cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/19153742.v1
title: Data from: Deflation techniques applied on mixed model equations

description: This archive contains all datasets and scripts to reproduce the results of our study.<br>In this paper, we consider various deflation techniques applied in the Deflated<br>Preconditioned Conjugate Gradient (DPCG) method for solving a sparse system of linear<br>equations derived from a statistical linear mixed model that analyses simultaneously<br>phenotypic and pedigree information of genotyped and ungenotyped animals with Single<br>Polymorphism Nucleotide genotypes of genotyped animals.
DOI: 10.4121/20219616
title: Data processing and plotting underlying the manuscript: Spectroscopy of spin-split Andreev levels in a quantum dot with superconducting leads

description: This file contains all of the processing and plotting of the raw data used in the manuscript.
DOI: 10.4121/19153742.v2
title: Data from: Deflation techniques applied on mixed model equations

description: This archive contains all datasets and scripts to reproduce the results of our study.<br>In this paper, we consider various deflation techniques applied in the Deflated<br>Preconditioned Conjugate Gradient (DPCG) method for solving a sparse system of linear<br>equations derived from a statistical linear mixed model that analyses simultaneously<br>phenotypic and pedigree information of genotyped and ungenotyped animals with Single<br>Polymorphism Nucleotide genotypes of genotyped animals.
DOI: 10.4121/19153742
title: Data from: Deflation techniques applied on mixed model equations

description: This archive contains all datasets and scripts to reproduce the results of our study.<br>In this paper, we consider various deflation techniques applied in the Deflated<br>Preconditioned Conjugate Gradient (DPCG) method for solving a sparse system of linear<br>equations derived from a statistical linear mixed model that analyses simultaneously<br>phenotypic and pedigree information of genotyped and ungenotyped animals with Single<br>Polymorphism Nucleotide genotypes of genotyped animals.
DOI: 10.6084/m9.figshare.21641111
title: An updated version of the Madagascar periwinkle genome

description: Catharanthus_roseus_v2.1_UT.cds (Predicted CDS). Catharanthus_roseus_v2.1_UT.gff (Genome annotation file (GFF)). Catharanthus_roseus_v2.1_UT.pep (Predicted proteins). Catharanthus_roseus_v2.1_UT.tr (Predicted transcripts). Cuello et al - F1000R - SuppMat.xlsx (Supplementary tables). <br>
DOI: 10.6084/m9.figshare.21641111.v1
title: An updated version of the Madagascar periwinkle genome

description: Catharanthus_roseus_v3.1_UT.cds (Predicted CDS). Catharanthus_roseus_v3.1_UT.gff (Genome annotation file (GFF)). Catharanthus_roseus_v3.1_UT.pep (Predicted proteins). Catharanthus_roseus_v3.1_UT.tr (Predicted transcripts). Cuello et al - F1000R - SuppMat.xlsx (Supplementary tables). <br>
DOI: 10.5258/soton/d2477
title: Dataset supporting the publication "Enhanced coupling between ballistic exciton-polariton condensates through tailored pumping".

description: Dataset for the paper entitled "Enhanced coupling between ballistic exciton-polariton condensates through tailored pumping" in Physical Review B. The file "Dataset.zip" contains data to generate Figures 1-5 from the main text.
DOI: 10.34740/kaggle/dsv/4687946
title: SysTools Mac MBOX Converter
DOI: 10.5281/zenodo.6056067
title: Dataset supporting the paper "Effect of prebiotic fermentation products from primary human gut microbiota on an in vitro intestinal model"

