cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6046088
title: Dataset for Hohls et al "Controlling the error mechanism in a tunable-barrier non-adiabatic charge pump by dynamic gate compensation"

description: Dataset for Hohls et al "Controlling the error mechanism in a tunable-barrier non-adiabatic charge pump by dynamic gate compensation", https://arxiv.org/abs/2112.10713
description: This work was supported by the Joint Research Project SEQUOIA (17FUN04). This project received funding from the European Metrology Programme for Innovation and Research (EMPIR) cofinanced by the Participating States and from the European Unions Horizon 2020 research and innovation programme.
DOI: 10.48370/ofd/br2gam/a5pttv
title: m-0269.tif

description: :unav
DOI: 10.48370/ofd/br2gam/jmo3vi
title: 269.S3Dm

description: :unav
DOI: 10.48370/ofd/br2gam/olya07
title: 269_2.S3Dm

description: :unav
DOI: 10.48370/ofd/noprwy/u23j7b
title: 0689.S3Dm

description: :unav
DOI: 10.48370/ofd/br2gam
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 269

description: Grzyby makromycetes
DOI: 10.48370/ofd/noprwy/iwtaoj
title: 689_2.S3Dm

description: :unav
DOI: 10.48370/ofd/noprwy
title: Botryobasidium subcoronatum (Hӧhn. Litsch.) Donk, M-0689

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6045499
title: Dataset for Section 1.1 "Electrical quantum metrology with single electrons" of "Roadmap on quantum nanotechnologies" DOI:10.1088/1361-6528/abb333

description: Dataset for Section 1.1 "Electrical quantum metrology with single electrons" in Arne Laucht et al Nanotechnology 32, 162003 (2021) "Roadmap on quantum nanotechnologies"
description: This work was supported by the Joint Research Project SEQUOIA (17FUN04). This project received funding from the European Metrology Programme for Innovation and Research (EMPIR) cofinanced by the Participating States and from the European Unions Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.6045498
title: Dataset for Section 1.1 "Electrical quantum metrology with single electrons" of "Roadmap on quantum nanotechnologies" DOI:10.1088/1361-6528/abb333

description: Dataset for Section 1.1 "Electrical quantum metrology with single electrons" in Arne Laucht et al Nanotechnology 32, 162003 (2021) "Roadmap on quantum nanotechnologies"
description: This work was supported by the Joint Research Project SEQUOIA (17FUN04). This project received funding from the European Metrology Programme for Innovation and Research (EMPIR) cofinanced by the Participating States and from the European Unions Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.19354652
title: Supplementary Material for: Detection of Circulating Peanut Components in Serum after Ingestion

description: <b><i>Introduction:</i></b> Detection of specific food allergens brought into circulation following ingestion is complicated by the minute amounts present in serum. We therefore aimed to assess the utility of selective removal of IgE against peanut components using ImmunoCAP combined with the basophil histamine release (HR) assay (BHRA) to identify the absorbed allergen components after ingestion of peanut. <b><i>Methods:</i></b> Serum from six healthy individuals was drawn before and 1 h after ingestion of 100 g peanut. Serum from two peanut allergic patients was depleted for IgE against single allergen components by incubation with ImmunoCAPs coupled with either Ara h 1; 2; 3 or 6 before donor basophils were passively sensitized with the serum preparations. The sensitized cells were challenged with serum obtained from the six individuals before and after ingestion of peanut, and HR was measured after serum provocation. <b><i>Results:</i></b> Ara h 2 and Ara h 6 were detected in serum 1 h after ingestion in 6/6 individuals by negative selection. Depletion of specific IgE against Ara h 2 or Ara h 6 almost completely abolished the response to serum provocation, indicating a sequence homology between the two allergen components in serum. Ara h 1 was demonstrated in 5/6 sera and Ara h 3 in 1/6 sera. <b><i>Conclusion:</i></b> This study is a proof of concept showing that passive sensitization of basophils with sera depleted of component-specific IgE can be used to identify food allergen components present in serum after ingestion.
DOI: 10.6084/m9.figshare.19354652.v1
title: Supplementary Material for: Detection of Circulating Peanut Components in Serum after Ingestion

