cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3701179
title: Classification of top Twitter accounts discussing about FPU Dual

description: Supplementary material for publication: "Evolution of actors’ network in Twitter discussions: the Dual VET case". These files include the classification scheme and the classification of top Twitter accounts discussing about FPU Dual.
DOI: 10.5281/zenodo.3706415
title: Meteosat SEVIRI level-1 files and NWCSAF/Geo cloud products (v2013 and v2016)

description: Meteosat-11 (MSG4) SEVIRI level-1 HRIT files and NWCSAF/Geo cloud products (v2013 and v2016) The v2013 products have been derived at SMHI, and the v2016 products have been derived at EUMETSAT and disseminated over EUMETCast
DOI: 10.5281/zenodo.3706414
title: Meteosat SEVIRI level-1 files and NWCSAF/Geo cloud products (v2013 and v2016)

description: Meteosat-11 (MSG4) SEVIRI level-1 HRIT files and NWCSAF/Geo cloud products (v2013 and v2016) The v2013 products have been derived at SMHI, and the v2016 products have been derived at EUMETSAT and disseminated over EUMETCast
DOI: 10.18716/nmrshiftdb2/76088
title: NMR data for InChI=1S/C11H13NS/c1-2-4-10-9(3-1)5-6-12-7-8-13-11(10)12/h1-4,11H,5-8H2
DOI: 10.18716/nmrshiftdb2/76080
title: NMR data for 1,2-thiazole-5-carbaldehyde
DOI: 10.18716/nmrshiftdb2/76087
title: NMR data for InChI=1S/C13H12N2O/c1-2-5-9-8(4-1)13-12-10(14-9)6-3-7-11(12)16-15-13/h1-2,4-5,10,14H,3,6-7H2
DOI: 10.5281/zenodo.3706470
title: Landclasses_and_MO_BW

description: Contains a Dataset to analyze regional agriculture in BW
DOI: 10.18716/nmrshiftdb2/76078
title: NMR data for 5-phenyl-1,2-thiazole
DOI: 10.5281/zenodo.3659308
title: How to make a #theDress

description: Supplementary material for article Witzel & Toscani (2020) <strong>How to make a #theDress</strong>, <em>Journal of the Optical Society of America A</em>, 37(4), doi: https://doi.org/10.1364/JOSAA.381311. <strong>Additional sources</strong>: The code has also been uploaded to GitHub for future developments: https://github.com/christophWit/dressmaker <em>Content:</em> <strong>A. SURVEY</strong> - survey.pdf: A pdf-print of the google form that implemented the online survey. Text is in German; for translation see article. <strong>B. IMAGE PROCESSING AND STIMULUS PRODUCTION: </strong> - dressmaker.m: Matlab function that maps the color distribution of new images onto the major hue dimension (principal component of chromaticities) of #theDress; according to the study, the resulting images yield individual differences similar to #theDress. Run without input to see the example from Figure 1 (for this, dressmaker.m needs to be in the same folder as image.mat). - image.mat: A Matlab data file that contains the original images and masks that distinguish the objects in the images from their background. The images and their mask are used as input to dressmaker.m to create the stimulus images used in the study. - example_dressmaking.m: Matlab script that illustrates how dressmaker.m can be used with the 5 new images used in the study and provided by images.mat. Of course, the function can be used with still other images... <strong>C. DATA</strong> - data.xlsx consists of seven data sheets. The first six provide data from the lab experiment, seperatly for #theDress, the tie, jacket, egg, fish, and peep hole. The last sheet contains the data from the online survey. <strong>For details see readme.pdf.</strong>
DOI: 10.5281/zenodo.3659307
title: How to make a #theDress

