cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14274266
title: Additional file 15 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 15: Table S4. Description and cluster assignment of the 52 genes for which molecular studies have been performed.
DOI: 10.6084/m9.figshare.14274266.v1
title: Additional file 15 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 15: Table S4. Description and cluster assignment of the 52 genes for which molecular studies have been performed.
DOI: 10.6084/m9.figshare.14274275
title: Additional file 18 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 18: Table S5. Characteristics of the 1070 genes encoding small secreted proteins (SSP).
DOI: 10.6084/m9.figshare.14274275.v1
title: Additional file 18 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 18: Table S5. Characteristics of the 1070 genes encoding small secreted proteins (SSP).
DOI: 10.6084/m9.figshare.14274299.v1
title: Additional file 3 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 3: Table S2. Mapping results for the 102 samples subjected to RNA sequencing on the L. maculans and L. biglobosa genomes.
DOI: 10.6084/m9.figshare.14274299
title: Additional file 3 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 3: Table S2. Mapping results for the 102 samples subjected to RNA sequencing on the L. maculans and L. biglobosa genomes.
DOI: 10.6084/m9.figshare.14274470
title: Additional file 2 of Prevalence of dry eye syndrome in association with the use of contact lenses in Saudi Arabia

description: Additional file 2.
DOI: 10.6084/m9.figshare.14274470.v1
title: Additional file 2 of Prevalence of dry eye syndrome in association with the use of contact lenses in Saudi Arabia

description: Additional file 2.
DOI: 10.6084/m9.figshare.14274603
title: Additional file 1 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 1: Table S1. Sequences, genomic coordinates, and gene targets for designed guide RNAs.
DOI: 10.6084/m9.figshare.14274603.v1
title: Additional file 1 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 1: Table S1. Sequences, genomic coordinates, and gene targets for designed guide RNAs.
DOI: 10.6084/m9.figshare.14274609
title: Additional file 3 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 3: Table S2 Guide RNAs associated with random nucleotide barcodes.
DOI: 10.6084/m9.figshare.14274609.v1
title: Additional file 3 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 3: Table S2 Guide RNAs associated with random nucleotide barcodes.
DOI: 10.6084/m9.figshare.14274612.v1
title: Additional file 4 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 4: Table S3. Barcode abundance measurements from deep sequencing.
DOI: 10.6084/m9.figshare.14274612
title: Additional file 4 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 4: Table S3. Barcode abundance measurements from deep sequencing.
DOI: 10.6084/m9.figshare.14274615
title: Additional file 5 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 5: Table S4. Guide RNA fitness estimates derived from four timepoints of growth in two biological replicate cultures.
DOI: 10.6084/m9.figshare.14274615.v1
title: Additional file 5 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 5: Table S4. Guide RNA fitness estimates derived from four timepoints of growth in two biological replicate cultures.
DOI: 10.6084/m9.figshare.14274618
title: Additional file 6 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 6: Tables S5 through S7. Gene ontology enrichment analysis of guide RNA fitness effects.
DOI: 10.6084/m9.figshare.14274618.v1
title: Additional file 6 of A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

description: Additional file 6: Tables S5 through S7. Gene ontology enrichment analysis of guide RNA fitness effects.
DOI: 10.6084/m9.figshare.14274631
title: Additional file 2 of Phylogeography and population genetic structure of red muntjacs: evidence of enigmatic Himalayan red muntjac from India

description: Additional file 2: Table S5. Microsatellite genotype data of Indian red muntjac samples.
DOI: 10.6084/m9.figshare.14274631.v1
title: Additional file 2 of Phylogeography and population genetic structure of red muntjacs: evidence of enigmatic Himalayan red muntjac from India

description: Additional file 2: Table S5. Microsatellite genotype data of Indian red muntjac samples.
DOI: 10.6084/m9.figshare.14274646
title: Additional file 4 of Occupancy modeling and resampling overcomes low test sensitivity to produce accurate SARS-CoV-2 prevalence estimates

