cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5831825
title: Raw EEG Data for: Learning from Label Proportions in Brain-Computer Interfaces

description: If you prefer to use the preprocessed and epoched data, please refer to: https://zenodo.org/record/192684 Note that this repository ontains only the visual paradigm with the N=13 subjects recorded at 31 EEG channels, as described in the above link. We copied the relevant section of the description below: This data repository contains raw EEG of an EEG experiment utilizing visual event-related potentials (ERPs) with N=13 healthy subjects. The dataset is used and described in the following journal article: <em>Hübner, D., Verhoeven, T., Schmid, K., Müller, K. R., Tangermann, M., & Kindermans, P. J. (2017). Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees. PloS one, 12(4), e0175856.</em> <strong>Please cite the above article when using the data.</strong> The data set with N=13 subjects is different to ordinary ERP datasets in the sense that the train of stimuli to spell one character (68) is divided into repetitions of two interleaved sequences with length 8 and 18, respectively. We added '#' symbols to the spelling matrix which should never be attended by the subject and hence, are non-targets by definition. The first, shorter sequence, now highlights only ordinary characters, while the second sequence also highlights '#' -- visual blank symbols. By construction, sequence 1 has a higher target ratio than sequence 2. These known, but different target and non-target proportions are then used to reconstruct the target and non-target class means. This approach which does not need explicit class labels is termed Learning from Label Proportions (LLP). It can be used to decode brain signals without prior calibration session. More details can be found in the article. In another study, the above data set was used to simulate a new unsupervised mixture approach which combines the mean estimation of the unsupervised expectation-maximization algorithm by Kindermans et al. (2012, PLoS One) with the means obtained with the LLP approach. This leads to an unsupervised solution for which the performance is as good as in the supervised scenario. Please find more details in the following article: <em>Verhoeven, T., Hübner, D., Tangermann, M., Müller, K. R., Dambre, J., & Kindermans, P. J. (2017). Improving zero-training brain-computer interfaces by mixing model estimators. Journal of neural engineering, 14(3), 036021.</em> The data was recorded with BrainVision recorder. A new file was recorded for every group of 7 characters. The .eeg file contains the RAW EEG data in the format as described in the .vhdr file. Events / stimuli markers are provided in the .vmrk files. Note that there is a wrapper available to use this data in MOABB here: TODO INSERT LINK The subjects had the task to spell a specific sentence with 63 letters. In the online experiment, this was repeated 3 times and each time the online unsupervised classifier was reset at the start of the sentence.
DOI: 10.6084/m9.figshare.19082423
title: Cost and duration difference per daily route

description: The data include cost and duration difference per daily route among diesel and electric freight vehicles.
DOI: 10.6084/m9.figshare.19082423.v2
title: Cost and duration difference per daily route

description: The data include cost and duration difference per daily route among diesel and electric freight vehicles.
DOI: 10.6084/m9.figshare.19082423.v1
title: 0_4t_0_50km.xls

description: The data include cost and duration difference per daily route among diesel and electric freight vehicles.
DOI: 10.18430/m37ti7
title: X-ray diffraction data for the crystal Structure of UDP-N-acetylmuramoylalanine-D-glutamate ligase from Acinetobacter baumannii AB5075-UW in complex with ADP (7TI7)
DOI: 10.5519/qd.fw83djv4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5281/zenodo.5911818
title: Selected Electric Field Measurement Campaigns data

description: This presents the selected electric field measurement data acquired under several measurement campaigns in indoor and outdoor environments. This work was supported by the EU project 5GRFEX entitled – ‘Metrology for RF exposure from Massive MIMO 5G base station: Impact on 5G network deployment’ (this project has received funding from the support for impact (SIP) programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme), under European Association of National Metrology Institutes (EURAMET) Reference 18SIP02.
DOI: 10.5281/zenodo.5911817
title: Selected Electric Field Measurement Campaigns data

