cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7996746
title: Intensification of Pacific TIWs

description: The repository includes four files (three in .zip). One is the Matlab code (.m) for the shallow water diagnostic model for the TIW (tropical instability waves) surface velocity from altimeter SSH (sea surface heigh). One is the input data (.mat) for the diagnostic model. One is the estimated TIW intensity from four datasets (.mat), including altimeter-derived EKE (eddy kinetic energy) (1993-2021), in situ mooring-observed EKE (1980s-2020), high-resolution ocean model simulated EKE (1958-2021), and satellite-observed variance of SST (sea surface temperature) meridional gradient (1982-2021). The TIW-associated variability is defined as 60-day and 3000-km high-pass filterred with only westward wavenumbers retained. The EKE and variance of SST meridional gradient are averaged annually from June to February. Last is the analysis code in Matlab.
DOI: 10.5281/zenodo.7996874
title: Pac_TIW_Intensification

description: The repository includes three files (two in .zip). One is the Matlab code (.m) for the shallow water diagnostic model which estimates the TIW (tropical instability waves) surface velocity from altimeter SSH (sea surface heigh). One is the input data (.mat) for the diagnostic model, including high-pass filterred SSH and low-frequency zonal current. Last is the analysis code in Matlab for each figure.
DOI: 10.5281/zenodo.7996701
title: Pac_TIW_Intensification

description: The repository provides Matlab codes (.m) and data (.mat) for a revised (Review round1) manuscript, "Intensification of Pacific Tropical Instability Waves over the recent three decades". They includes codes and data for each figures (5 main and 9 extended data figures, and 3 figures in Reply to Review), and also a diagnostic model for equatorial surface currents.
DOI: 10.5281/zenodo.8337128
title: Pac_TIW_Intensification

description: The repository provides Matlab codes (.m) and data (.mat) for a revised (Review round1) manuscript, "Intensification of Pacific Tropical Instability Waves over the recent three decades". They includes codes and data for each figures (5 main and 9 extended data figures, and 3 figures in Reply to Review), and also a diagnostic model for equatorial surface currents.
DOI: 10.4121/545f8ead-235a-4eb6-8f32-aebb030dbbad
title: Supplementary data for the paper 'Can ChatGPT pass high school exams on English language comprehension?'

description: Launched in late November 2022, ChatGPT, a large language model chatbot, has garnered considerable attention. However, ongoing questions remain regarding its capabilities. In this study, ChatGPT was used to complete national high school exams in the Netherlands on the topic of English reading comprehension. In late December 2022, we submitted the exam questions through the ChatGPT web interface (GPT-3.5). According to official norms, ChatGPT achieved a mean grade of 7.3 on the Dutch scale of 1 to 10—comparable to the mean grade of all students who took the exam in the Netherlands, 6.99. However, ChatGPT occasionally required re-prompting to arrive at an explicit answer; without these nudges, the overall grade was 6.5. In March 2023, API access was made available, and a new version of ChatGPT, GPT-4, was released. We submitted the same exams to the API, and GPT-4 achieved a score of 8.3 without a need for re-prompting. Additionally, employing a bootstrapping method that incorporated randomness through ChatGPT’s ‘temperature’ parameter proved effective in self-identifying potentially incorrect answers. Finally, a re-assessment conducted with the GPT-4 model updated as of June 2023 showed no substantial change in the overall score. The present findings highlight significant opportunities but also raise concerns about the impact of ChatGPT and similar large language models on educational assessment.
DOI: 10.4121/545f8ead-235a-4eb6-8f32-aebb030dbbad.v1
title: Supplementary data for the paper 'Can ChatGPT pass high school exams on English language comprehension?'