description: Additional file 4. Simulation data. Simulation data summarized by simulation parameter combination. These data were used for all plots presented within the paper.
DOI: 10.6084/m9.figshare.14273576
title: Global snowmelt onset dataset from spaceborne radiometer observations

description: A 40-year integrated global snowmelt onset dataset (1979–2018) is produced by combining the estimates over sea ice, ice sheets and the terrestrial snow from spaceborne microwave radiometers. <br>The melt onset dataset is produced over the Northern Hemisphere (NH) and Southern Hemisphere (SH) for each year, with a spatial resolution of 25 km. Note that NH_1987 is not included due to the continuous missing of satellite observations. <br>The globally integrated snowmelt onset (MO) dataset brings new insights into the climate dynamics in the cryosphere and the associated atmospheric controls.<br>
DOI: 10.5519/qd.lv14zngt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5281/zenodo.4630543
title: Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin

description: <strong>Description</strong> This dataset of participant, field blank and quality control liquid-chromatography-mass spectrometry .raw files supports the following article: Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin - EClinicalMedicine (thelancet.com) <strong>Background</strong> The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather than looking for the virus itself. <strong>Methods and attached dataset description</strong> In this pilot study, sebum samples were collected from 67 hospitalised patients (30 COVID-19 positive and 37 COVID-19 negative) by gauze swab. Lipidomics analysis was carried out using liquid chromatography mass spectrometry, identifying 998 reproducible features. Univariate and multivariate statistical analyses were applied to the resulting feature set. The dataset uploaded here represents .raw liquid chromatography-mass spectrometry files for participants (triplicate injections), field blanks and pooled quality control standards, as well as the output peak:area matrix. <strong>Findings</strong> Lipid levels were depressed in COVID-19 positive participants, indicative of dyslipidemia; <em>p</em>-values of 0·022 and 0·015 were obtained for triglycerides and ceramides respectively, with effect sizes of 0·44 and 0·57. Partial Least Squares-Discriminant Analysis showed separation of COVID-19 positive and negative participants with sensitivity of 57% and specificity of 68%, improving to 79% and 83% respectively when controlled for confounding comorbidities. <strong>Interpretation</strong> COVID-19 dysregulates many areas of metabolism; in this work we show that the skin lipidome can be added to the list. Given that samples can be provided quickly and painlessly, we conclude that sebum is worthy of future consideration for clinical sampling.
description: This upload represents the underlying mass spectrometry .RAW files and processed peak:area matrix used in the preparation of the journal article found at: https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(21)00066-3/fulltext Funding was provided for sample collection by the EPSRC Impact Acceleration Account, as well as EPSRC Fellowship Funding EP/R031118/1. Mass Spectrometry was funded under EP/P001440/1. Sample collection and processing was funded by the University of Surrey and the BBSRC BB/T002212/1. The funding bodies were neither involved in the design of the study nor in the analysis of the data.
DOI: 10.5281/zenodo.4630542
title: Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin

description: <strong>Description</strong> This dataset of participant, field blank and quality control liquid-chromatography-mass spectrometry .raw files supports the following article: Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin - EClinicalMedicine (thelancet.com) <strong>Background</strong> The COVID-19 pandemic has led to an unprecedented demand for testing - for diagnosis and prognosis - as well as for investigation into the impact of the disease on the host metabolism. Sebum sampling has the potential to support both needs by looking at what the virus does to us, rather than looking for the virus itself. <strong>Methods and attached dataset description</strong> In this pilot study, sebum samples were collected from 67 hospitalised patients (30 COVID-19 positive and 37 COVID-19 negative) by gauze swab. Lipidomics analysis was carried out using liquid chromatography mass spectrometry, identifying 998 reproducible features. Univariate and multivariate statistical analyses were applied to the resulting feature set. The dataset uploaded here represents .raw liquid chromatography-mass spectrometry files for participants (triplicate injections), field blanks and pooled quality control standards, as well as the output peak:area matrix. <strong>Findings</strong> Lipid levels were depressed in COVID-19 positive participants, indicative of dyslipidemia; <em>p</em>-values of 0·022 and 0·015 were obtained for triglycerides and ceramides respectively, with effect sizes of 0·44 and 0·57. Partial Least Squares-Discriminant Analysis showed separation of COVID-19 positive and negative participants with sensitivity of 57% and specificity of 68%, improving to 79% and 83% respectively when controlled for confounding comorbidities. <strong>Interpretation</strong> COVID-19 dysregulates many areas of metabolism; in this work we show that the skin lipidome can be added to the list. Given that samples can be provided quickly and painlessly, we conclude that sebum is worthy of future consideration for clinical sampling.
description: This upload represents the underlying mass spectrometry .RAW files and processed peak:area matrix used in the preparation of the journal article found at: https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(21)00066-3/fulltext Funding was provided for sample collection by the EPSRC Impact Acceleration Account, as well as EPSRC Fellowship Funding EP/R031118/1. Mass Spectrometry was funded under EP/P001440/1. Sample collection and processing was funded by the University of Surrey and the BBSRC BB/T002212/1. The funding bodies were neither involved in the design of the study nor in the analysis of the data.
DOI: 10.6084/m9.figshare.14274646.v1
title: Additional file 4 of Occupancy modeling and resampling overcomes low test sensitivity to produce accurate SARS-CoV-2 prevalence estimates

description: Additional file 4. Simulation data. Simulation data summarized by simulation parameter combination. These data were used for all plots presented within the paper.
DOI: 10.17608/k6.auckland.14274659
title: Supplementary data 5. Autoimmune protein-protein interaction network (Ai-PPIN) data

description: The PPI network was constructed using the genes that are regulated by the SNPs associated with 18 AiDs. STRING PPI data was used for building the network. The list of proteins present in the Ai-PPIN and the edgelist of the network is provided here.
DOI: 10.17608/k6.auckland.14274659.v2
title: Supplementary data 5. Autoimmune protein-protein interaction network (Ai-PPIN) data

description: The PPI network was constructed using the genes that are regulated by the SNPs associated with 18 AiDs. STRING PPI data was used for building the network. The list of proteins present in the Ai-PPIN and the edgelist of the network is provided here.
DOI: 10.17608/k6.auckland.14274659.v1
title: Supplementary data 5. Ai-PPI network data

description: The PPI network was constructed using the genes that are regulated by the SNPs associated with 18 AiDs. STRING PPI data was used for building the network. The list of proteins present in the Ai-PPIN and the edgelist of the network is provided here.
DOI: 10.4228/10.4228/zalf.dk.81
title: Effects of rainfall events on the water storage characteristic of a shallow water table site - lysimeter data

description: The dataset contains measurment data from a weighable groundwater lysimeter in the Spreewald wetland. Water budget values and water levels were selected for 29 rainfall events &gt; 10 mm between May 2010 and September 2012. The parameters were evaluated for different points of time and periods after and before the rainfall events. Special focus was set on water storage characteristics of the thin unsatureted zone of the shallow water table site. The data shows the effect of different assumptions (equilibrium conditions vs. dynamic conditions) on the estimated exhaustion of the unsaturated zone.
description: The weighable groundwater lysimeter station consits of different measurement systems for the estimation of water budget parameters (DS - storage change = mass change, Rin - inflow, Rout - outflow, P - precipitation, ETa - actual evapotranspiration). The soil monoliths have an area of 1 m² and a height of 2 m. Each monolith is placed on a weighing system consisting of three loading cells (model 3510, Soemer, weighing accuracy 0.1 kg). Each monolith is connected to an own compensation tank via a tube located at the bottom. The water level in the tank was measured by pressure transducers (PR-46X, Keller, resolution of 1 mm). The volumes of the inflow or outflow were calculated from the tank’s water level change, yielding a resolution of 0.035 l. All measured quantities were logged at 10-min intervals (data logger DL-104, UGT), forming the basis to obtain hourly values of the water balance components. The precipitation was estimated on the basis of the mass change and the measured inflow or outflow during the rainfall. It was assumed that no evapotranspiration occurred during this time. The precipitation measurement of a meteorological station provided information on the beginning and the end of rainfall events. The evapotranspiration is calculated on basis of the water budget equation. DS=P-ETa+Rin-Rout
DOI: 10.4228/10.4228/zalf.dk.134
title: Script for re-creating the location of farms from non-spatial data