description: This presents the selected electric field measurement data acquired under several measurement campaigns in indoor and outdoor environments. This work was supported by the EU project 5GRFEX entitled – ‘Metrology for RF exposure from Massive MIMO 5G base station: Impact on 5G network deployment’ (this project has received funding from the support for impact (SIP) programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme), under European Association of National Metrology Institutes (EURAMET) Reference 18SIP02.
DOI: 10.34740/kaggle/dsv/3103004
title: test dataset
DOI: 10.21429/a9zv-gb92
title: Transcriptions of Interviews Conducted via Audio in Miami, Oklahoma

description: We collected a series of audio recordings of interviews conducted with research participants. The information collected details what was discussed during the conversations between the interviewer (one of our project team members) and project participants, individually, in pairs, or as a group of three people. The audio data were mostly collected in one geographic location: Miami, Oklahoma and several of the audio files were collected over the phone. One interview was conducted via email with typed responses.
DOI: 10.3886/e160841
title: SCHOOLING, STIGMA AND PERIODS AMONG ADOLESCENT GIRLS AND BOYS IN TANZANIA

description: Menstrual hygiene management is an important determinant for girls’ educational outcomes. We develop a method of cross-sectional analysis that quantifies the relative importance of four distinct mechanisms: material, biological, social and informational constraints and consider four main schooling outcomes: absenteeism, early departure, concentration and participation. We use survey data from 524 female students enrolled in four co-educational secondary schools in Northern Tanzania.
DOI: 10.3886/e160841v2
title: SCHOOLING, STIGMA AND PERIODS AMONG ADOLESCENT GIRLS AND BOYS IN TANZANIA

description: Menstrual hygiene management is an important determinant for girls’ educational outcomes. We develop a method of cross-sectional analysis that quantifies the relative importance of four distinct mechanisms: material, biological, social and informational constraints and consider four main schooling outcomes: absenteeism, early departure, concentration and participation. We use survey data from 524 female students enrolled in four co-educational secondary schools in Northern Tanzania.
DOI: 10.5519/qd.1ldxbps6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.21231/9558-5f63
title: Strength data for article titled "Lithology and fault related stress variations along the TCDP borehole: the stress state before and after the Chi-Chi earthquake. Journal of Geophysical Research: Solid Earth"
DOI: 10.6084/m9.figshare.13471983
title: Upper-limit agricultural dietary exposure to streptomycin in the lab reduces learning and foraging in bumble bees

description: This repository contains the datasets for the findings reported in the manuscript titled "Upper-limit agricultural dietary exposure to streptomycin in the lab reduces learning and foraging in bumble bees".<br>The data was collected from experiments with <i>Bombus impatiens</i> during 2019 and 2020 at Emory University. <br>There are files for three separate experiments:<br>a) Free Movement Proboscis Extension Reflex (FMPER) b) Foraging in automated foraging arenasc) Nectar consumption (three to four days) & survival data (first three days)<br>Details of each experiment are presented in the manuscript and in three R Markdown (.rmd) data reports (included in this repository). All statistical analysis were carried out in R Studio.<br><br>
DOI: 10.6084/m9.figshare.13471983.v1
title: Upper-limit agricultural dietary exposure to streptomycin in the lab reduces learning and foraging in bumble bees

description: This repository contains the datasets for the findings reported in the manuscript titled "Upper-limit agricultural dietary exposure to streptomycin in the lab reduces learning and foraging in bumble bees".<br>The data was collected from experiments with <i>Bombus impatiens</i> during 2019 and 2020 at Emory University. <br>There are files for three separate experiments:<br>a) Free Movement Proboscis Extension Reflex (FMPER) b) Foraging in automated foraging arenasc) Nectar consumption (three to four days) & survival data (first three days)<br>Details of each experiment are presented in the manuscript and in three R Markdown (.rmd) data reports (included in this repository). All statistical analysis were carried out in R Studio.<br><br>
DOI: 10.5281/zenodo.5911143
title: Outputs of the Jupyter Notebook - Detecting floating objects using Deep Learning and Sentinel-2 imagery