description: Short chain fatty acids (SCFA) originate from the bacterial fermentation of dietary fibre in the gastrointestinal tract. They are hypothesised to play a key role in microbiota–gut–brain crosstalk and the effect of individual SCFAs or mixtures thereof has been broadly studied. However, studies using fermentation products to evaluate the effect of microbiota-targeted interventions, such as prebiotics, probiotics, or diet, are sparse, particularly in humans. In addition, the complexity of these physiological processes translates as a challenge for their simulation<em> in vitro</em>. In this work, fermentation products of prebiotic-enriched media by bacteria present in primary human faecal samples were tested using an epithelium model based on a Caco-2/HT29-MTX co-culture. The prebiotics raftilose and fructo-oligosaccharides (FOS) were tested and the experimental conditions (contact time and minimal dilution) optimised to avoid cytotoxicity. None of the conditions tested compromised the intestinal epithelium integrity as verified by the TEER and the expression of the tight junction-specific protein – occludin. In addition, none of the fermentation products caused an inflammatory response as determinedby the expression of inflammatory genes by qRT-PCR. The products of fermentation of media enriched with FOS showed a moderate protective effect against the formation of reactive oxygen species. This work provides an important basis for the development of <em>in vitro</em> models using a simple approach to evaluate host-gut microbiota interactions, using co-cultures of intestinal cell lines and products of <em>in vitro</em> fermentations by primary human gut microbiota.
DOI: 10.5281/zenodo.6056068
title: Dataset supporting the paper "Effect of prebiotic fermentation products from primary human gut microbiota on an in vitro intestinal model"

description: Short chain fatty acids (SCFA) originate from the bacterial fermentation of dietary fibre in the gastrointestinal tract. They are hypothesised to play a key role in microbiota–gut–brain crosstalk and the effect of individual SCFAs or mixtures thereof has been broadly studied. However, studies using fermentation products to evaluate the effect of microbiota-targeted interventions, such as prebiotics, probiotics, or diet, are sparse, particularly in humans. In addition, the complexity of these physiological processes translates as a challenge for their simulation<em> in vitro</em>. In this work, fermentation products of prebiotic-enriched media by bacteria present in primary human faecal samples were tested using an epithelium model based on a Caco-2/HT29-MTX co-culture. The prebiotics raftilose and fructo-oligosaccharides (FOS) were tested and the experimental conditions (contact time and minimal dilution) optimised to avoid cytotoxicity. None of the conditions tested compromised the intestinal epithelium integrity as verified by the TEER and the expression of the tight junction-specific protein – occludin. In addition, none of the fermentation products caused an inflammatory response as determinedby the expression of inflammatory genes by qRT-PCR. The products of fermentation of media enriched with FOS showed a moderate protective effect against the formation of reactive oxygen species. This work provides an important basis for the development of <em>in vitro</em> models using a simple approach to evaluate host-gut microbiota interactions, using co-cultures of intestinal cell lines and products of <em>in vitro</em> fermentations by primary human gut microbiota.
DOI: 10.5281/zenodo.7426806
title: Data from an eye-tracking based study of solution strategies in similar mathematical and physical tasks

description: Eye-tracking data: The .nas file "ET_data" contains the eyetracking project in software tobii studio with gaze data of all 131 participants.<br> To open this project, the software tobii studio is required. ----------------------------------------<br> Interview data: All .txt files contain transcribed interview data in German language. <br> The files are labeled by subject number (e.g., P01 for the first participant) and the item for which the interview was recorded (e.g., M8).<br> The files contain interview data of participants explaining their solution strategy for the given item. ----------------------------------------<br> Descriptive data: The file descriptive_data.csv contains the descriptive data of all participants (N=131).<br> The column labels are as follows: code: code of participant, p01-p131 <br> survey_period: survey period, summer_2021 / autumn_2020 / spring_2020<br> age: age of participant in years <br> grade: grade of participant <br> gen: gender, male (m) / female (f) / diverse (d) <br> ger_nat_speak: German native speaker, yes / no <br> repeater: Repeater of the last grade?, yes / no<br> math_course: basic course (basic) or advanced course (advanced) in mathematics<br> physics_course: basic course (basic) or advanced course (advanced) in physics<br> grade_math: last grade in mathematics, 1-6 <br> grade_phy: last grade mark in physics, 1-6 <br> grade_ger: last report mark in german, 1-6 <br> glasses: wearer of glasses?, yes / no<br> motivation: four-point lickert scale, very motivated (1) to not motivated at all (0) <br> test: physics tasks before math tasks (pm) or vice versa (mp) <br> For each test item 2 columns are created. Example Item k1:<br> ac_k1: answer correctness of item k1, not correct and/or guessed (0), correct (1). <br> cf_k1: confidence of item k1, four-point lickert scale, very confident (1) to guessed (0)
DOI: 10.5281/zenodo.7426805
title: Data from an eye-tracking based study of solution strategies in similar mathematical and physical tasks

