cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zz72fskgzk.1
title: Prediction the number of asymptomatic and symptomatic cases of COVID-19 based on BPNN model

description: The Real data sets provided by the Health Commission of 31 provinces of China, Johns Hopkins University, and Baidu Migration to track all movements of Chinese people and government emergency measures.
DOI: 10.17632/pjdhzw982x.1
title: USMA DHR-3 LAOS Data

description: 3 sets of LAOS data omega=1(rad/s); strain amplitude=0.5(-)
DOI: 10.17632/9wr9x79kfy.1
title: SR & Writing
DOI: 10.17632/bdbzywxmbk.2
title: Novel transient multicomponent induction logging method for the determination of dip angle and anisotropy

description: We adopt the transmitter-receiver structure of multicomponent induction logging tool, use the step current as the excitation to numerically simulate the responses of transient multicomponent induction logging in homogenous transverse isotropic (TI) formation. And we proposed a determination method of apparent dip angle and anisotropy in time domain based on the algebraic combination of different components with respect to dip and anisotropy.
DOI: 10.17632/8f5x85f5g3.1
title: Knowledge, attitudes, and practices toward the COVID-19 among the adult population in Bangladesh: a cross-sectional online survey

description: The non-therapeutic measures taken by the Government of Bangladesh to tackle the pandemic of SARS-CoV-2 have little impact on the reduction of transmission of the virus as the adoption of preventive measures by the general population is predominantly a behavioral issue, and often influenced by their knowledge and attitudes. This study assessed the levels and determinants of knowledge, attitudes, and practices toward COVID-19 among the population of Bangladesh aged 18 years and above. This study adopted a cross-sectional survey design. Data was collected from 1056 respondents using the online platform Google Forms.
DOI: 10.17632/3bmmnfb4bp.1
title: KITTI-SEMSEG-UNIZG

description: This is a semantic segmentation dataset collected at University of Zagreb, Faculty of Electrical Engineering and Computing. A more complete dataset description is available at http://www.zemris.fer.hr/~ssegvic/multiclod/kitti_semseg_unizg.shtml This dataset contains groundtruth semantic segmentations for 445 hand-picked images from the KITTI dataset. We start from 146 images annotated by German Ros from UAB Barcelona, improve their annotation accuracy and contribute another 299 images. The annotations feature high quality pixel-level polygonal approximations into 11 semantic classes: building, vegetation, sky, road, fence, pole, sidewalk, sign, car, pedestrian, bicyclist. Dataset was designed by Ivan Krešo and Siniša Šegvić. Images were selected by Ivan Krešo. Annotation was performed by Ivan Borko, Matija Folnović, Petra Marče, Nikola Munđer and Dino Pačandi. The annotation tool was designed by Ivan Fabijanić.
DOI: 10.17632/2szmr4tg3z.2
title: Drinking Water Supply Technologies

description: Classification of technology options for Drinking Water Supply (DWS), classified by Capacity Requirement Level (CRL). It is a metric that defines the level a community must have to operate sustainably the DWS technology option. The DWS options are defined by five unit processes: Source Device, Treatment, Storage, and Distribution. The inventory of the DWS options was conducted based on the type of unit processes, and their classification was done using a machine learning algorithm.
DOI: 10.17632/nrx9xhrt38.1
title: Dataset and codes for "Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme"

description: Dataset and codes for "Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme". The source codes of SOFNN-HPS and other competitors (ANFIS, WM, WM-C, MLR, FNN-EBP, D-FNN, GD-FNN, and GEBF-OSFNN) can be downloaded from https://github.com/hyitzhb/SOFNN-HPS.
DOI: 10.17632/cgwvch6kn8.1
title: Numerical prediction of surface roughness of as-built electron beam melting parts: experimental data

description: The file Roughness.xlsx contains the roughness values measured on a Ti6Al4V sample made by Electron Beam Melting (EBM). The measurements have been used to validate a finite element model of the EBM process for predicting build quality such as the surface roughness and the lack of fusion. These measurements were collected and indexed as follows: the first number (from 1 to 4) indicates the index of the surface; the second number (from 1 to 3) specifies the measure replica.
DOI: 10.17632/mmdggmjcp6.1
title: Data for "Existence of Differential Belief Profiles of COVID-19 Narratives: The Role of Trust in Science"