description: Supplementary material for article Witzel & Toscani (2020) <strong>How to make a #theDress</strong>, <em>Journal of the Optical Society of America A</em>, 37(4), doi: https://doi.org/10.1364/JOSAA.381311. <strong>Additional sources</strong>: The code has also been uploaded to GitHub for future developments: https://github.com/christophWit/dressmaker <em>Content:</em> <strong>A. SURVEY</strong> - survey.pdf: A pdf-print of the google form that implemented the online survey. Text is in German; for translation see article. <strong>B. IMAGE PROCESSING AND STIMULUS PRODUCTION: </strong> - dressmaker.m: Matlab function that maps the color distribution of new images onto the major hue dimension (principal component of chromaticities) of #theDress; according to the study, the resulting images yield individual differences similar to #theDress. Run without input to see the example from Figure 1 (for this, dressmaker.m needs to be in the same folder as image.mat). - image.mat: A Matlab data file that contains the original images and masks that distinguish the objects in the images from their background. The images and their mask are used as input to dressmaker.m to create the stimulus images used in the study. - example_dressmaking.m: Matlab script that illustrates how dressmaker.m can be used with the 5 new images used in the study and provided by images.mat. Of course, the function can be used with still other images... <strong>C. DATA</strong> - data.xlsx consists of seven data sheets. The first six provide data from the lab experiment, seperatly for #theDress, the tie, jacket, egg, fish, and peep hole. The last sheet contains the data from the online survey. <strong>For details see readme.pdf.</strong>
DOI: 10.18716/nmrshiftdb2/76082
title: NMR data for 3,4-dibromo-5-ethynyl-1,2-thiazole
DOI: 10.18716/nmrshiftdb2/76083
title: NMR data for 5-(4-chlorophenyl)-1,2-thiazole
DOI: 10.18716/nmrshiftdb2/76090
title: NMR data for InChI=1S/C17H17NOS/c19-16(14-7-3-1-4-8-14)13-18-11-12-20-17(18)15-9-5-2-6-10-15/h1-10,17H,11-13H2
DOI: 10.18716/nmrshiftdb2/76084
title: NMR data for 5-(4-bromophenyl)-1,2-thiazole
DOI: 10.18716/nmrshiftdb2/76095
title: NMR data for (8S,9aS)-8-(furan-2-yl)-3,4,7,8,9,9a-hexahydro-2H-pyrido[2,1-b][1,3]thiazin-6-one
DOI: 10.5525/gla.researchdata.987
title: Direct visualization of the magnetostructural phase transition in nano-scale FeRh thin films using differential phase contrast imaging
DOI: 10.21227/rt9v-qa50
title: Supplementary data for the manuscript entitled “Reliable data collection in participatory trials to assess digital healthcare applications”

description: The dataset comprises raw data to validate methods for reliable data collection. We proposed the data collection methods in a path to assess digital healthcare apps. To validate the methods, we conducted experiments in Amazon Mechanical Turk (MTurk), and then we showed that the methods have a significant meaning based on statistical tests. The methods and tests are as follows: (1) comparison with the simplicity of protocol creation during the data preparation stage; (2) validation of data reliability weight compared with manually collected data during the data storage stage; and (3) the future reward distribution effect of observation during the data sharing stage. Each data set contains test information and raw data. The total number of participants was 718, and we excluded their worker ID, following by a policy by Amazon. All participants signed an informed consent document for the tests.
DOI: 10.18716/nmrshiftdb2/76099
title: NMR data for (2S,6S)-2-(furan-3-yl)-6-methylpiperidine
DOI: 10.14469/hpc/6944
title: CBD Di-cation Triplet 3B1g CCSD/Def2-TZVPP Kekule mode B2g -2195 cm-1

description: Gaussian Calculation
DOI: 10.21227/1cbd-0s47
title: Simulated Combat Reports Dataset

description: This simulated combat reports dataset combines fictional headings, reporting units, and attack times with real data from 551 records of terrorist attacks in Afghanistan (2009–2010) [1]. The dataset combines selected attributes from the DA Form 1594 [2] and U.S. Army Spot Report [3]. The dataset also includes additional attributes for tactical context.A common use for the DA Form 1594 is for personnel in U.S. Army small unit command posts to record reports of combat action. This dataset was used in a prototype of a modified and modernized DA Form 1594 created as a Relational Database Management System (RDBMS). The prototype was designed to demonstrate how to use data science techniques to analyze tactical data captured in small unit command posts. The RDBMS was created using Microsoft Access. The .xlsx dataset was exported from the final version of the prototype.References[1] National Consortium for the Study of Terrorism and Responses to Terrorism, "Global Terrorism Database," University of Maryland, 2019. [Online]. Available: https://www.start.umd.edu/gtd/. [Accessed 23 November 2019].[2] Department of the Army, "Appendix E: Daily Staff Journal or Duty Officer's Log," in TC 3-22.6: Guard Duty, Washington, DC: Department of the Army, 2017 (w/Change 1, 2019), pp. E-1 - E-3.[3] Department of the Army, "U.S. Army Spot Report," in FM 6-99.2: U.S. Army Report and Message Formats, Washington, DC: Department of the Army, 2007, pp. 219 - 219.1.
DOI: 10.25550/1-bb56
title: Craniofacial Atlas ChIP-seq data: CS14

