissieloze Nederlandse Scheepvaart).The project is funded by the Netherlands Enterprise Agency (RVO: Rijksdienst voor Ondernemend Nederland) under the grant number MOB21012.<br><strong>Purpose of the dataset</strong>The purpose of these simulations is to recreate the spray formation for Engine Combustion Network (ECN) Spray D non-reacting experiment using n-dodecane as a diesel surrogate. The validated diesel injection model is converted for methanol injection accounting for marine dual-fuel engine conditions. The two sprays are compared based on their spray structure, evaporation and cooling effect using the CFD simulation results.<br><strong>Description of the dataset</strong>Input files for the CFD diesel baseline validation, methanol comparison case, and 6 additional case studies (equal energy and ambient temperature studies) conducted in CONVERGE-CFD 3.0.Additional mean-value 0D and 3D spatial data are included for the simulation cases.The validation cases are denoted by the zip file name including the fuel name, the injection pressure and the ambient temperature environment corresponding to each individual simulation case. Inside each directory, the input files (.dat and .in files), 0D results (text format .out files) and 3D results (text format .h5 files) are denoted by their respective directory names.<br><strong>Dependencies</strong>To open the simulation input files CONVERGE 3.0 is needed. However, for the inspection of the modelling constants, initial & boundary conditions, it is possible to use a text editor to read the inputs. The 0D simulation results can be opened using Excel, Matlab, or other table reading software. Lastly, the 3D output files can be accessed using any CFD post-processing software such as Paraview, Tecplot, etc.
DOI: 10.4121/29e4a39f-b23d-4e77-bbc2-98cb79805311.v1
title: Data accompanying Chapter 5 of the PhD Dissertation: Methanol Sprays in Marine Internal Combustion Engines: A Computational Fluid Dynamics Approach

description: <strong>Introduction</strong>This dataset contains the results and inputs files collected as part of the Chapter 5 in the doctoral thesis of Mr. Konstantinos Zoumpourlos, Dipl.-Ing in Delft University of Technology, 2022-2026.The present dataset is made public to act both as supplementary data for the publications of K. Zoumpourlos and to offer other researchers the ability to use this data in their own work.This data is part of the MENENS project (Methanol als Energiestap Naar Emissieloze Nederlandse Scheepvaart).The project is funded by the Netherlands Enterprise Agency (RVO: Rijksdienst voor Ondernemend Nederland) under the grant number MOB21012.<br><strong>Purpose of the dataset</strong>The purpose of these simulations is to recreate the spray formation for Engine Combustion Network (ECN) Spray D non-reacting experiment using n-dodecane as a diesel surrogate. The validated diesel injection model is converted for methanol injection accounting for marine dual-fuel engine conditions. The two sprays are compared based on their spray structure, evaporation and cooling effect using the CFD simulation results.<br><strong>Description of the dataset</strong>Input files for the CFD diesel baseline validation, methanol comparison case, and 6 additional case studies (equal energy and ambient temperature studies) conducted in CONVERGE-CFD 3.0.Additional mean-value 0D and 3D spatial data are included for the simulation cases.The validation cases are denoted by the zip file name including the fuel name, the injection pressure and the ambient temperature environment corresponding to each individual simulation case. Inside each directory, the input files (.dat and .in files), 0D results (text format .out files) and 3D results (text format .h5 files) are denoted by their respective directory names.<br><strong>Dependencies</strong>To open the simulation input files CONVERGE 3.0 is needed. However, for the inspection of the modelling constants, initial & boundary conditions, it is possible to use a text editor to read the inputs. The 0D simulation results can be opened using Excel, Matlab, or other table reading software. Lastly, the 3D output files can be accessed using any CFD post-processing software such as Paraview, Tecplot, etc.
DOI: 10.15468/dl.g4dbgt
title: Occurrence Download

description: A dataset containing 3563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen, Specimen, Fossil, Material citation, Material sample, Machine Observation)"
 ]
 }
 },
 "TaxonKey is Vicia faba",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 3563 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010548-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkpa7c
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nuttallia nuttallii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010549-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9c6tgw
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 690 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010550-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17142193
title: Kcat/Km prediction dataset
DOI: 10.5281/zenodo.17142192
title: Kcat/Km prediction dataset
DOI: 10.15468/dl.gha45p
title: Occurrence Download

description: A dataset containing 2652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2652 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010551-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6ybs3
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brunnera macrophylla",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1190 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010552-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4wm69
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cincelichthys bocourti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010554-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdtsqg
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physochlaina orientalis",
 "Year 1970-2020"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010553-250914085247600/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.30146122.v1
title: <b>Synthesis and Characterization of Boroxine-based COF-1 for CO</b><sub><strong>2</strong></sub><b> Capture</b>

