cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24864243.v2
title: A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation

description: Brain-computer interfaces (BCIs) realize the information transmission between the brain and the external world. Visual evoked potential (VEP) based BCIs have gained widespread attention in the field of multi-instruction interaction attributed to their high information transfer rate (ITR). However, improving the ITR and the practicability is challenging for existing VEP based BCIs due to factors such as the encoding efficiency and the calibration time. Therefore, to address this issue, this study proposed a new encoding method employing narrow-band random sequences and provided a large dataset for VEP based brain-computer interfaces. Narrow-band random sequences are random sequences with a specific frequency band. The dataset encompasses three paradigms that employ three kinds of encoding sequences: narrow-band sequences with a frequency band of 15~25 Hz (NBRS-15), narrow-band random sequences with a frequency band of 8~16 Hz (NBRS-8), and sequences utilizing joint frequency-phase modulation method with a frequency range of 8-15.8 Hz (JFPM-8). The dataset includes 59-channel electroencephalogram (EEG) data for 100 subjects, and the quality of the dataset is validated through quantitative analyses on EEG characteristics and classification performance.
DOI: 10.48420/24087921
title: Scanning Electron Microscope data of UOCs for PhD Thesis "Investigation of the water abundance and H-isotope composition of unequilibrated ordinary chondrites"

description: Scanning Electron Microscope (SEM) data of unequilibrated ordrinary chondrites (UOCs), divided into separate folders for each individual sample. Folders are subdivided and contain:BSE_Overview.bmp - A backscattered electron (BSE) image of the whole UOC sample[<i>NAME</i>]_[<i>ELEMENT</i>].bmp - Individual X-ray maps for each element across the whole sampleMatrix - Folder containing higher resolution BSE and X-ray maps of potential fine-grained matrix regions. Areas are numbered. In some cases may also contain:[<i>NAME</i>].pptx - A powerpoint file with individual matrix regions which have had energy dispersive spectrum (EDS) analysis on them. Regions of matrix are labelled with mineral compositions.[<i>NAME</i>] numbered.png - A BSE image of the whole UOC sample with numbered representing the fine-grained matrix regions found in the 'Matrix' folder.After SIMS - A folder containing BSE images of areas which have undergone secondary ion mass spectrometry (SIMS) analysis but not yet been repolished. Regions of SIMS can be clearly identified by their lack of gold coating. Within this folder there may also be[<i>NAME</i>] numbered.png/.xcf - An image or GIMP file showing the locations of SIMS measurements across the whole sample.Normalised - Folder containing X-ray maps for the whole sample normalised to look like heat maps (only a few samples have this folder).Some samples will not contain all of the above folders if they were falls or did not contain much fine-grained material and therefore did not undergo further analysis than initial observations.
DOI: 10.48420/24087753
title: Bulk mineralogy, water abundance, and hydrogen isotope composition of unequilibrated ordinary chondrites Supplementary Data

description: Supplementary data to the paper: 'Bulk mineralogy, water abundance, and hydrogen isotope composition of unequilibrated ordinary chondrites' (https://doi.org/10.1111/maps.14041). Included in this folder is:Raw_IRMS_data.xlsx - Data file containing the raw isotope ratio mass spectrometry (IRMS) data, including standards.RAW_XRD_data.xlsx - Data file containing the raw X-ray diffraction spectral data.IRMS_refdata (.ods and .xlsx) - Data file containing the IRMS data, alongside reference data and calculations of matrix H<sub>2</sub>O contents.Plots - Folder containing (where available) interactive plots<br>
DOI: 10.48420/24087753.v1
title: Bulk mineralogy, water abundance, and hydrogen isotope composition of unequilibrated ordinary chondrites Supplementary Data