description: Chromatin State Profiling using multiple histone modifications in human craniofacial tissue spanning 4.5 post conception weeks to 10 pcw. Data are available at GEO (Series GSE97752). The raw FASTQ sequence files are being deposited in dbGAP.
DOI: 10.5258/soton/d1173
title: Dataset for: Monolithically-integrated cytometer for measuring particle diameter in the extracellular vesicle size range using multi-angle scattering

description: Data associated with paper accepted by Royal Society of Chemistry Lab on a chip journal: Butement, J., Holloway, P., Welsh, J. A., Holloway, J., Englyst, N., Horak, P., ... Wilkinson, J. S. (2020). Monolithically-integrated cytometer for measuring particle diameter in the extracellular vesicle size range using multi-angle scattering. Lab on a Chip. DOI: 10.1039/C9LC01182J
DOI: 10.5281/zenodo.3703440
title: CARTHE drifter trajectories acquired at Fruholmen domain in October 2017 to January 2018

description: The dataset contains trajectories from 21 CARTHE drifters which were released in October 2017 near the Fruholmen island (northern Norway). Geographical coordinates for each drifter were acquired approximately every 5 minutes via GPS. The project was funded by Research Council of Norway grants 237906 (CIRFA) and 244262 (Retrospect).
DOI: 10.5281/zenodo.3703441
title: CARTHE drifter trajectories acquired at Fruholmen domain in October 2017 to January 2018

description: The dataset contains trajectories from 21 CARTHE drifters which were released in October 2017 near the Fruholmen island (northern Norway). Geographical coordinates for each drifter were acquired approximately every 5 minutes via GPS. The project was funded by Research Council of Norway grants 237906 (CIRFA) and 244262 (Retrospect).
DOI: 10.5258/soton/d1246
title: Dataset for: Development of Broad-Spectrum Antimicrobials Using Modified Antisense Oligonucleotides

description: This dataset supports the PhD thesis entitled 'Development of Broad-Spectrum Antimicrobials Using Modified Antisense Oligonucleotides' by Gneid.
DOI: 10.21227/mkh9-kg83
title: On Drivers of Subpixel Classification Accuracy—An Example From Glacier Facies

description: Subpixel classification (SPC) extracts meaningful information on land-cover classes from the mixed pixels.However, the major challenges for SPC are to obtain reliable soft reference data (RD), use apt input data, and achieve maximum accuracy. This article addresses these issues and applies the support vector machine (SVM) to retrieve the subpixel estimates of glacier facies (GF) using high radiometric-resolution Advanced Wide Field Sensor (AWiFS) data. Precise quantification of GF has fundamental importance in the glaciological research. Efficacy of the approach was first tested on the synthetic data followed by the input AWiFS and reference MultiSpectral Instrument data, including ancillary data. SPC of synthetic data resulted in overall accuracy (OA) of 95%, proving the merit of SVM. Classification accuracy is inversely related to the glacier’s surface heterogeneity. Reducing the number of classes enhanced the OA by ∼18%. Source and timing of RD invariably controls the SPC accuracy. OA improved by ∼5% on addressing the issue of temporal gap between input and RD. ∼11% increase in OA with the inclusion of ancillary data confirmed their positive effect on the accuracy. Input and reference fractional area of GF were strongly correlated (r &gt; 0.9) with each other substantiating the results.
DOI: 10.21227/qszc-wq57
title: Simulated Combat Reports Dataset