description: Eye-tracking data: The .nas file "ET_data" contains the eyetracking project in software tobii studio with gaze data of all 131 participants.<br> To open this project, the software tobii studio is required. ----------------------------------------<br> Interview data: All .txt files contain transcribed interview data in German language. <br> The files are labeled by subject number (e.g., P01 for the first participant) and the item for which the interview was recorded (e.g., M8).<br> The files contain interview data of participants explaining their solution strategy for the given item. ----------------------------------------<br> Descriptive data: The file descriptive_data.csv contains the descriptive data of all participants (N=131).<br> The column labels are as follows: code: code of participant, p01-p131 <br> survey_period: survey period, summer_2021 / autumn_2020 / spring_2020<br> age: age of participant in years <br> grade: grade of participant <br> gen: gender, male (m) / female (f) / diverse (d) <br> ger_nat_speak: German native speaker, yes / no <br> repeater: Repeater of the last grade?, yes / no<br> math_course: basic course (basic) or advanced course (advanced) in mathematics<br> physics_course: basic course (basic) or advanced course (advanced) in physics<br> grade_math: last grade in mathematics, 1-6 <br> grade_phy: last grade mark in physics, 1-6 <br> grade_ger: last report mark in german, 1-6 <br> glasses: wearer of glasses?, yes / no<br> motivation: four-point lickert scale, very motivated (1) to not motivated at all (0) <br> test: physics tasks before math tasks (pm) or vice versa (mp) <br> For each test item 2 columns are created. Example Item k1:<br> ac_k1: answer correctness of item k1, not correct and/or guessed (0), correct (1). <br> cf_k1: confidence of item k1, four-point lickert scale, very confident (1) to guessed (0)
DOI: 10.48544/e75df33b-3814-4aa9-a60e-09adbaf772a8
title: IDE Surf Sharekit
DOI: 10.6084/m9.figshare.21710279
title: prova.txt

description: prova
DOI: 10.6084/m9.figshare.21710279.v1
title: prova.txt

description: prova
DOI: 10.5281/zenodo.6721683
title: Sudanese dialect speech dataset

description: This is speech dataset for the Sudanese dialect The data been collected from YouTube videos represent the characteristics of<br> the Sudanese dialect, mainly the middle of Sudan dialect -Khartoum in particular-<br> and have some northern tendency, primarily two programs Hajj Muzakir and Dukkan Wad Elbaseer. Transcription is done manually by listening to the audio files repeatedly to write the captions for the collected conversations to make<br> sure that every word is written as said by the speakers. Transcription is written without<br> diacritics on the Arabic alphabet, in a manner that reflects the Sudanese way of speaking, therefore,<br> any correction to the noticeable mistakes was not applied to get rid of any biases and make the data representative. The 'Dataset' subdirectory contains all the audio and text files for the corpus, the files organized based on<br> program name 'hm_' for Hajj Muzakir program and 'wb_' Dukkan Wad Elbaseer, each filename follows<br> three categories first two litters for the program name 'hm' or 'wb', second the number of the episode<br> third the number of the clip, hm_01_0001.wav and wb_01_0001.wav represent first episode of each program and the first clip.
DOI: 10.5281/zenodo.6869079
title: Sudanese dialect speech dataset

description: This is speech dataset for the Sudanese dialect The data been collected from YouTube videos represent the characteristics of<br> the Sudanese dialect, mainly the middle of Sudan dialect -Khartoum in particular-<br> and have some northern tendency, primarily two programs Hajj Muzakir and Dukkan Wad Elbaseer. Transcription is done manually by listening to the audio files repeatedly to write the captions for the collected conversations to make<br> sure that every word is written as said by the speakers. Transcription is written without<br> diacritics on the Arabic alphabet, in a manner that reflects the Sudanese way of speaking, therefore,<br> any correction to the noticeable mistakes was not applied to get rid of any biases and make the data representative. The 'Dataset' subdirectory contains all the audio and text files for the corpus, the files organized based on<br> program name 'hm_' for Hajj Muzakir program and 'wb_' Dukkan Wad Elbaseer, each filename follows<br> three categories first two litters for the program name 'hm' or 'wb', second the number of the episode<br> third the number of the clip, hm_01_0001.wav and wb_01_0001.wav represent first episode of each program and the first clip.
DOI: 10.5525/gla.researchdata.1354
title: NodeNS Human Activity Dataset