description: Supplementary data to the paper: 'Bulk mineralogy, water abundance, and hydrogen isotope composition of unequilibrated ordinary chondrites' (https://doi.org/10.1111/maps.14041). Included in this folder is:Raw_IRMS_data.xlsx - Data file containing the raw isotope ratio mass spectrometry (IRMS) data, including standards.RAW_XRD_data.xlsx - Data file containing the raw X-ray diffraction spectral data.IRMS_refdata (.ods and .xlsx) - Data file containing the IRMS data, alongside reference data and calculations of matrix H<sub>2</sub>O contents.Plots - Folder containing (where available) interactive plots<br>
DOI: 10.5281/zenodo.10556263
title: Characterization of monomers by NMR
DOI: 10.5281/zenodo.10556264
title: Characterization of monomers by NMR
DOI: 10.5281/zenodo.10555109
title: Metagenomic assemblies of CRISPR-Cas systems from the human gut

description: Metagenomic assemblies of CRISPR-Cas systems from the human gut.The assemblies were obtained by running CasColloect on the metagenomes of the HMP2-IBD (ibdmdb.org) and annotated with CRISPRCasTyper.

For technical details, see:

Lopez-Beltran A, Botelho J, Iranzo J. (2024) Dynamics of CRISPR-mediated virus-host interactions in the human gut microbiome.
DOI: 10.5281/zenodo.10555110
title: Metagenomic assemblies of CRISPR-Cas systems from the human gut

description: Metagenomic assemblies of CRISPR-Cas systems from the human gut.The assemblies were obtained by running CasColloect on the metagenomes of the HMP2-IBD (ibdmdb.org) and annotated with CRISPRCasTyper.

For technical details, see:

Lopez-Beltran A, Botelho J, Iranzo J. (2024) Dynamics of CRISPR-mediated virus-host interactions in the human gut microbiome.
DOI: 10.34740/kaggle/dsv/7463897
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.25047374
title: ECKSA_AUS_2021.txt

description: Genotypic data (8 loci) of 35 populations of Ecklonia maxima and Ecklonia radiata from South Africa and Australia
DOI: 10.6084/m9.figshare.25047374.v1
title: ECKSA_AUS_2021.txt

description: Genotypic data (8 loci) of 35 populations of Ecklonia maxima and Ecklonia radiata from South Africa and Australia
DOI: 10.5281/zenodo.10556150
title: YUTO MMS Dataset, Sequence C, Lidar Data, Part1
DOI: 10.5281/zenodo.10556151
title: YUTO MMS Dataset, Sequence C, Lidar Data, Part1
DOI: 10.17632/k38sfd28py.1
title: A customizable digital holographic microscope

description: We propose a low-cost, compact, and portable holographic microscope designed for the characterization of micrometric particles suspended in a liquid. 
This system is built around a commercial optical microscope by substituting its illumination source (a light-emitting diode) with a collimated laser beam. Similarly, a quartz flow cell replaces the microscope glass slide using 3D-printed custom mounting.
With the hardware presented in this paper, the holographic imaging of the electromagnetic fields emitted by the objects that intercept the laser beam achieves a resolution close to that achieved with optical microscopes, but with a much larger depth of field.
Once a hologram is recorded, a variety of morphological and optical features, including particle projected section, aspect ratio, and extinction cross-section can be extracted.
Additionally, we introduce a remote system control that enables users to process the acquired holograms to a remote computational device. 
This work encompasses a comprehensive description of the methodology of the image processing in holographic microscopy, and a series of validation measurements conducted using calibrated particles. This technique is suitable for the characterization of airborne particles found in snow, firn and ice; here we report experimental results obtained from Alpine ice cores.

We include the 3d printer design files, the Holography tutorial in jupyter, and the files to control remotely the camera, the Pycamera project in python
DOI: 10.6084/m9.figshare.25012376.v1
title: Supplementary Material for: Bilateral Vitiligo-Like Depigmentation of Choroid and Retinal Pigment Epithelium Associated with Ipilimumab-Nivolumab Therapy for Metastatic Cutaneous Melanoma: Case Report