description: The dataset contains the outputs of the notebook "Detecting floating objects using Deep Learning and Sentinel-2 imagery" published in the ocean modelling section of The Environmental Data Science Book. <strong>Contributions</strong> <em>Notebook</em> Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac <em>Modelling codebase</em> Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo Marc Rußwurm (author), EPFL-ECEO, @marccoru
DOI: 10.5281/zenodo.5911142
title: Outputs of the Jupyter Notebook - Detecting floating objects using Deep Learning and Sentinel-2 imagery

description: The dataset contains the outputs of the notebook "Detecting floating objects using Deep Learning and Sentinel-2 imagery" published in the ocean modelling section of The Environmental Data Science Book. <strong>Contributions</strong> <em>Notebook</em> Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac <em>Modelling codebase</em> Jamila Mifdal (author), European Space Agency Φ-lab, @jmifdal Raquel Carmo (author), European Space Agency Φ-lab, @raquelcarmo Marc Rußwurm (author), EPFL-ECEO, @marccoru
DOI: 10.6084/m9.figshare.12859598.v1
title: A systematic review of <i>in vitro</i> studies evaluating the inhibitory effects of polyphenol-rich fruit extracts on carbohydrate digestive enzymes activity: a focus on culinary fruits consumed in Europe

description: Evidence shows that polyphenols can attenuate postprandial blood glucose responses to meals containing digestible carbohydrate. Polyphenol-rich plant extracts are emerging as potential ingredients in functional foods and/or beverages despite limited understanding of their physiological effects. Many studies have investigated the mechanisms of polyphenol-rich fruit extracts on inhibition of digestive enzymes. However, the evidence available has yet to be critically evaluated systematically. This report reviews the in vitro literature to quantify the effect of fruit polyphenol extracts on the activities of digestive carbohydrases. A systematic literature search was conducted using six science databases. Included studies, totaling 34 in number, were in vitro digestion models which quantified gut digestive enzyme(s) activity on starch digestion in the presence of fruit polyphenol extracts. Most studies assessed the effects of fruit extracts on either α-amylase (n = 30) or α-glucosidase (n = 30) activity. Studies were consistent overall in showing stronger inhibition of α-amylase compared to α-glucosidase by proanthocyanidin- and/or ellagitannin-rich fruit extracts. Recommendations are proposed for future reporting of this type of research to enable meaningful synthesis of the literature as a whole. Such knowledge could allow effective choices to be made for development of novel functional foods and beverages.
DOI: 10.6084/m9.figshare.12895991.v1
title: Impact of the source of fermentable carbohydrate on SCFA production by human gut microbiota <i>in vitro</i> - a systematic scoping review and secondary analysis

description: Short chain fatty acids (SCFA) are produced by bacterial fermentation of non-digestible carbohydrates (NDC) and have many potential tissue and SCFA specific actions, from providing fuel for colonic cells to appetite regulation. Many studies have described the fermentation of different carbohydrates, often using in vitro batch culture. As evidence-based critical evaluation of substrates selectively promoting production of individual SCFA is lacking, we performed a systematic scoping literature review. Databases were searched to identify relevant papers published between 1900 and 12/06/2016. Search terms included In vitro <i>batch fermentation</i> and In vitro <i>short chain fatty acid production.</i> Articles were considered for essential criteria allowing equivalent comparison of SCFA between NDC. Seventy seven articles were included in the final analysis examining 29 different carbohydrates. After 24-hour fermentation, galacto-oligosaccharide ranked highest for butyrate and total SCFA production and second for acetate production. Rhamnose ranked highest for propionate production. The lowest SCFA production was observed for kiwi fiber, polydextrose, and cellulose. This review demonstrates that choosing a substrate to selectively enhance a specific SCFA is difficult, and the molar proportion of each SCFA produced by individual substrates may be misleading. Instead the rate and ratio of SCFA production should be evaluated in parallel.
DOI: 10.6084/m9.figshare.14543994
title: Demographic and life history traits explain patterns in species vulnerability to extinction