description: To date, numerous types of collection devices have been used in the recognition of human activities. However, due to the scarcity of training data, the task of 3D point cloud labelling has not yet made significant progress. To overcome this challenge, it is aimed to deduce this data requirements gap, allowing deep learning methods to reach their full potential in 3D point cloud tasks. The dataset used for this process is comprised of dense point clouds acquired with the static ground sensor by the NodeNs company supported MIMO radar (NodeNs ZERO 60 GHz IQ radar). It contains multiple types of human being data ranging from one to four individuals and encompasses a range of human action scenarios, including standing, sitting, picking up, falling, and walking.
DOI: 10.5281/zenodo.7426918
title: Sudanese dialect speech dataset

description: This is speech dataset for the Sudanese dialect data been collected from YouTube videos represent the characteristics of the Sudanese dialect, mainly the middle of Sudan dialect -Khartoum in particular- and have some northern tendency, primarily two programs Hajj Muzakir and Dukkan Wad Elbaseer. Transcription is done manually by listening to the audio files repeatedly to write the captions for the collected conversations to make sure that every word is written as said by the speakers. Transcription is written without diacritics on the Arabic alphabet, in a manner that reflects the Sudanese way of speaking, therefore, any correction to the noticeable mistakes was not applied to get rid of any biases and make the data representative. The 'Dataset' subdirectory contains all the audio and text files for the corpus, the files organized based on program name 'hm_' for Hajj Muzakir program and 'wb_' Dukkan Wad Elbaseer, each filename follows three categories first two litters for the program name 'hm' or 'wb', second the number of the episode third the number of the clip, hm_01_0001.wav and wb_01_0001.wav represent first episode of each program and the first clip.
DOI: 10.5281/zenodo.6721682
title: Sudanese dialect speech dataset

description: This is speech dataset for the Sudanese dialect data been collected from YouTube videos represent the characteristics of the Sudanese dialect, mainly the middle of Sudan dialect -Khartoum in particular- and have some northern tendency, primarily two programs Hajj Muzakir and Dukkan Wad Elbaseer. Transcription is done manually by listening to the audio files repeatedly to write the captions for the collected conversations to make sure that every word is written as said by the speakers. Transcription is written without diacritics on the Arabic alphabet, in a manner that reflects the Sudanese way of speaking, therefore, any correction to the noticeable mistakes was not applied to get rid of any biases and make the data representative. The 'Dataset' subdirectory contains all the audio and text files for the corpus, the files organized based on program name 'hm_' for Hajj Muzakir program and 'wb_' Dukkan Wad Elbaseer, each filename follows three categories first two litters for the program name 'hm' or 'wb', second the number of the episode third the number of the clip, hm_01_0001.wav and wb_01_0001.wav represent first episode of each program and the first clip.
DOI: 10.48544/59e2889f-2ea9-4466-8384-b1616fe623db
title: IDE Surf Sharekit
DOI: 10.5281/zenodo.7200022
title: Scans dataset for evaluation of AR-based assembly pipeline of half-timber dry-stone structures