description: Introduction: Ipilimumab and Nivolumab are checkpoint inhibitors that are known to cause a multitude of inflammatory ocular adverse events. Here we report a patient with poliosis and symptomatic depigmentation of the choroid and retinal pigment epithelium (RPE) associated with checkpoint inhibitor therapy for cutaneous melanoma.
Case Presentation: The patient presented with floaters in both eyes and concerns for intraocular metastases of metastatic cutaneous melanoma after one month of therapy with Ipilimumab and Nivolumab. External examination revealed poliosis of her eyebrows and eyelashes. Fundus photography demonstrated multiple 1-3 disc-diameter hypopigmented placoid flat areas in the RPE/choroid exposing underlying choroidal vessels in both eyes. At subsequent evaluation seven months later (after an additional 6 months of checkpoint inhibitor therapy), the lesions appeared more blanched. Evaluation nearly 20 months after the initial presentation showed no significant changes from her prior visit despite cessation of checkpoint inhibitor therapy for 13 months. 
Conclusion: Checkpoint inhibitor therapy for cutaneous melanoma metastases can cause depigmentation of the choroid and RPE that must be differentiated from progression of intraocular melanoma.
DOI: 10.6084/m9.figshare.25012376
title: Supplementary Material for: Bilateral Vitiligo-Like Depigmentation of Choroid and Retinal Pigment Epithelium Associated with Ipilimumab-Nivolumab Therapy for Metastatic Cutaneous Melanoma: Case Report

description: Introduction: Ipilimumab and Nivolumab are checkpoint inhibitors that are known to cause a multitude of inflammatory ocular adverse events. Here we report a patient with poliosis and symptomatic depigmentation of the choroid and retinal pigment epithelium (RPE) associated with checkpoint inhibitor therapy for cutaneous melanoma.
Case Presentation: The patient presented with floaters in both eyes and concerns for intraocular metastases of metastatic cutaneous melanoma after one month of therapy with Ipilimumab and Nivolumab. External examination revealed poliosis of her eyebrows and eyelashes. Fundus photography demonstrated multiple 1-3 disc-diameter hypopigmented placoid flat areas in the RPE/choroid exposing underlying choroidal vessels in both eyes. At subsequent evaluation seven months later (after an additional 6 months of checkpoint inhibitor therapy), the lesions appeared more blanched. Evaluation nearly 20 months after the initial presentation showed no significant changes from her prior visit despite cessation of checkpoint inhibitor therapy for 13 months. 
Conclusion: Checkpoint inhibitor therapy for cutaneous melanoma metastases can cause depigmentation of the choroid and RPE that must be differentiated from progression of intraocular melanoma.
DOI: 10.15468/8n3u8r
title: 1981 MBA European Continental Slope RV Sir Frederick Russell Cruise No. 18

description: Records from the RV Sir Frederick Russell Cruise along the European continental slope in November 1981. Samples collected using a number of methods including 4ft rectangular dredge, phleger corer, anchor dredge and 8ft Agassiz. Records supplied by Dr. Eve Southward and collated by DASSH as part of the 'Dredging the Depths' project.
DOI: 10.5281/zenodo.7482334
title: Analysis of two focus groups about data visualization

description: This repository contains two datasets concerning the analysis of two focus groups about data visualization.



	
frequency_matrix.xlsx: this resource contains a frequency analysis matrix of the focus groups. The categories are identified on the horizontal axis, using different colours according to the hierarchy of the categorical system (meta-category, categories, and subcategories) to facilitate the subsequent axial coding of the content.
	
content_matrix.xlsx: this resource contains the analysis of the content of the two focus groups. Following data reduction, the ideas or units of analysis about each category were grouped and coded. In this way, the content analysis was completed with the coding of the units of analysis about the respective categories using the axial coding procedure.
DOI: 10.4121/53f2d238-77fc-4045-89a9-fb7fa2871f1d
title: Collaboratively Setting Daily Step Goals with a Virtual Coach: Using Reinforcement Learning to Personalize Initial Proposals - Data and Analysis Code