description: <b><i>Introduction:</i></b> Detection of specific food allergens brought into circulation following ingestion is complicated by the minute amounts present in serum. We therefore aimed to assess the utility of selective removal of IgE against peanut components using ImmunoCAP combined with the basophil histamine release (HR) assay (BHRA) to identify the absorbed allergen components after ingestion of peanut. <b><i>Methods:</i></b> Serum from six healthy individuals was drawn before and 1 h after ingestion of 100 g peanut. Serum from two peanut allergic patients was depleted for IgE against single allergen components by incubation with ImmunoCAPs coupled with either Ara h 1; 2; 3 or 6 before donor basophils were passively sensitized with the serum preparations. The sensitized cells were challenged with serum obtained from the six individuals before and after ingestion of peanut, and HR was measured after serum provocation. <b><i>Results:</i></b> Ara h 2 and Ara h 6 were detected in serum 1 h after ingestion in 6/6 individuals by negative selection. Depletion of specific IgE against Ara h 2 or Ara h 6 almost completely abolished the response to serum provocation, indicating a sequence homology between the two allergen components in serum. Ara h 1 was demonstrated in 5/6 sera and Ara h 3 in 1/6 sera. <b><i>Conclusion:</i></b> This study is a proof of concept showing that passive sensitization of basophils with sera depleted of component-specific IgE can be used to identify food allergen components present in serum after ingestion.
DOI: 10.6084/m9.figshare.19354577
title: DATA1_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There are variables of age, height, parity, education, residence, income, smoking_now (during pregnancy), smoking_before, and fetus sex which have all been collected once. The variables that have been collected repeatedly (in the first, second and third trimester and 6 weeks postpartum) are the gestation age, recent health problems and scores for the Disgust Scale-Revised (DS-R), specifically subscales "core", "animal reminder" and "contamination" and for the overall score.We studied the effect of recent health problems on disgust sensitivity in different time periods of pregnancy and after birth. <br>Data from this dataset appear in a different format in the dataset: DATA2_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx , which has been used for a different analysis in the same study.
DOI: 10.6084/m9.figshare.19354643.v1
title: DATA2_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There is the variable period, which indicates different times at which data was collected - the first, second, and third trimester and 6 weeks postpartum. There are variables of parity, age and fetus sex, which have been collected once and are therefore the same in all periods. The variables that have been collected repeatedly are the gestation age, recent health problems and scores for the Disgust Scale-Revised (DS-R), specifically the subscales "core", "animal reminder" and "contamination" and for the overall score.We studied the longitudinal changes in disgust sensitivity during pregnancy and after birth using mixed models.<br><br>Data from this dataset appear in a different format in the dataset: DATA1_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx , which has been used for a different analysis in the same study.
DOI: 10.6084/m9.figshare.19354577.v1
title: DATA1_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There are variables of age, height, parity, education, residence, income, smoking_now (during pregnancy), smoking_before, and fetus sex which have all been collected once. The variables that have been collected repeatedly (in the first, second and third trimester and 6 weeks postpartum) are the gestation age, recent health problems and scores for the Disgust Scale-Revised (DS-R), specifically subscales "core", "animal reminder" and "contamination" and for the overall score.We studied the effect of recent health problems on disgust sensitivity in different time periods of pregnancy and after birth. <br>Data from this dataset appear in a different format in the dataset: DATA2_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx , which has been used for a different analysis in the same study.
DOI: 10.6084/m9.figshare.19354643
title: DATA2_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There is the variable period, which indicates different times at which data was collected - the first, second, and third trimester and 6 weeks postpartum. There are variables of parity, age and fetus sex, which have been collected once and are therefore the same in all periods. The variables that have been collected repeatedly are the gestation age, recent health problems and scores for the Disgust Scale-Revised (DS-R), specifically the subscales "core", "animal reminder" and "contamination" and for the overall score.We studied the longitudinal changes in disgust sensitivity during pregnancy and after birth using mixed models.<br><br>Data from this dataset appear in a different format in the dataset: DATA1_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx , which has been used for a different analysis in the same study.
DOI: 10.5281/zenodo.6352601
title: CG:Shop 2022 Results: SAT-Based Local Search for Plane Subgraph Partitions