description: <strong>Dataset description</strong> <em>The dataset is realized by the EPFL Laboratories of IBOIS, and EESD on the occasion of joint collaboration with the common goal of exploring augmented reality (AR)-based fabrication for half-timber dry-stone construction. It is open sourced and free to be used for anyone's own research.</em> The current dataset has been employed to evaluate the designed digital fabrication pipeline. It consists of raw point clouds and reconstructed models of two digitized prototypes of one-layered dry-stone structures with a 1.7 m length, ~0.6 height, and 0.7 m width, each with a different composition of building units. The first wall presents 40 mineral by-products uniquely from by-products of quarry processes involving sawing and water-cutting. In contrast, the second wall features 30 mineral scraps issued from all mixed quarry's operations of transformations. The collection contains both the reconstructed models of the as-built artifacts and the corresponding recorded model of the AR-guided assembly processes for the two walls. The recorded model contains meshes of the placed stones accordingly to the developed geometric planner. By comparing the misalignment between each stone of both models (e.g. Root Mean Square Error distances between two set of points) is possible to obtain metrics about the performance of the proposed AR-assembly method. <strong>Dataset labeling guide</strong> label content 01/02 First or second wall. rs Raw data: unprocessed scans. ab As-built model: model presenting all the registered stones. rc Recorded model: collection of tracked stones during the construction. Each stone has being placed following the AR system is recorded in this sub-set. ev Evaluation set: documentation and working files for the evaluation of the developed AR assembly system. colored_stone Evaluation set outcome: a graphical representation of the misalignment between each stone of the as-built model (ab) with the recorded model (rc). <strong>Equipement specs</strong> All the raw scans present in the dataset have been obtained from a FARO Freestyle 2 equipped with a Mobile PC for live point cloud processing. <pre><code>@manual{farofreestyle2, title = {FARO Freestyle 2 and Mobile PC}, year = 2022, month = feb, note = {User Manual}, organization = {FARO Technologies Inc.}, url = {https://downloads.faro.com/index.php/s/sqcRBipgSy9GaEq?dir=undefined&openfile=138985} } </code></pre> <strong>For extra info</strong> The open-sourced code for the developed AR assembly: <pre>https://doi.org/10.5281/zenodo.7181087</pre> The complete dataset of digitized mineral scraps: <pre>https://doi.org/10.5281/zenodo.7189478</pre> <strong>Version notes</strong> - The current dataset is published as linked documentation to a future publication, yet not reviewed. <strong>Change log</strong> - Typos - Correct order of authors
DOI: 10.5281/zenodo.7200021
title: Scans dataset for evaluation of AR-based assembly pipeline of half-timber dry-stone structures

description: <strong>Dataset description</strong> <em>The dataset is realized by the EPFL Laboratories of IBOIS, and EESD on the occasion of joint collaboration with the common goal of exploring augmented reality (AR)-based fabrication for half-timber dry-stone construction. It is open sourced and free to be used for anyone's own research.</em> The current dataset has been employed to evaluate the designed digital fabrication pipeline. It consists of raw point clouds and reconstructed models of two digitized prototypes of one-layered dry-stone structures with a 1.7 m length, ~0.6 height, and 0.7 m width, each with a different composition of building units. The first wall presents 40 mineral by-products uniquely from by-products of quarry processes involving sawing and water-cutting. In contrast, the second wall features 30 mineral scraps issued from all mixed quarry's operations of transformations. The collection contains both the reconstructed models of the as-built artifacts and the corresponding recorded model of the AR-guided assembly processes for the two walls. The recorded model contains meshes of the placed stones accordingly to the developed geometric planner. By comparing the misalignment between each stone of both models (e.g. Root Mean Square Error distances between two set of points) is possible to obtain metrics about the performance of the proposed AR-assembly method. <strong>Dataset labeling guide</strong> label content 01/02 First or second wall. rs Raw data: unprocessed scans. ab As-built model: model presenting all the registered stones. rc Recorded model: collection of tracked stones during the construction. Each stone has being placed following the AR system is recorded in this sub-set. ev Evaluation set: documentation and working files for the evaluation of the developed AR assembly system. colored_stone Evaluation set outcome: a graphical representation of the misalignment between each stone of the as-built model (ab) with the recorded model (rc). <strong>Equipement specs</strong> All the raw scans present in the dataset have been obtained from a FARO Freestyle 2 equipped with a Mobile PC for live point cloud processing. <pre><code>@manual{farofreestyle2, title = {FARO Freestyle 2 and Mobile PC}, year = 2022, month = feb, note = {User Manual}, organization = {FARO Technologies Inc.}, url = {https://downloads.faro.com/index.php/s/sqcRBipgSy9GaEq?dir=undefined&openfile=138985} } </code></pre> <strong>For extra info</strong> The open-sourced code for the developed AR assembly: <pre>https://doi.org/10.5281/zenodo.7181087</pre> The complete dataset of digitized mineral scraps: <pre>https://doi.org/10.5281/zenodo.7189478</pre> <strong>Version notes</strong> - The current dataset is published as linked documentation to a future publication, yet not reviewed. <strong>Change log</strong> - Typos - Correct order of authors
DOI: 10.48544/0663fc78-a4d3-4130-82b0-9e072c3d3ddb
title: IDE SURF Sharekit