description: This is the dataset used in preparation of the article described in the title. Currently submitted to BMC Public Health.
DOI: 10.17632/s6tzmsct2c.2
title: eIF3 associates with 80S ribosomes to promote translation elongation, mitochondrial homeostasis, and muscle health. Lin et al.
DOI: 10.17632/nst2pmhgdv.1
title: Online Relationship Marketing and Bank Trust

description: This dataset is based the Online Relationship Marketing (ORM) activities (engagement, interactivity, personalization, and collaboration) of banks and its impact on the dimensions of online trust (ability, benevolence, and integrity) among customers. Respondents were purposively sampled for the study. Each respondent was asked a qualifying question to know whether they had recently interacted with their bank online. This was to ensure that the prospective respondent fell within the sample population; after which they were given a survey to complete. The data was analysed using PLS SEM.
DOI: 10.17632/dp496jpd7h.4
title: Dataset: Coherent Fourier scatterometry reveals nerve fiber crossings in the brain

description: Coherent Fourier scatterometry with non-focused, normally incident light on brain tissue samples: The measurements were performed with a collimated laser beam (with a wavelength of 633 nm and a diameter between 0.1-1 mm). The light was transmitted through histological brain sections of 30-60 um (coronal vervet brain sections and 2-3 crossing sections of human optic tracts). The scattered light behind the sample was collected by a microscope objective and the distribution of the scattered light (Fourier transform of the image plane) was recorded by a camera. The measurements were performed for different samples (Vervet/OpticTracts, brain sections s0007-493), different beam diameters (100 um or 1120 um), different numerical apertures (NA = 0.14, 0.4, 0.8), different exposure times (10 - 600 ms), and different brain regions (cc = corpus callosum, cg = cingulum, cr = corona radiata, f = fornix; different x/y-coordinates). The data set contains the Scattering Patterns (distribution of scattered light, projected onto a hemisphere behind the sample), Azimuthal Integrals (scattering pattern integrated along the azimuthal angle, plotted against the distance from the center), and the Polar Integrals (scattering pattern integrated from the center to the outer border, plotted against the azimuthal angle [0°,360°]) for all measured tissue regions.
DOI: 10.17632/dp496jpd7h.3
title: Dataset: Coherent Fourier scatterometry reveals nerve fiber crossings in the brain

description: Coherent Fourier scatterometry with non-focused, normally incident light on brain tissue samples: The measurements were performed with a collimated laser beam (with a wavelength of 633 nm and a diameter between 0.1-1 mm). The light was transmitted through histological brain sections of 30-60 um (coronal vervet brain sections and 2-3 crossing optic tracts of a human optic chiasm). The scattered light behind the sample was collected by a microscope objective and the distribution of the scattered light (Fourier transform of the image plane) was recorded by a camera. The measurements were performed for different samples (Vervet/Chiasm, brain sections s0007-493), different beam diameters (100 um or 1120 um), different numerical apertures (NA = 0.14, 0.4, 0.8), different exposure times (10 - 600 ms), and different brain regions (cc = corpus callosum, cg = cingulum, cr = corona radiata, f = fornix; different x/y-coordinates). The data set contains the Scattering Patterns (distribution of scattered light, projected onto a hemisphere behind the sample), Azimuthal Integrals (scattering pattern integrated along the azimuthal angle, plotted against the distance from the center), and the Polar Integrals (scattering pattern integrated from the center to the outer border, plotted against the azimuthal angle [0°,360°]) for all measured brain regions.
DOI: 10.17632/hdw9xmsnhs.1
title: Diversifying selection detected in only a minority of xenobiotic-metabolizing CYP1-3 genes among primate species

description: This is the complete supplement, including data, for the pending publication of the same name in the journal Xenobiotica.
DOI: 10.17632/z4xm96sc48.1
title: Survey about Pig Production during COVID 19 pandemic in Salta, Argentina