description: Data and R code to accompany the manuscript "Demographic and life history traits explain patterns in species vulnerability to extinction" by Haydée Hernández-Yáñez, Su Yeon Kim, & Judy P. Che-Castaldo
DOI: 10.6084/m9.figshare.3761562.v2119
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25345/c5gk47
title: MassIVE MSV000088740 - GNPS Ginkgo biloba LC-DAD-ESI-QTof
title: Analysis of Ginkgo biloba standardized lyophilized extract in LC-DAD-HRMS/MS for phytochemical identity.
DOI: 10.3886/e112845v1-107700
title: Replication data for: Industry Compensation under Relocation Risk: A Firm-Level Analysis of the EU Emissions Trading Scheme

description: When regulated firms are offered compensation to prevent them from relocating, efficiency requires that payments be distributed across firms so as to equalize marginal relocation probabilities, weighted by the damage caused by relocation. We formalize this fundamental economic logic and apply it to analyzing compensation rules proposed under the EU Emissions Trading Scheme, where emission permits are allocated free of charge to carbon intensive and trade exposed industries. We show that this practice results in substantial overcompensation for given carbon leakage risk. Efficient permit allocation reduces the aggregate risk of job loss by more than half without increasing aggregate compensation.
DOI: 10.5281/zenodo.5911897
title: NMR assignment of methyl groups in solid-state using 1H-detection and fast MAS - NMR raw and processed data

description: This data set contains raw NMR data in Bruker format for experimental series on (1) 2,3-13C-labelled microcrystalline alanine, (2) U-13C,15N-labelled N-fomylated microcrystalline tripeptide Met-Leu-Phe, and (3,4) two differently labelled (ILV-C4 and ILV-C5) microcrystalline chicken-alpha-spectrin SH3 domain. Measurements were performed at 14.4 T and 55.5 kHz MAS (alanine), 18.8 T and 55.5 and 98 kHz MAS (fMLF), 23.5 T and 55.5 kHz (SH3 C5), 18.8T and 55.5 and 94.5 kHz MAS (SH3 C5) and 18.8T and 55.5 and 94.5 kHz MAS (SH3 C4). The data set also contains Fourier processed data (spectra) in UCSF format, Sparky project, save and peak list files. Pulse programs for Bruker spectrometers are provided. The data set is complemented with SIMPSON scripts for simulation of spin dynamics under aformentioned conditions.
DOI: 10.5281/zenodo.5911896
title: NMR assignment of methyl groups in solid-state using 1H-detection and fast MAS - NMR raw and processed data

description: This data set contains raw NMR data in Bruker format for experimental series on (1) 2,3-13C-labelled microcrystalline alanine, (2) U-13C,15N-labelled N-fomylated microcrystalline tripeptide Met-Leu-Phe, and (3,4) two differently labelled (ILV-C4 and ILV-C5) microcrystalline chicken-alpha-spectrin SH3 domain. Measurements were performed at 14.4 T and 55.5 kHz MAS (alanine), 18.8 T and 55.5 and 98 kHz MAS (fMLF), 23.5 T and 55.5 kHz (SH3 C5), 18.8T and 55.5 and 94.5 kHz MAS (SH3 C5) and 18.8T and 55.5 and 94.5 kHz MAS (SH3 C4). The data set also contains Fourier processed data (spectra) in UCSF format, Sparky project, save and peak list files. Pulse programs for Bruker spectrometers are provided. The data set is complemented with SIMPSON scripts for simulation of spin dynamics under aformentioned conditions.
DOI: 10.6084/m9.figshare.19083188.v1
title: Base de datos de Tipificación fenotípica y genotípica Tesis Ocampo

description: Base de datos de tipificación genotípica y fenotípica de resistencia a antibióticos con especial énfasis en la resistencia a la fosfomicina.
DOI: 10.5281/zenodo.5889100
title: Hell ant ecological niche prediction dataset