description: This simulated combat reports dataset combines fictional headings, reporting units, and attack times with real data from 551 records of terrorist attacks in Afghanistan (2009–2010) [1]. The dataset combines selected attributes from the DA Form 1594 [2] and U.S. Army Spot Report [3]. The dataset also includes additional attributes for tactical context.A common use for the DA Form 1594 is for personnel in U.S. Army small unit command posts to record reports of combat action. This dataset was used in a prototype of a modified and modernized DA Form 1594 created as a Relational Database Management System (RDBMS). The prototype was designed to demonstrate how to use data science techniques to analyze tactical data captured in small unit command posts. The RDBMS was created using Microsoft Access. The .xlsx dataset was exported from the final version of the prototype.References[1] National Consortium for the Study of Terrorism and Responses to Terrorism, "Global Terrorism Database," University of Maryland, 2019. [Online]. Available: https://www.start.umd.edu/gtd/. [Accessed 23 November 2019].[2] Department of the Army, "Appendix E: Daily Staff Journal or Duty Officer's Log," in TC 3-22.6: Guard Duty, Washington, DC: Department of the Army, 2017 (w/Change 1, 2019), pp. E-1 - E-3.[3] Department of the Army, "U.S. Army Spot Report," in FM 6-99.2: U.S. Army Report and Message Formats, Washington, DC: Department of the Army, 2007, pp. 219 - 219.1.
DOI: 10.21227/38rt-3y73
title: Simulated Combat Reports Dataset

description: This simulated combat reports dataset combines fictional headings, reporting units, and attack times with real data from 551 records of terrorist attacks in Afghanistan (2009–2010) [1]. The dataset combines selected attributes from the DA Form 1594 [2] and U.S. Army Spot Report [3]. The dataset also includes additional attributes for tactical context.A common use for the DA Form 1594 is for personnel in U.S. Army small unit command posts to record reports of combat action. This dataset was used in a prototype of a modified and modernized DA Form 1594 created as a Relational Database Management System (RDBMS). The prototype was designed to demonstrate how to use data science techniques to analyze tactical data captured in small unit command posts. The RDBMS was created using Microsoft Access. The .xlsx dataset was exported from the final version of the prototype.References[1] National Consortium for the Study of Terrorism and Responses to Terrorism, "Global Terrorism Database," University of Maryland, 2019. [Online]. Available: https://www.start.umd.edu/gtd/. [Accessed 23 November 2019].[2] Department of the Army, "Appendix E: Daily Staff Journal or Duty Officer's Log," in TC 3-22.6: Guard Duty, Washington, DC: Department of the Army, 2017 (w/Change 1, 2019), pp. E-1 - E-3.[3] Department of the Army, "U.S. Army Spot Report," in FM 6-99.2: U.S. Army Report and Message Formats, Washington, DC: Department of the Army, 2007, pp. 219 - 219.1.
DOI: 10.5281/zenodo.3706547
title: Plummeting costs of renewables - Are energy scenarios lagging?

description: Raw data for the working paper "Plummeting costs of renewables - Are energy scenarios lagging?"
DOI: 10.5281/zenodo.3706546
title: Plummeting costs of renewables - Are energy scenarios lagging?

description: Raw data for the working paper "Plummeting costs of renewables - Are energy scenarios lagging?"
DOI: 10.17632/st6m4ccz4m.1
title: Data repository for: Evolution of brittle structures in plagioclase-rich rocks at high-grade metamorphic conditions – Linking laboratory results to field observations

description: Pseudotachylytes as well as ductile shear zones can be found in high-grade metamorphic rocks in the Lofoten archipelago, N Norway, both reflecting the localization of strain. Compared to the pseudotachylyte mineral assemblage, ductile shear zones show a much larger extent of hydration, expressed by the formation of hydrous minerals. We combined experimental results and field observations to investigate the evolution of brittle structures in plagioclase-rich rocks at eclogite-facies conditions. We conducted deformation experiments on intact granulite samples and compared our laboratory results to natural microstructures of the Lofoten samples. To investigate the microstructural evolution of the experimental samples, we terminated the tests at ~7-8 % and 33-36 % axial shortening. We studied the importance of water for the microstructural evolution of the samples by either deforming natural samples ‘as-is’ or by adding approx. 1 wt.% H2O. In addition, we tested the influence of temperature by performing the experiments at 700 °C and 900 °C. All tests were conducted at a confining pressure of 2.5 GPa and a strain rate of 5×10^-5 s^-1. Similarities between the experimental and natural microstructures suggest that the transformation of brittle structures to ductile shear zones is most effective in samples deformed with added water.
DOI: 10.5258/soton/d0619
title: Dataset: Proteomic response of S. aureus to HT61