description: Launched in late November 2022, ChatGPT, a large language model chatbot, has garnered considerable attention. However, ongoing questions remain regarding its capabilities. In this study, ChatGPT was used to complete national high school exams in the Netherlands on the topic of English reading comprehension. In late December 2022, we submitted the exam questions through the ChatGPT web interface (GPT-3.5). According to official norms, ChatGPT achieved a mean grade of 7.3 on the Dutch scale of 1 to 10—comparable to the mean grade of all students who took the exam in the Netherlands, 6.99. However, ChatGPT occasionally required re-prompting to arrive at an explicit answer; without these nudges, the overall grade was 6.5. In March 2023, API access was made available, and a new version of ChatGPT, GPT-4, was released. We submitted the same exams to the API, and GPT-4 achieved a score of 8.3 without a need for re-prompting. Additionally, employing a bootstrapping method that incorporated randomness through ChatGPT’s ‘temperature’ parameter proved effective in self-identifying potentially incorrect answers. Finally, a re-assessment conducted with the GPT-4 model updated as of June 2023 showed no substantial change in the overall score. The present findings highlight significant opportunities but also raise concerns about the impact of ChatGPT and similar large language models on educational assessment.
DOI: 10.6084/m9.figshare.23546334.v1
title: Oven Design for In-situ thermal extraction of volatiles from lunar regolith

description: A 3D finite element model of a cylindrical oven for volatile extraction from lunar regolith is developed. Our model provides an efficient method for designing instruments for volatile extraction on the Moon.
DOI: 10.6084/m9.figshare.21386430.v3
title: Data

description: Median and 90th percentile of temperature range and difference in biological rates for each temporal window (quarter-diurnal, semi-diurnal, diurnal, weekly, bi-weekly, monthly and annual) at each of the 490 locations in the ocean variability paper. Details about these 490 locations are also provided, such as time spans, coordinates, and depths.temp range - 19 Mar 2023_with_spatial_blockstemp range annual - 19 Mar 2023_with_spatial_blocksbr diff e063 - 19 Mar 2023_with_spatial_blocksbr diff e063 annual - 19 Mar 2023_with_spatial_blocksMedian and 90th percentile of temperature range and difference in biological rates, as above, but for the sensitivity tests. temp range greater than 3 years - 19 Mar 23br diff e063 more than 3 years - 19 Mar 23br diff e063 annual conservative more than 3 years - 19 Mar 23br diff e063 annual conservative - 19 Mar 2023br diff e063 conservative more than 3 years - 19 Mar 23temp range conservative more than 3 years - 19 Mar 23temp range annual Conservative more than 3 years - 19 Mar 23temp range annual more than 3 years - 19 Mar 23br diff e063 annual more than 3 years - 19 Mar 23temp range annual Conservative - 19 Mar 2023temp range conservative - 19 Mar 2023br diff e063 conservative - 19 Mar 2023Sample time series in Fig. 1 of the paper used.plot_id_65bplot_id_98plot_id_286plot_id_380plot_id_413plot_id_454<br><br>
DOI: 10.6084/m9.figshare.24125949
title: Supplementary Material for: Assessing the Acceptability of Less Invasive Caries Removal Techniques for treating Deep Carious Lesions: A Conjoint Survey among Dentists Practicing in a Midwestern American State”

description: Background: This study identified factors that influence dentists’ decisions regarding less invasive caries removal techniques such as stepwise removal (SW) and selective removal (SE) using a marketing research technique, conjoint analysis. Methods: A survey was sent to 1,434 dentists practicing in Iowa. Dentists were randomly assigned to receive a questionnaire to rate the likelihood they would use either SW/SE in hypothetical clinical scenarios. The scenarios were carefully created by conjoint design and included three relevant attributes: depth of lesion, hardness of carious dentin and patient age. Descriptive and conjoint analysis were performed to assess trade-offs between these attributes, using SPSS Results: The study revealed that depth of lesion was the most important factor in dentists’ decisions (49 importance value) when choosing a SW to treat a deep carious lesion (DCL), followed by hardness of carious dentin and patient age (21 importance value). For the SE-group, depth of the lesion was also the predominant factor when selecting a treatment. The study also identified that a high proportion of dentists (24.9%) indicated they would never consider using SW or SE under any circumstances. Conclusions: Our survey showed that depth of lesion was the most important reason to select a less invasive caries removal method. The high proportion of dentists indicating they would never consider selective caries removal techniques suggests that these less invasive options are underutilized.
DOI: 10.5281/zenodo.8337802
title: EAC AARG Survey 2023

description: This dataset contains the anonymised responses and basic analysis of responses to the survey of archaeological and heritage management professionals specialising in remote sensing, carried out in 2023 by the joint Working Party of the European Archaeological Consilium, Aerial Archaeology Research Group, and International Society for Archaeological Prospection. The survey questions, included in the dataset, focussed on the skills, capacities and resources available in the remote sensing professional community and assessments of future needs.
DOI: 10.5281/zenodo.8337801
title: EAC AARG Survey 2023