description: In order to know the effects of the quarantine imposed by the Argentinian government due to COVID 19 pandemic, the authors, who are researchers at INTA Salta (National Institute of Agriculture and Farming Technology), made a survey directed to pig producers in Salta, Argentina, asking about different aspects. The survey was nested in Google drive, it had anonymous participation, with 5 multiple choice and 1 open question. Topics: Profitability, trade and commerce, measures for farm workers, difficulty in getting supplies and their suggestions regarding this pandemic situation. The link to answer the survey was sent by whatsapp to 40 pig producers who own more than 50 sows and produce hogs of 105 to 130 kg that are sent to slaughterhouses. 35% of the producers answered the survey, which was open from April 24 to April 29 of 2020. The aim of this work was to know how the COVID 19 quarantine affects pig producers in the province of Salta and to analyze the the changes that may be developing as a result of the isolation measures. Research hypothesis was that the quarantine imposed due to COVID 19 throughout the Argentine territory, harms Salta pig production, with negative effects in profitability, trade, the possibility of obtaining different necessary supplies, price obtained for sold hogs and changes regarding farm workers routines. We think this data could be useful in order to understand this particular unique situation of pandemic and could help government and other actors in the territory to take palliative measures for the pig producers based on their suggestions and needs.
DOI: 10.17632/fgfx3b5nh6.1
title: IL1B PPR manuscript data

description: Raw data for Harden et al., 2020 manuscript: Paired Transcriptomic and Proteomic Analysis Implicates IL-1β in the Pathogenesis of Papulopustular Rosacea Explants
DOI: 10.5281/zenodo.3701492
title: Summer aridity rather than management shapes fitness-related functional traits of the threatened mountain plant Arnica montana

description: Semi-natural mountain grasslands are increasingly exposed to environmental stress under climate change. However, which are the environmental factors that limit plants in these grasslands? Also, is the present management effective against these changes? Fitness-related functional traits may offer a way to detect changes in performance and provide new insights into their vulnerability to climate change. We investigated changes in performance and variability of functional traits of the mountain grassland target species <em>Arnica montana</em> along a climate gradient in Central German low mountain ranges. This gradient represents at its lower end climate conditions that are expected at its upper end under future climate change. We measured vegetative, generative and physiological traits to account for multiple ways of plant response to the environment. Using mixed effects and multivariate models, we evaluated changes in trait values among individuals as well as the variability of their populations in order to assess performance under changing summer aridity and different management regimes. Fitness-related performance of most traits showed strongly positive associations with reduced summer aridity at higher elevations, while only specific leaf area and leaf dry matter content showed no association. This suggests a higher performance level at less arid montane sites and that the physiological traits are less sensitive to this climate change factor. The coefficient of variation of almost all traits declined steadily with decreasing site aridity. We suggest that this reduced variability indicates a lower environmental stress level for <em>A. montana</em> towards its environmental optimum at montane elevations, especially because the trait performance increased simultaneously. Surprisingly, management factors and habitat characteristics had only low influence on both trait performance and variability. In summary, summer aridity had a stronger effect to shape the trait performance and variability of <em>A. montana</em> under increased environmental stress than management and other habitat characteristics.
description: The plant functional trait data of Arnica montana (individuals and populations) and data about the populations site and habitat characteristics. Modification date: 03/03/2020 Temporal coverage: Measurements taken in June 2019 Spatial Coverage: East Hesse (Vogelsberg, Spessart, Rhön Mountains) / North-East Bavaria (Rhön Mountains), Germany CSV separator: Semicolon
DOI: 10.5281/zenodo.3701491
title: Summer aridity rather than management shapes fitness-related functional traits of the threatened mountain plant Arnica montana