description: Dataset supports: Frapwell, C.J. et al (2020). Antimicrobial activity of the quinoline derivative HT61 against Staphylococcus aureus biofilms. Antimicrobial Agents and Chemotherapy. Data set containing mass spectrometry results for S. aureus UAMS-1 planktonic and biofilm cultures, before and after treatment with HT61.
DOI: 10.17632/wjtn8rmgcc.3
title: Composite adverse outcomes in primary PPH

description: Primary postpartum haemorrhage continues to cause considerable global maternal morbidity and mortality. The independent variables included socio-demographic factors, mode of delivery, fetal characteristics, blood loss, laboratory tests, causes of PPH and the management of PPH. The main outcome of interest for the study was the composite adverse outcome which included maternal death or serious morbidity (either of hypovolaemic shock or haemoglobin &lt;4g/dL or massive blood transfusion &gt;4 units or hysterectomy or admission to ICU or coagulopathy or major organ dysfunction). Data were cleaned, coded and entered into a Microsoft Excel spreadsheet, then exported to SPSS Version 20 (IBM, Armonk, NY, USA) for analysis. Descriptive statistical analyses were performed and presented as frequencies and percentages for categorical variables. Bivariate correlations of association between main independent variables and the outcome measures were performed using Pearson 2-tailed chi-square test. A p value of &lt;0.05 was considered to be statistically significant, and these were considered for the univariate logistic regression. Those variables that had a p&lt;0.2 from the univariate logistic regression analyses were considered for multivariable logistic regression. The association between independent variables and the dependent variable was assessed using odds ratio with 95% confidence intervals, to identify independent risk factors for composite adverse outcomes in PPH, holding other variables constant and adjusting for co-variates. The Hosmer-Lemeshow goodness-of-fit was used to check if the model fitted well. A p&lt; 0.05 was taken as statistically significant. 386 cases of PPH were recorded during the period 1 July 2016 to 30 October 2019. The independent risk factors for composite adverse outcomes in postpartum haemorrhage were place of dwelling (AOR 4.57, 95% CI 1.87-11.12, p=0.01), prior history of a Caesarean section (AOR 2.57, 95% CI 1.10-6.00, p=0.03), APH (AOR 5.45, 95% CI 2.23-13.27, p&lt;0.0001), antenatal haemoglobin level (AOR 19.64, 95% CI 1.44-268.50, p=0.03), and delivery by Caesarean section (AOR 10.21, 95% CI 4.39-23.74, p&lt;0.0001). Blood loss was also an independent risk factor for composite adverse outcomes in postpartum haemorrhage with the following blood loss; 1001-1500ml (AOR 9.94, 95% CI 3.68-26.88, p&lt;0.0001), 500-1000ml (AOR 41.27, 95% CI 11.32-150.54, p&lt;0.0001), and 2001ml (AOR 164.77, 95% CI 31.06-874.25, p&lt;0.0001).
DOI: 10.17632/zx4r8mgn86.2
title: Neonatal mortality indicators in hospitals

description: Sets of data for neonatal mortality rate with different predictors. Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia da Orta, Portugal. These cases were scored with different risk assessment predictors, “WEIGH_AG”, “CRIB”, “NTISS”, “SNAP “and “SNAPPE”. Values of these scoring systems were recorded along the survival status (0, alive; 1, death) The data_hosp files details 234 low weight newborns from 1995 across four different Portuguese hospitals with “CRIB” score recorded for each case. Hospitals are numbered 1 through 4 (hospital1-4) and register different sample sizes, hospital1 with 77 cases, hospital2 with 33, hospital3 with 45 and finally hospital4 with 79 cases. Survival status of each case was recorded (0, alive; 1, death).
DOI: 10.17632/93d4jw56vw.4
title: Snow adhesion data from icephobic surfaces

description: Snow adhesion data was collected form experiments on two known icephobic substrate materials and two reference materials. The data shows that icephobic surfaces are not necessarily snowphobic. The data presented is adhesion data, defined as force per area unit. Experiments were performed on two known icephobic surfaces and two reference materials. SLIPS material used was previously evaluated for ice adhesion by Li et al. (2019) and the material designated EC-3100™ is a commercial material presented by Rønneberg et al. (2019).