description: This dataset contains the anonymised responses and basic analysis of responses to the survey of archaeological and heritage management professionals specialising in remote sensing, carried out in 2023 by the joint Working Party of the European Archaeological Consilium, Aerial Archaeology Research Group, and International Society for Archaeological Prospection. The survey questions, included in the dataset, focussed on the skills, capacities and resources available in the remote sensing professional community and assessments of future needs.
DOI: 10.21942/uva.17104532
title: Testing and Interpreting Latent Variable Interactions using the semTools package

description: These data were used in a tutorial article, which cites the source of the data. The data are also publicly posted on the OSF: https://osf.io/grwn2/ <br> To access the dataset, please follow the link under references, or copy the link from here: <br> https://rdx.lab.surf.nl/access/10.21942/uva.17104532.v1
DOI: 10.21942/uva.17104532.v1
title: Testing and Interpreting Latent Variable Interactions using the semTools package

description: These data were used in a tutorial article, which cites the source of the data. The data are also publicly posted on the OSF: https://osf.io/grwn2/ <br> To access the dataset, please follow the link under references, or copy the link from here: <br> https://rdx.lab.surf.nl/access/10.21942/uva.17104532.v1
DOI: 10.21942/uva.17129309
title: WHO data: frequently asked questions about COVID-19

description: In connection with these unfortunate corona times, I have composed a relevant dataset. Namely, one from World Health Organization (WHO). There is a page on the WHO website which provides answers to frequently asked questions about the coronavirus. This is exactly the type of data which is suitable for a chatbot. The dataset we collected contains 86 possible answers to various topics regarding the coronavirus (including “What is a coronavirus” and “What are the symptoms of COVID-19”). The relevant data set and code are available at the corresponding GitHub page. <br>- The link to this GitHub page can be found under references.- The link to the blog about the Chatbot based on this dataset can also be found under references.<br>
DOI: 10.21942/uva.17129309.v1
title: WHO data: frequently asked questions about COVID-19

description: In connection with these unfortunate corona times, I have composed a relevant dataset. Namely, one from World Health Organization (WHO). There is a page on the WHO website which provides answers to frequently asked questions about the coronavirus. This is exactly the type of data which is suitable for a chatbot. The dataset we collected contains 86 possible answers to various topics regarding the coronavirus (including “What is a coronavirus” and “What are the symptoms of COVID-19”). The relevant data set and code are available at the corresponding GitHub page. <br>- The link to this GitHub page can be found under references.- The link to the blog about the Chatbot based on this dataset can also be found under references.<br>
DOI: 10.34740/kaggle/dsv/6458116
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.8208135
title: SPEChpc 2021 Benchmarks: A Performance and Energy Case Study

description: SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids based Infiniband Clusters: A Performance and Energy Case Study.
description: This research was partly supported by the Competence Network for Scientific High-Performance Computing in Bavaria (KONWIHR) under project ``OMI4Papps.''
DOI: 10.5281/zenodo.8208134
title: SPEChpc 2021 Benchmarks: A Performance and Energy Case Study

description: SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids based Infiniband Clusters: A Performance and Energy Case Study.
description: This research was partly supported by the Competence Network for Scientific High-Performance Computing in Bavaria (KONWIHR) under project ``OMI4Papps.''
DOI: 10.5281/zenodo.8337939
title: SPEChpc 2021 Benchmarks: A Performance and Energy Case Study

description: SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids based Infiniband Clusters: A Performance and Energy Case Study.
description: This research was partly supported by the Competence Network for Scientific High-Performance Computing in Bavaria (KONWIHR) under project ``OMI4Papps.''
DOI: 10.25345/c55q4rx20
title: MassIVE MSV000092838 - 230908 CB samples ammonium formate GNPS-MassIVE
title: 230908 CB samples ammonium formate GNPS-MassIVE 230908 CB samples ammonium formate GNPS-MassIVE 230908 CB samples ammonium formate GNPS-MassIVE
DOI: 10.34740/kaggle/ds/3729162
title: Drone Camera Image Dataset of Agriculture Fields
DOI: 10.6084/m9.figshare.23605317
title: Large-scale controls on the leaf economic spectrum of a single species

description: Canopy traits for Metrosideros polymorpha across Hawaii Island.
DOI: 10.6084/m9.figshare.23605317.v1
title: Large-scale controls on the leaf economic spectrum of a single species

description: Canopy traits for Metrosideros polymorpha across Hawaii Island.
DOI: 10.4121/a36d438a-95b5-440f-9e3d-cb526d2d6562
title: Supplementary data for the paper: A mesoscopic model for inter-yarn friction.