description: <strong>Data S1.</strong> Supplementary Data_Fossil Morphometrics (separate file) All fossil morphometric data for all fossil specimens included in this study. The Excel file has four tabs: one with all raw trait measurements measured in a functional morphological framework (“raw functional”); one with all raw trait measurements measured in a homologous morphological framework (“raw homologous”); one with all size-corrected ratio trait measurements measured in a functional morphological framework (“ratio functional”); and one with all size-corrected ratio trait measurements measured in a homologous morphological framework (“raw homologous”). <strong>Data S2.</strong> Supplementary Data_ Trap Jaw Ecomorphospace (separate file) All body size and ecological niche data used for calculating ecomorphospace occupation in extinct and extant trapjaw ant taxa. The Excel file has tabs for each genus of trapjaw ants, which were combined for cases where multiple genera were treated as one lineage. “MinHaidomyrmecinae” is collated solely from predictions estimated under a raw trait measurement functional morphology framework, while “MaxHaidomyrmecinae” is collated from predictions estimated using all models. <strong>Data S3.</strong> Supplementary Data_Random Forest Code (separate file) R code that may be used to reproduce the Random Forest analyses, commented for clarity.
DOI: 10.5281/zenodo.5889099
title: Hell ant ecological niche prediction dataset

description: <strong>Data S1.</strong> Supplementary Data_Fossil Morphometrics (separate file) All fossil morphometric data for all fossil specimens included in this study. The Excel file has four tabs: one with all raw trait measurements measured in a functional morphological framework (“raw functional”); one with all raw trait measurements measured in a homologous morphological framework (“raw homologous”); one with all size-corrected ratio trait measurements measured in a functional morphological framework (“ratio functional”); and one with all size-corrected ratio trait measurements measured in a homologous morphological framework (“raw homologous”). <strong>Data S2.</strong> Supplementary Data_ Trap Jaw Ecomorphospace (separate file) All body size and ecological niche data used for calculating ecomorphospace occupation in extinct and extant trapjaw ant taxa. The Excel file has tabs for each genus of trapjaw ants, which were combined for cases where multiple genera were treated as one lineage. “MinHaidomyrmecinae” is collated solely from predictions estimated under a raw trait measurement functional morphology framework, while “MaxHaidomyrmecinae” is collated from predictions estimated using all models. <strong>Data S3.</strong> Supplementary Data_Random Forest Code (separate file) R code that may be used to reproduce the Random Forest analyses, commented for clarity.
DOI: 10.6084/m9.figshare.19083188
title: Base de datos de Tipificación fenotípica y genotípica Tesis Ocampo

description: Base de datos de tipificación genotípica y fenotípica de resistencia a antibióticos con especial énfasis en la resistencia a la fosfomicina.
DOI: 10.6084/m9.figshare.19083188.v3
title: Base de datos de Tipificación fenotípica y genotípica Tesis Ocampo

description: Base de datos de tipificación genotípica y fenotípica de resistencia a antibióticos con especial énfasis en la resistencia a la fosfomicina.
DOI: 10.6084/m9.figshare.19083188.v2
title: Base de datos de Tipificación fenotípica y genotípica Tesis Ocampo

description: Base de datos de tipificación genotípica y fenotípica de resistencia a antibióticos con especial énfasis en la resistencia a la fosfomicina.
DOI: 10.5281/zenodo.5911953
title: Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry (data)

description: Data from the paper: Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry This document includes the after-analysis data, where, the variable "Log2by3M" for the relative magnitude of AE events in the catalog, "M" for the coordinates of sensors, "Mechanical" for the raw mechanical loading information before synchronization, "Notch" for the coordinate of the notch on the beam, "QuaLoc" for the source location and time.
DOI: 10.5281/zenodo.5911952
title: Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry (data)

description: Data from the paper: Laboratory evidence supporting a mechanical model describing the dynamic formation of fault damage asymmetry This document includes the after-analysis data, where, the variable "Log2by3M" for the relative magnitude of AE events in the catalog, "M" for the coordinates of sensors, "Mechanical" for the raw mechanical loading information before synchronization, "Notch" for the coordinate of the notch on the beam, "QuaLoc" for the source location and time.
DOI: 10.5281/zenodo.5911940
title: United-atom P3HT workspace

description: Signac workspace of united-atom P3HT HOOMD molecular dynamics simulation data created using PlanckTon-flow and PlanckTon v0.6.1.
DOI: 10.5281/zenodo.5911939
title: United-atom P3HT workspace

description: Signac workspace of united-atom P3HT HOOMD molecular dynamics simulation data created using PlanckTon-flow and PlanckTon v0.6.1.