description: The results for the CG:SHOP 2022 challenge achieved by team tuwien.
DOI: 10.5281/zenodo.6352600
title: CG:Shop 2022 Results: SAT-Based Local Search for Plane Subgraph Partitions

description: The results for the CG:SHOP 2022 challenge achieved by team tuwien.
DOI: 10.5281/zenodo.6352615
title: Data from 168 fungicide trials in wheat fields across Europe 2014-2018

description: The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by Corteva Agriscience, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.6084/m9.figshare.8982155
title: A MULTILOCUS PHYLOGENY OF GENUS DAPHNIPHYLLUM (DAPHNIPHYLLACEAE)

description: Table S1: Sampling information and GenBank accession numbers of the studied <i>Daphniphyllum</i> plants and outgroups. Table S2: The primers and amplification protocols applied in this study. File S3: the cp (<i>psb</i>A-<i>trn</i>H spacer + <i>trn</i>L intron) alignments and trees. File S4: the ITS alignments and trees. File S5: the hypothesis tree (Ho) and constraint ML tree for the topological conflict analyses using cp alignment. File S6: the hypothesis tree (Ho) and constraint ML tree for the topological conflict analyses using ITS alignment. Table S7: List of the <i>Daphniphyllum</i> herbarium samples. Figure S8. Bayesian inference (BI) of <i>Daphniphyllum </i>based on the ITS+cp combined alignment with a length of 1602-bp and 127 indels. Note that natural hybrid taxa are removed. Numbers after taxa refer to Table S1. Numbers at nodes show Bayesian posterior probabilities / ML bootstrap values only when posterior probability is &gt; 0.70 or bootstrap value is &gt; 50. The arrow shows the crown node of <i>Daphniphyllum</i>. Clades are indicated as Fig.<b> </b>2.
DOI: 10.6084/m9.figshare.8982155.v1
title: A MULTILOCUS PHYLOGENY OF GENUS DAPHNIPHYLLUM (DAPHNIPHYLLACEAE)

description: Table S1: Sampling information and GenBank accession numbers of the studied <i>Daphniphyllum</i> plants and outgroups. Table S2: The primers and amplification protocols applied in this study. File S3: the cp (<i>psb</i>A-<i>trn</i>H spacer + <i>trn</i>L intron) alignments and trees. File S4: the ITS alignments and trees. File S5: the hypothesis tree (Ho) and constraint ML tree for the topological conflict analyses using cp alignment. File S6: the hypothesis tree (Ho) and constraint ML tree for the topological conflict analyses using ITS alignment. Table S7: List of the <i>Daphniphyllum</i> herbarium samples. Figure S8. Bayesian inference (BI) of <i>Daphniphyllum </i>based on the ITS+cp combined alignment with a length of 1602-bp and 127 indels. Note that natural hybrid taxa are removed. Numbers after taxa refer to Table S1. Numbers at nodes show Bayesian posterior probabilities / ML bootstrap values only when posterior probability is &gt; 0.70 or bootstrap value is &gt; 50. The arrow shows the crown node of <i>Daphniphyllum</i>. Clades are indicated as Fig.<b> </b>2.
DOI: 10.6084/m9.figshare.19354661
title: Questionnaire, Responses and Analysis

description: This excel spreadsheet contains the original questionnaire that was presented to respondents, along with their answers (contacts have been omitted) and an analysis on the dataset.
DOI: 10.6084/m9.figshare.19354661.v1
title: Questionnaire, Responses and Analysis

description: This excel spreadsheet contains the original questionnaire that was presented to respondents, along with their answers (contacts have been omitted) and an analysis on the dataset.
DOI: 10.5281/zenodo.6350576
title: WRONG UPLOAD