description: This data set contains files that are necessary for farm allocation method. They accompany the article “Re-creating the location of farms from non-spatial data: spatial allocation of single farm data” (authors: Sandra Uthes, Joachim Kiesel), submitted to the journal Agricultural Systems. The allocation methods was developed for modelling tasks requiring spatially-explicit farm locations, for example, to simulate land market decisions. Usually spatially-explicit farm data is not available for reasons of data protection and only farm typology data with aggregated spatial information (such as the share of arable land or the mean soil fertility of the farm) is at hand. Our method considers several landscape parameters for the allocation of farms, using a fine resolution (25m*25m) and introducing allocation quality indicators that allow for an assessment of the overall allocation result. The approach is implemented in the Geographical Information System (GIS) ArcInfo/ArcGIS by ESRI using the tools and script language (AML) offered by this software and operated on a BS Solares Unix Server.
DOI: 10.5281/zenodo.4632772
title: Sunspot Daily Dataset (with Missing Values)

description: This dataset contains a single very long daily time series of sunspot numbers from 1818-01-08 to 2020-05-31.
description: {"references": ["Sunspot, 2015. Sunspot number version 2.0: new data and conventions. URL http://www.sidc.be/silso/newdataset"]}
DOI: 10.5281/zenodo.4632780
title: Powder diffraction data for Arabian sands and sandstones

description: This data set contains powder diffraction data for Arabian sands (surface Quaternary sands from Nafud, Dahna corridor, and the western part of AlRub'AlKhali deserts), and Arabian sandstones (outcrop Paleozoic and Mesozoic sandstones from northern and central Arabia). <br> Forty sandstone samples were collected from Arabian platform Paleozoic and Mesozoic outcrop successions. These were ground to a powder using a steel vibratory disc mill for 15 seconds. Paleozoic samples were collected from Madinah, AlJawf, and Qasim Provinces, and Mesozoic samples were collected from Riyadh Province. <br> Thirty-two Quaternary sand samples were collected from Nafud, Dahna corridor, and the western part of AlRub'AlKhali deserts and ground with corundum in a McCrone micronizing mill for 3 minutes. The resulting powder was screened using a 75-μm sieve, and then packed through back loading the specimen holder. <br> X-ray diffractograms were recorded in a PANalytical Empyrean diffractometer operated at 45 kV and 40 mA using CuKα radiation. Samples were scanned from 10 to 110° 2θ at 0.005° 2θ increments, with 40 s counting time per increment. Clear euhedral quartz (FossilEra Co.) was used as a reference. Powder diffraction files are given in XRDML format.<br> Sampling Locations are given in KML format.<br> IDs, locations, coordinates, and lithostratigraphic units of the samples are given in Table 1.
DOI: 10.5281/zenodo.4632775
title: Sunspot Daily Dataset (without Missing Values)

description: This dataset contains a single very long daily time series of sunspot numbers from 1818-01-08 to 2020-05-31. The original dataset contains missing values and they were replaced by carrying forward the corresponding last observations (LOCF method).
description: {"references": ["Sunspot, 2015. Sunspot number version 2.0: new data and conventions. URL http://www.sidc.be/silso/newdataset"]}
DOI: 10.17632/7k99v7gvkg.1
title: AA Tofacitinib Supplementary Table Final