description: This is the data and analysis code underlying the paper "Collaboratively Setting Daily Step Goals with a Virtual Coach: Using Reinforcement Learning to Personalize Initial Proposals" by Martin Dierikx, Nele Albers, Bouke L. Scheltinga, and Willem-Paul Brinkman. The paper develops a dialog to collaboratively set daily step goals with a virtual coach and analyzes the use of reinforcement learning to personalize the initial step goal proposal in the dialog.<br><strong>Study</strong>The paper is based on data collected from a study conducted in June and July 2023 for the publicly available Master's thesis by Martin Dierikx (http://resolver.tudelft.nl/uuid:4f2c12de-9b9f-4e3f-ad3a-902947d693bb). In this study, 235 people were invited to between one and five conversational sessions with the text-based virtual coach Steph. In each session, Steph asked questions to determine people's current state based on their mood, sleep quality, available time, motivation, and self-efficacy. Afterward, Steph calculated a recommended daily step goal based on the user's previous walking behavior. Based on this recommended goal, Steph gave users three initial goal options, each 100 steps apart. Thereby, the options were randomly changed in one of five possible ways: 1) decrease by 400 steps, 2) decrease by 200 steps, 3) keep the same, 4) increase by 200 steps, or 5) increase by 400 steps. Users could select one of the presented goal options as well as indicate that they wanted a different goal. The next session started by asking users about the number of steps they took on the previous day. Data collected from this study was used to fit and analyze a reinforcement learning model for choosing initial step goal proposals.<br>The study was pre-registered in the Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/6JQPK.<br>The Human Research Ethics Committee of Delft University of Technology approved our study (Letter of Approval number: 3016).<br>Links to further resources:The Rasa-based implementation of the virtual coach Steph is available here: https://doi.org/10.5281/zenodo.8382413.A video of a dialog with the virtual coach is available here: https://youtu.be/FSpG-G0zc-o.<br><strong>Data</strong>We collected data in several study components:Demographic data collected from participants' Prolific profiles (e.g., age, gender).Data collected from a prescreening questionnaire (e.g., Godin leisure-time physical activity).Data collected during the conversational sessions (e.g., mood, number of steps taken on the previous day).Data from the post-questionnaire (e.g., how personal the goals felt to participants, how difficult it was to reach the goals).<br><br>If you have any questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
DOI: 10.4121/53f2d238-77fc-4045-89a9-fb7fa2871f1d.v1
title: Collaboratively Setting Daily Step Goals with a Virtual Coach: Using Reinforcement Learning to Personalize Initial Proposals - Data and Analysis Code

description: This is the data and analysis code underlying the paper "Collaboratively Setting Daily Step Goals with a Virtual Coach: Using Reinforcement Learning to Personalize Initial Proposals" by Martin Dierikx, Nele Albers, Bouke L. Scheltinga, and Willem-Paul Brinkman. The paper develops a dialog to collaboratively set daily step goals with a virtual coach and analyzes the use of reinforcement learning to personalize the initial step goal proposal in the dialog.<br><strong>Study</strong>The paper is based on data collected from a study conducted in June and July 2023 for the publicly available Master's thesis by Martin Dierikx (http://resolver.tudelft.nl/uuid:4f2c12de-9b9f-4e3f-ad3a-902947d693bb). In this study, 235 people were invited to between one and five conversational sessions with the text-based virtual coach Steph. In each session, Steph asked questions to determine people's current state based on their mood, sleep quality, available time, motivation, and self-efficacy. Afterward, Steph calculated a recommended daily step goal based on the user's previous walking behavior. Based on this recommended goal, Steph gave users three initial goal options, each 100 steps apart. Thereby, the options were randomly changed in one of five possible ways: 1) decrease by 400 steps, 2) decrease by 200 steps, 3) keep the same, 4) increase by 200 steps, or 5) increase by 400 steps. Users could select one of the presented goal options as well as indicate that they wanted a different goal. The next session started by asking users about the number of steps they took on the previous day. Data collected from this study was used to fit and analyze a reinforcement learning model for choosing initial step goal proposals.<br>The study was pre-registered in the Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/6JQPK.<br>The Human Research Ethics Committee of Delft University of Technology approved our study (Letter of Approval number: 3016).<br>Links to further resources:The Rasa-based implementation of the virtual coach Steph is available here: https://doi.org/10.5281/zenodo.8382413.A video of a dialog with the virtual coach is available here: https://youtu.be/FSpG-G0zc-o.<br><strong>Data</strong>We collected data in several study components:Demographic data collected from participants' Prolific profiles (e.g., age, gender).Data collected from a prescreening questionnaire (e.g., Godin leisure-time physical activity).Data collected during the conversational sessions (e.g., mood, number of steps taken on the previous day).Data from the post-questionnaire (e.g., how personal the goals felt to participants, how difficult it was to reach the goals).<br><br>If you have any questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
DOI: 10.25403/upresearchdata.25011944
title: Analysis of <i>N</i>-nitrosamine disinfection byproducts in drinking water