description: The files corresponding to stimulus, dataset and analogic frame correspond to the raw data obtained during the stimulation of the Degu retina with white noise. The compressed file "code_and_data_processing.rar" contains all the code used for the generation of the figures of the article, neural network training and supplementary figures.
DOI: 10.5281/zenodo.6350575
title: WRONG UPLOAD

description: The files corresponding to stimulus, dataset and analogic frame correspond to the raw data obtained during the stimulation of the Degu retina with white noise. The compressed file "code_and_data_processing.rar" contains all the code used for the generation of the figures of the article, neural network training and supplementary figures.
DOI: 10.48370/ofd/xy82ra/jbxov7
title: m-0740.tif

description: :unav
DOI: 10.48370/ofd/xy82ra/5mefpc
title: 740_1.S3Dm

description: :unav
DOI: 10.48370/ofd/xy82ra/wwcnjv
title: 740_2.S3Dm

description: :unav
DOI: 10.48370/ofd/vk2nhl/svbbt0
title: m-1993.tif

description: :unav
DOI: 10.48370/ofd/xy82ra
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 740

description: Grzyby makromycetes
DOI: 10.48370/ofd/vk2nhl/wggjwh
title: 1993.S3Dm

description: :unav
DOI: 10.48370/ofd/vk2nhl
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 1993

description: Grzyby makromycetes
DOI: 10.5281/zenodo.6352656
title: Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity.

description: <strong>Abstract</strong> Natural Killer (NK) cells are innate lymphocytes with central roles in immunosurveillance and are implicated in autoimmune pathogenesis. The degree to which regulatory variants affect NK gene expression is poorly understood. We performed expression quantitative trait locus (eQTL) mapping of negatively selected NK cells from a population of healthy Europeans (n=245). We find a significant subset of genes demonstrate eQTL specific to NK cells and these are highly informative of human disease, in particular autoimmunity. An NK cell transcriptome-wide association study (TWAS) across five common autoimmune diseases identified further novel associations at 27 genes. In addition to these <em>cis</em> observations, we find novel master-regulatory regions impacting expression of <em>trans</em> gene networks at regions including 19q13.4, the Killer cell Immunoglobulin-like Receptor (KIR) Region, <em>GNLY</em>, <em>MC1R</em> and<em> UVSSA</em>. Our findings provide new insights into the unique biology of NK cells, demonstrating markedly different eQTL from other immune cells, with implications for disease mechanisms. <strong>Preprint</strong> https://www.biorxiv.org/content/10.1101/2021.05.10.443088v1 <strong>Dataset</strong> nk_raw_for_zenodo.txt: Matrix of raw gene expression at 47,209 probes in primary human NK cells from 245 healthy individuals of European ancestry. Gene expression is quantified using the Illumina HumanHT-12 v4 BeadChip gene expression array platform. Column names represent Array Address ID for each probe, and row names represent pseudonymised sample identifiers, which can be matched to sample genotypes. Sample genotypes are available at the European Genome-Phenome Archive with accession ID EGAS00000000109). probes_passing_QC.txt: List of probes passing quality control; probe sequences mapping to a unique genomic locus, and probe sequences not containing common genomic variation (minor allele frequency &gt;1%), n=29,002. Column names are Array Address ID (probeID), Ensembl ID (ensembl), Gene ID (gene), and Illumina probe ID (ilmn).
DOI: 10.5281/zenodo.6352655
title: Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity.