description: This dataset contains supplementary data to a journal paper entitled: 'A mesoscopic model for inter-yarn friction'. Three pairs of yarn-yarn contact: T300J-T300J, IM7-T300J, and Eglass-T300J were performed using a CERT-UMT machine at the University of Twente. The experiments were performed to investigate the influences of the inter-yarn angle and normal force on the friction behavior of the yarns. In this experiment, the dry and wet conditions were tested. Inversely determined capillary forces are exported. The scripts used to fit the proposed model to the experimental data of the capillary force are included. The raw friction data and the dynamic coefficient of friction are provided. An anisotropic friction model was developed to accurately represent the interplay of inter-yarn angle, normal force, and capillary effects observed in the experiments. This friction model is well-suited for mesoscale simulations, such as overbraiding simulations.
DOI: 10.4121/a36d438a-95b5-440f-9e3d-cb526d2d6562.v1
title: Supplementary data for the paper: A mesoscopic model for inter-yarn friction.

description: This dataset contains supplementary data to a journal paper entitled: 'A mesoscopic model for inter-yarn friction'. Three pairs of yarn-yarn contact: T300J-T300J, IM7-T300J, and Eglass-T300J were performed using a CERT-UMT machine at the University of Twente. The experiments were performed to investigate the influences of the inter-yarn angle and normal force on the friction behavior of the yarns. In this experiment, the dry and wet conditions were tested. Inversely determined capillary forces are exported. The scripts used to fit the proposed model to the experimental data of the capillary force are included. The raw friction data and the dynamic coefficient of friction are provided. An anisotropic friction model was developed to accurately represent the interplay of inter-yarn angle, normal force, and capillary effects observed in the experiments. This friction model is well-suited for mesoscale simulations, such as overbraiding simulations.
DOI: 10.21942/uva.16831579
title: RDX Demo

description: This dataset contains random data, that is only for the purpose of demoing a new project named RDX.
DOI: 10.21942/uva.16831579.v1
title: RDX Demo

description: This dataset contains random data, that is only for the purpose of demoing a new project named RDX.
DOI: 10.5517/ccdc.csd.cc2c1hb8
title: CCDC 2176179: Experimental Crystal Structure Determination

description: Related Article: Lukas Lohmeyer, Marco Werr, Elisabeth Kaifer, Hans‐Jörg Himmel|2022|Chem.-Eur.J.|28|e202201789|doi:10.1002/chem.202201789
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: 10.15468/dl.xfz6ma
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitrephora glabra Scheff."
 ]
}

 The dataset includes 129 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057146-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf4phx
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muraltia orbicularis Hutch."
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057147-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amjbmu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megistostigma peltatum (J.J.Sm.) Croizat"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057148-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdy9p2
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Memecylon virescens Hook.fil."
 ]
}

 The dataset includes 406 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057149-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dt6sk
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitrephora grandiflora Bedd."
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057150-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njvspb
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muraltia origanoides C.Presl"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057151-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8rbvm
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megistostigma yunnanense Croizat"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057152-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svky4c
title: Occurrence Download

description: A dataset containing 17792 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cacicus chrysonotus (Lafresnaye & Orbigny, 1838)"
 ]
}

 The dataset includes 17792 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057153-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkf2qr
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Memecylon viride Hutch. & Dalziel"
 ]
}

 The dataset includes 208 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057154-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4awc7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitrephora harae H.Ohashi"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057155-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ke6dh
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muraltia oxysepala Schltr."
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057156-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zh35c
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphastos swainsonii Gould, 1833"
 ]
}

 The dataset includes 57 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057158-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpykq2
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meineckia acuminata (Verdc.) Jean F.Brunel"
 ]
}

 The dataset includes 26 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057157-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.