description: In this experimental study, COF-1 was synthesized using a sonochemical method involving 1,4-benzene diboronic acid (BDBA). The molecular structure of the compounds in COF-1 is determined using Nuclear magnetic resonance (NMR) and Fourier-transform infrared spectroscopy (FTIR) methods. The surface structure was studied using analytical techniques, including Scanning Electron Microscopy (SEM) and Scanning Electron Microscopy – Energy Dispersive X-ray analysis (SEM-EDX). The Brunauer-Emmett-Teller (BET) method was adopted to find the pore size and outer surface area of COF-1. From these analyses, the synthesized COF-1 thus confirmed the formation of a highly porous and crystalline structure composed of boroxine-linked phenylene units. The experimental studies on CO₂ adsorption were conducted using a vertical fixed-bed adsorption column. From the experimental trials, the post-adsorption analysis indicated physisorption of CO₂, with no structural degradation of the COF-1 framework. The results from the experiments and testing COF-1 after the adsorption study shows COF-1 as an efficient adsorbent for CO₂ capture under ambient conditions.
DOI: 10.15468/dl.8e2rcu
title: Occurrence Download

description: A dataset containing 2820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nuttallia obscurata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 2820 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010555-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w925x6
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen, Specimen, Fossil, Material citation, Material sample, Machine Observation)"
 ]
 }
 },
 "TaxonKey is Chenopodium quinoa",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 139 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010556-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17142071
title: CMMR2025_RoomAmbisonics

description: Supplementary material for the paper "Where to Put That Microphone? A Study of Sound Localization in Ambisonics Recordings" in Proceedings of the 17th International Symposium on Computer Music Multidisciplinary Research: CMMR'25.
DOI: 10.4121/3a5923e1-bf6b-4825-bc43-2a73bb7006cd
title: Dataset for Multi-Sensor Analysis of Kinetics and Kinematics of Healthy Adults during Activities of Daily Living (ADL)

description: This dataset was collected to study the biomechanics of healthy adults during common Activities of Daily Living (ADLs). Data were acquired simultaneously from three wearable sensing systems:<br>- Inertial Measurement Units (IMUs), Movella MVN Link - Pressure insoles, Moticon - Force shoes, Xsens ForceShoe <br>In total, data from 6 healthy participants were recorded while performing the following movements: <br>- Timed Up and Go (TUG) Test- Free Walking (FW)- Stairs Ascending and Descending (SAD)- Treadmill Walking – Slow (TS)- Treadmill Walking – Fast (TF)<br>This multimodal dataset allows for the development and validation of algorithms for kinematic and kinetic analysis of human motion, with a focus on estimating ground reaction forces (GRF) using wearable sensors.
DOI: 10.4121/3a5923e1-bf6b-4825-bc43-2a73bb7006cd.v1
title: Dataset for Multi-Sensor Analysis of Kinetics and Kinematics of Healthy Adults during Activities of Daily Living (ADL)

description: This dataset was collected to study the biomechanics of healthy adults during common Activities of Daily Living (ADLs). Data were acquired simultaneously from three wearable sensing systems:<br>- Inertial Measurement Units (IMUs), Movella MVN Link - Pressure insoles, Moticon - Force shoes, Xsens ForceShoe <br>In total, data from 6 healthy participants were recorded while performing the following movements: <br>- Timed Up and Go (TUG) Test- Free Walking (FW)- Stairs Ascending and Descending (SAD)- Treadmill Walking – Slow (TS)- Treadmill Walking – Fast (TF)<br>This multimodal dataset allows for the development and validation of algorithms for kinematic and kinetic analysis of human motion, with a focus on estimating ground reaction forces (GRF) using wearable sensors.
DOI: 10.5281/zenodo.17142259
title: Abwassersurveillance AMELAG

description: Im Datensatz "Abwassersurveillance AMELAG" des Robert Koch-Instituts und Umweltbundesamts werden Daten aus der Überwachung von Infektionserregern im Abwasser bereitgestellt. Die Daten zur SARS-CoV-2-Viruslast werden seit Februar 2022 in einem bundesweiten Netzwerk von Kläranlagen, Laboren und Behörden erhoben. Seitdem wurden die Daten um die Viruslast weiterer respiratorischer Viren (Influenza A/B, RSV) ergänzt. Der Datensatz enthält neben Einzelwerten der Kläranlagen auch bevölkerungsgewichtete, aggregierte Zeitreihen. Darüber hinaus werden Auswertungsskripte als Kontextmaterialien bereitgestellt.
DOI: 10.25574/25216
title: Chandra X-ray Observatory ObsId 25216

description: A broad-band view of Extreme Mass Loss events from Evolved Massive Stars with Chandra+NuSTAR
DOI: 10.5281/zenodo.17142249
title: Microbial carbon-nitrogen limitation drives stoichiometric coupling in arid valley vegetation succession