description: <strong>Abstract</strong> Natural Killer (NK) cells are innate lymphocytes with central roles in immunosurveillance and are implicated in autoimmune pathogenesis. The degree to which regulatory variants affect NK gene expression is poorly understood. We performed expression quantitative trait locus (eQTL) mapping of negatively selected NK cells from a population of healthy Europeans (n=245). We find a significant subset of genes demonstrate eQTL specific to NK cells and these are highly informative of human disease, in particular autoimmunity. An NK cell transcriptome-wide association study (TWAS) across five common autoimmune diseases identified further novel associations at 27 genes. In addition to these <em>cis</em> observations, we find novel master-regulatory regions impacting expression of <em>trans</em> gene networks at regions including 19q13.4, the Killer cell Immunoglobulin-like Receptor (KIR) Region, <em>GNLY</em>, <em>MC1R</em> and<em> UVSSA</em>. Our findings provide new insights into the unique biology of NK cells, demonstrating markedly different eQTL from other immune cells, with implications for disease mechanisms. <strong>Preprint</strong> https://www.biorxiv.org/content/10.1101/2021.05.10.443088v1 <strong>Dataset</strong> nk_raw_for_zenodo.txt: Matrix of raw gene expression at 47,209 probes in primary human NK cells from 245 healthy individuals of European ancestry. Gene expression is quantified using the Illumina HumanHT-12 v4 BeadChip gene expression array platform. Column names represent Array Address ID for each probe, and row names represent pseudonymised sample identifiers, which can be matched to sample genotypes. Sample genotypes are available at the European Genome-Phenome Archive with accession ID EGAS00000000109). probes_passing_QC.txt: List of probes passing quality control; probe sequences mapping to a unique genomic locus, and probe sequences not containing common genomic variation (minor allele frequency &gt;1%), n=29,002. Column names are Array Address ID (probeID), Ensembl ID (ensembl), Gene ID (gene), and Illumina probe ID (ilmn).
DOI: 10.6084/m9.figshare.19354691
title: Data.csv

description: Rate of Return of Stock Index from Sample Seven Countries (or Regions)
DOI: 10.6084/m9.figshare.19354691.v1
title: Data.csv

description: Rate of Return of Stock Index from Sample Seven Countries (or Regions)
DOI: 10.18112/openneuro.ds004068.v1.0.0
title: AutomatedZShimSpinalCord
DOI: 10.6084/m9.figshare.19354676
title: Heterogeneity effect on ASR

description: The data provided here for plotting figures in our paper.
DOI: 10.17632/6bm554sc93.1
title: The role of acinar content at pancreatic resection margin in the development of postoperative pancreatic fistula and acute pancreatitis after pancreaticoduodenectomy

description: Data refer to the paper doi: 10.1016/j.surg.2021.03.047

Data from 388 consecutive patients who underwent pancreaticoduodenectomy in the period 2018–2019. Pancreatic section margins were histologically assessed for acinar, fibrosis, and fat content.
DOI: 10.34740/kaggle/dsv/3298762
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6352565
title: Boosting the Near-Infrared Emission of Ag2S Nanoparticles by a Controllable Surface Treatment for Bioimaging Applications

description: Dataset of https://pubs.acs.org/doi/10.1021/acsami.1c19344
DOI: 10.5281/zenodo.6352564
title: Boosting the Near-Infrared Emission of Ag2S Nanoparticles by a Controllable Surface Treatment for Bioimaging Applications

description: Dataset of https://pubs.acs.org/doi/10.1021/acsami.1c19344
DOI: 10.5281/zenodo.6352735
title: Data from 18 fungicide trials on potato late blight in UK and Ireland 2013-2017

description: The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by Corteva Agriscience, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.5281/zenodo.6352734
title: Data from 18 fungicide trials on potato late blight in UK and Ireland 2013-2017

description: The data set comprises records of disease incidence, crop growth stage and yield from untreated and treated plots. The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by Corteva Agriscience, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.24400/802406/ka3s-7q15
title: CLU1 STAFF Caveats - Time Interval with no Sun Reference Pulse

description: This dataset contains caveats for the SM and PSD datasets from the STAFF-SA instrument on Cluster 1. This caveats dataset provides the users time interval when no Sun pulse (TSRP) was recorded in the S/C housekeeping data. Note that it can be in eclipse period but not especially.
DOI: 10.24400/802406/f84k-0898
title: CLU1 STAFF-SC Magnetic Field Spectra in GSE (up to 12.5Hz)

description: This dataset contains calibrated Complex Spectra of the magnetic field measured by STAFF-SC from 0.00Hz to 12.40 Hz with a resolution of 0.097659 Hz x 10.24 s, in NBR mode on the Cluster C1 spacecraft.