description: Semi-natural mountain grasslands are increasingly exposed to environmental stress under climate change. However, which are the environmental factors that limit plants in these grasslands? Also, is the present management effective against these changes? Fitness-related functional traits may offer a way to detect changes in performance and provide new insights into their vulnerability to climate change. We investigated changes in performance and variability of functional traits of the mountain grassland target species <em>Arnica montana</em> along a climate gradient in Central German low mountain ranges. This gradient represents at its lower end climate conditions that are expected at its upper end under future climate change. We measured vegetative, generative and physiological traits to account for multiple ways of plant response to the environment. Using mixed effects and multivariate models, we evaluated changes in trait values among individuals as well as the variability of their populations in order to assess performance under changing summer aridity and different management regimes. Fitness-related performance of most traits showed strongly positive associations with reduced summer aridity at higher elevations, while only specific leaf area and leaf dry matter content showed no association. This suggests a higher performance level at less arid montane sites and that the physiological traits are less sensitive to this climate change factor. The coefficient of variation of almost all traits declined steadily with decreasing site aridity. We suggest that this reduced variability indicates a lower environmental stress level for <em>A. montana</em> towards its environmental optimum at montane elevations, especially because the trait performance increased simultaneously. Surprisingly, management factors and habitat characteristics had only low influence on both trait performance and variability. In summary, summer aridity had a stronger effect to shape the trait performance and variability of <em>A. montana</em> under increased environmental stress than management and other habitat characteristics.
description: The plant functional trait data of Arnica montana (individuals and populations) and data about the populations site and habitat characteristics. Modification date: 03/03/2020 Temporal coverage: Measurements taken in June 2019 Spatial Coverage: East Hesse (Vogelsberg, Spessart, Rhön Mountains) / North-East Bavaria (Rhön Mountains), Germany CSV separator: Semicolon
DOI: 10.17632/xf6gkjj5cr.1
title: Semantic Priming of Compounds

description: We examine the morphological decomposition of masked compound primes.
DOI: 10.17632/pk8k7sp6gd.1
title: COVID-19-SHIYAN

description: This dataset contains COVID-19 cases data with time of exposure and symptom onset in Shiyan, Hubei province
DOI: 10.25387/g3.12498020
title: Supplemental Material for Liu, Mattila and Hietakangas, 2020

description: Plasmid library of epitope tagged Drosophila transcriptional regulators.<br>
DOI: 10.25387/g3.12498020.v1
title: Supplemental Material for Liu, Mattila and Hietakangas, 2020

description: Plasmid library of epitope tagged Drosophila transcriptional regulators.<br>
DOI: 10.5281/zenodo.3899008
title: PRJNA638224 - BCR repertoire sequencing from COVID-19 patients

description: <strong>Description</strong> These are the processed BCR repertoire sequence data that accompany the following manuscript: “Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures”. The manuscript preprint is available at doi: https://doi.org/10.1101/2020.05.20.106294. The raw sequence data are available on SRA under the BioProject PRJNA638224 <strong>Sequence processing</strong> The Immcantation framework (docker container v3.0.0) was used for sequence processing. Briefly, paired-end reads were joined based on a minimum overlap of 20 nt, and a max error of 0.2, and reads with a mean phred score below 20 were removed. Primer regions, including UMIs and sample barcodes, were then identified within each read, and trimmed. Together, the sample barcode, UMI, and constant region primer were used to assign molecular groupings for each read. Within each grouping, usearch, was used to subdivide the grouping, with a cutoff of 80% nucleotide identity, to account for randomly overlapping UMIs. Each of the resulting groupings is assumed to represent reads arising from a single RNA. Reads within each grouping were then aligned, and a consensus sequence determined. For each processed sequence, IgBlast was used to determine V, D and J gene segments, and locations of the CDRs and FWRs. Isotype was determined based on comparison to germline constant region sequences. Sequences annotated as unproductive by IgBlast were removed. <strong>Sequence data column description</strong> <strong>sample_id </strong>Unique identifier for each sequencing library <strong>sequence_id </strong>Unique identifier for a sequence within a sample_id <strong>sequence_alignment </strong>IMGT gapped nucleotide sequence <strong>germline_alignment </strong>IMGT gapped germline sequence <strong>v_call </strong>IGHV gene segment(s) and allele <strong>d_call </strong>IGHD gene segment(s) and allele <strong>j_call </strong>IGHJ gene segment(s) and allele <strong>c_call </strong>Isotype subclass <strong>junction </strong>Junction nucleotide sequence <strong>junction_aa </strong>Junction amino acid sequence <strong>duplicate_count </strong>UMI count for the given unique sequence <strong>consensus_count </strong>Raw read count for the given unique sequence <strong>Sequence metadata column description</strong> <strong>sample_id </strong>Unique identifier for each sequencing library <strong>bioproject_accession </strong>NCBI BioProject accession number <strong>biosample_accession </strong>NCBI BioSample accession number <strong>sra_accession </strong>NCBI SRA accession number <strong>sex </strong>Sex of patient <strong>age </strong>Age of patient at time of sampling <strong>ethnicity </strong>Ethnicity of patient <strong>health_state </strong>One of worsening, stable, or improving
DOI: 10.5281/zenodo.3886394
title: PRJNA638224 - BCR repertoire sequencing from COVID-19 patients