description: Alopecia areata recurrence patterns in children and young adults while on systemic tofacitinib therapy
DOI: 10.25919/jkne-kw23
title: Heron Island Coral Reef Dataset

description: This dataset is a large-scale dataset for underwater image restoration. This dataset is for the project underwater image restoration, which is a subproject of AIM FSP TB07.
DOI: 10.5281/zenodo.4545579
title: δ18O and 87Sr/86Sr values of ostracods during MIS 4-2 (64-20 ka BP) in the Black Sea

description: This excel-file includes the δ<sup>18</sup>O and <sup>87</sup>Sr/<sup>86</sup>Sr values of ostracods of the sediment core M72/5 25GC-1 from the SE Black Sea covering the last glacial MIS 4-2 (64-20 ka BP) .
DOI: 10.5281/zenodo.4545578
title: δ18O and 87Sr/86Sr values of ostracods during MIS 4-2 (64-20 ka BP) in the Black Sea

description: This excel-file includes the δ<sup>18</sup>O and <sup>87</sup>Sr/<sup>86</sup>Sr values of ostracods of the sediment core M72/5 25GC-1 from the SE Black Sea covering the last glacial MIS 4-2 (64-20 ka BP) .
DOI: 10.5281/zenodo.4632799
title: PONE-D-20-36633 Interviews

description: Interview data from Erasmus plus project, PONE-D-20-36633 as cited in 'Perspectives about nurses' role in interprofessional pharmaceutical care across 14 European countries: a qualitative study in pharmacists, physicians and nurses', PLOS ONE
DOI: 10.5281/zenodo.4632798
title: PONE-D-20-36633 Interviews

description: Interview data from Erasmus plus project, PONE-D-20-36633 as cited in 'Perspectives about nurses' role in interprofessional pharmaceutical care across 14 European countries: a qualitative study in pharmacists, physicians and nurses', PLOS ONE
DOI: 10.25721/hw9e-3c15
title: Aspaldiko denboretan
DOI: 10.5445/ir/1000129595
title: Supplementary data for J. Kleinheins et al. "Thermal imaging of freezing drizzle droplets: pressure release events as a source of secondary ice particles", Journal of the Atmospheric Sciences 2021

description: The freezing process of a supercooled water droplet freely falling through air is a remarkably dynamic and eventful process. During freezing from the outside in, the volume increase of liquid water upon solidification leads to a pressure rise inside the droplet. The pressure is released in various ways, e.g. by cracking or by complete fragmentation of the ice shell. These processes may be the source of secondary ice particles that are emitted during droplet freezing. In this study, the surface temperature of freezing drizzle-sized water droplets was measured with a high-resolution infrared thermography system, while recording the changes in shape and structure of the droplet by a high-speed video camera. The droplets were levitated in an electrodynamic trap under controlled conditions with respect to temperature, humidity and airflow velocity. Measurement of the surface temperature during freezing allowed for determination of the absolute pressure inside the liquid core. During the freezing of a droplet the pressure rise is interrupted many times by rapid pressure release events, each being a possible source of secondary ice. Pressure release events were three times more frequent for droplets freezing under free-fall conditions compared to droplets freezing in stagnant air. Naturally occurring sea salt content (&lt; 100 mg/L) does not inhibit the pressure buildup inside freezing drizzle droplets.
DOI: 10.5281/zenodo.4632805
title: Disagreement Levels Dataset

description: This is 5K comments collected from reddit platform and annotated by crowd workers on Amazon Mechanical Turk based on five disagreement levels: Name-calling, Ad hominem, Contradiction, Counterargument and Refutation. The final results is in disagreement_dataset.csv.
DOI: 10.5281/zenodo.4632804
title: Disagreement Levels Dataset

description: This is 5K comments collected from reddit platform and annotated by crowd workers on Amazon Mechanical Turk based on five disagreement levels: Name-calling, Ad hominem, Contradiction, Counterargument and Refutation. The final results is in disagreement_dataset.csv.