description: N-nitrosamines (NAs) are widely recognized as cancer-causing and genotoxic substances that emerge in water primarily as a result of chlorination or chloramination disinfection processes when nitrogen-containing compounds are present. N-nitrosodimethylamine (NDMA) is an NA that has garnered considerable attention due to its highly carcinogenic properties. Solid-phase extraction (SPE) is the preferred method for isolating NAs from water samples, with analysis primarily relying on gas chromatography-mass spectrometry (GC−MS) or liquid chromatography-mass spectrometry (LC−MS). Despite this, comprehensive research into the distribution and potential consequences of NAs in water remains largely unexplored on the African continent. There is a pressing need for extensive research geared towards the development of sensitive yet user-friendly analytical techniques for detecting NAs and monitoring their presence in African water sources, especially in drinking water, to better assess potential health risks for the human population.
DOI: 10.25403/upresearchdata.25011944.v1
title: Analysis of <i>N</i>-nitrosamine disinfection byproducts in drinking water

description: N-nitrosamines (NAs) are widely recognized as cancer-causing and genotoxic substances that emerge in water primarily as a result of chlorination or chloramination disinfection processes when nitrogen-containing compounds are present. N-nitrosodimethylamine (NDMA) is an NA that has garnered considerable attention due to its highly carcinogenic properties. Solid-phase extraction (SPE) is the preferred method for isolating NAs from water samples, with analysis primarily relying on gas chromatography-mass spectrometry (GC−MS) or liquid chromatography-mass spectrometry (LC−MS). Despite this, comprehensive research into the distribution and potential consequences of NAs in water remains largely unexplored on the African continent. There is a pressing need for extensive research geared towards the development of sensitive yet user-friendly analytical techniques for detecting NAs and monitoring their presence in African water sources, especially in drinking water, to better assess potential health risks for the human population.
DOI: 10.5281/zenodo.10556368
title: Paratriacanthodes_retrospinis_EPLATE_53_B04_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10556369
title: Paratriacanthodes_retrospinis_EPLATE_53_B04_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10556349
title: No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT - Artifact

description: This repository contains the paper's experimental scripts, results, and raw data.
DOI: 10.5281/zenodo.10556350
title: No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT - Artifact

description: This repository contains the paper's experimental scripts, results, and raw data.
DOI: 10.5281/zenodo.10556271
title: Analysis of two focus groups about data visualization

description: This repository contains two datasets concerning the analysis of two focus groups about data visualization.



frequency_matrix_v2.xlsx: this resource contains a frequency analysis matrix of the focus groups. The categories are identified on the horizontal axis, using different colours according to the hierarchy of the categorical system (meta-category, categories, and subcategories) to facilitate the subsequent axial coding of the content.

content_matrix_v2.xlsx: this resource contains the analysis of the content of the two focus groups. Following data reduction, the ideas or units of analysis about each category were grouped and coded. In this way, the content analysis was completed with the coding of the units of analysis about the respective categories using the axial coding procedure.

Transcription_experts_ES.pdf: this document is the original transcription of the focus group discussion with experts in Spanish.

Transcription_experts_EN.pdf: this document is a transcription of the focus group discussion with experts, automatically translated into English by DeepL.

Transcription_phd_ES.pdf: this document is the original transcription of the focus group discussion with Ph.D. students in Spanish.

Transcription_phd_EN.pdf: this document is a transcription of the focus group discussion with Ph.D. students, automatically translated into English by DeepL.