description: <strong>Description</strong> These are the processed BCR repertoire sequence data that accompany the following manuscript: “Deep sequencing of B cell receptor repertoires from COVID-19 patients reveals strong convergent immune signatures”. The manuscript preprint is available at doi: https://doi.org/10.1101/2020.05.20.106294. The raw sequence data are available on SRA under the BioProject PRJNA638224 <strong>Sequence processing</strong> The Immcantation framework (docker container v3.0.0) was used for sequence processing. Briefly, paired-end reads were joined based on a minimum overlap of 20 nt, and a max error of 0.2, and reads with a mean phred score below 20 were removed. Primer regions, including UMIs and sample barcodes, were then identified within each read, and trimmed. Together, the sample barcode, UMI, and constant region primer were used to assign molecular groupings for each read. Within each grouping, usearch, was used to subdivide the grouping, with a cutoff of 80% nucleotide identity, to account for randomly overlapping UMIs. Each of the resulting groupings is assumed to represent reads arising from a single RNA. Reads within each grouping were then aligned, and a consensus sequence determined. For each processed sequence, IgBlast was used to determine V, D and J gene segments, and locations of the CDRs and FWRs. Isotype was determined based on comparison to germline constant region sequences. Sequences annotated as unproductive by IgBlast were removed. <strong>Sequence data column description</strong> <strong>sample_id </strong>Unique identifier for each sequencing library <strong>sequence_id </strong>Unique identifier for a sequence within a sample_id <strong>sequence_alignment </strong>IMGT gapped nucleotide sequence <strong>germline_alignment </strong>IMGT gapped germline sequence <strong>v_call </strong>IGHV gene segment(s) and allele <strong>d_call </strong>IGHD gene segment(s) and allele <strong>j_call </strong>IGHJ gene segment(s) and allele <strong>c_call </strong>Isotype subclass <strong>junction </strong>Junction nucleotide sequence <strong>junction_aa </strong>Junction amino acid sequence <strong>duplicate_count </strong>UMI count for the given unique sequence <strong>consensus_count </strong>Raw read count for the given unique sequence <strong>Sequence metadata column description</strong> <strong>sample_id </strong>Unique identifier for each sequencing library <strong>bioproject_accession </strong>NCBI BioProject accession number <strong>biosample_accession </strong>NCBI BioSample accession number <strong>sra_accession </strong>NCBI SRA accession number <strong>sex </strong>Sex of patient <strong>age </strong>Age of patient at time of sampling <strong>ethnicity </strong>Ethnicity of patient <strong>health_state </strong>One of worsening, stable, or improving
DOI: 10.17632/2ggpdby7ww.1
title: Synaptic frequency decoding by the CaMKII holoenzyme

description: Synaptic frequency decoding underlies higher brain functions and has been tightly linked to CaMKII autophosphorylation at T286 (pT286). However, pT286 mediates both long-term potentiation (LTP) and depression (LTD), two opposing forms of synaptic plasticity that are induced by different frequencies. We show that the frequency decoding in the LTP- versus LTD-decision is instead mediated by the inhibitory CaMKII autophosphorylation at T305/306 (pT305/306). This phosphorylation also determined CaMKII movement to excitatory versus inhibitory synapses after LTP- versus LTD-stimuli. Thereby, pT305/306 communicated excitatory LTD-stimuli to inhibitory synapses, where it increased GABAA-receptor surface expression. Within the 12meric CaMKII holoenzymes, fast pT305/306 required prior pT286 and then curbed CaMKII activity by two mechanisms: (i) a cis-subunit reaction reduced both Ca2+-stimulation and autonomous activity, and (ii) a trans-subunit reaction enabled complete activity shut-down and feed forward inhibition of further pT286. These are surprising fundamental additions to the long-studied CaMKII regulation and function in neuronal plasticity.