cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27nkfx
title: CCDC 2075339: Experimental Crystal Structure Determination

description: Related Article: Yujin Sun, Letian Cui, Yunpeng Sun, Qiurong Li, Yongyi Li, Zefan Wang, Wenjun Xu, Lingyi Kong, Jun Luo|2022|Phytochemistry|195|113049|doi:10.1016/j.phytochem.2021.113049
DOI: 10.5517/ccdc.csd.cc27nl1k
title: CCDC 2075358: Experimental Crystal Structure Determination

description: Related Article: Yujin Sun, Letian Cui, Yunpeng Sun, Qiurong Li, Yongyi Li, Zefan Wang, Wenjun Xu, Lingyi Kong, Jun Luo|2022|Phytochemistry|195|113049|doi:10.1016/j.phytochem.2021.113049
DOI: 10.5281/zenodo.5801683
title: initial direct relation matrix

description: The initial relation matrix is formed from interviews/suggestions of expert comments mentioned in the corresponding paper.
DOI: 10.5281/zenodo.5801682
title: initial direct relation matrix

description: The initial relation matrix is formed from interviews/suggestions of expert comments mentioned in the corresponding paper.
DOI: 10.5281/zenodo.5801691
title: Erythroxylum roigii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5801690
title: Erythroxylum roigii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5799133
title: Dataset for publication "Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite"

description: Experimental data presented in the paper: Hay B., Beaumont O., Failleau G., Fleurence N., Grelard M., Razouk R., Davée G., Hameury J., Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite, <em>International Journal of Thermophysics</em> 43:2 (2022). https://doi.org/10.1007/s10765-021-02926-6. Excel file contains the data for Figures 3 to 5.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.5799132
title: Dataset for publication "Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite"

description: Experimental data presented in the paper: Hay B., Beaumont O., Failleau G., Fleurence N., Grelard M., Razouk R., Davée G., Hameury J., Uncertainty assessment for very high temperature thermal diffusivity measurements on molybdenum, tungsten and isotropic graphite, <em>International Journal of Thermophysics</em> 43:2 (2022). https://doi.org/10.1007/s10765-021-02926-6. Excel file contains the data for Figures 3 to 5.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.12130980.v125
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.5281/zenodo.5801404
title: COVID19 & PTSD treatment seeking veterans

description: Data set on longitudinal research (2 time points). Sociodemographic data; COVID-19 related data, PCL-5, Brief Cope. Number of participants 132
DOI: 10.5281/zenodo.5801403
title: COVID19 & PTSD treatment seeking veterans

description: Data set on longitudinal research (2 time points). Sociodemographic data; COVID-19 related data, PCL-5, Brief Cope. Number of participants 132
DOI: 10.5281/zenodo.5799655
title: RSV subgroup A direct RNA seq of infected MRC5 cells and mock infected MRC5 cells mRNA on nanopore

description: Fastq files of mRNA sequenced by direct RNAseq on Oxford nanopore device and associated data for the paper
DOI: 10.5281/zenodo.5799654
title: RSV subgroup A direct RNA seq of infected MRC5 cells and mock infected MRC5 cells mRNA on nanopore

description: Fastq files of mRNA sequenced by direct RNAseq on Oxford nanopore device and associated data for the paper
DOI: 10.6084/m9.figshare.17429909
title: Raw data.xlsx

description: Application of flipped classroom teaching mode based on rain classroom app in anesthesia teaching
DOI: 10.6084/m9.figshare.17429909.v1
title: Raw data.xlsx

description: Application of flipped classroom teaching mode based on rain classroom app in anesthesia teaching
DOI: 10.21008/draft.ds31
title: Testowy draft
DOI: 10.34740/kaggle/dsv/2961525
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.17430020
title: Supplementary Material for: Oxygen Saturation Index in Neonates with a Congenital Diaphragmatic Hernia: A Retrospective Cohort Study

description: <b><i>Introduction:</i></b> The oxygenation index (OI) is a marker for respiratory disease severity and adverse neonatal outcomes. The oxygen saturation index (OSI) is an alternative that allows for continuous noninvasive monitoring, but evidence for clinical use in critically ill neonates is scarce. The aim of this study was to evaluate the OSI as compared to the OI in term neonates with a congenital diaphragmatic hernia (CDH). <b><i>Methods:</i></b> A single-center retrospective cohort study was conducted including all live-born infants with an isolated CDH between June 2017 and December 2020. Paired values of the OI and OSI in the first 24 h after birth were collected. The relation between OI and OSI measurements was assessed, taking into account arterial pH, body temperature, and preductal versus postductal location of oxygen saturation measurement or arterial blood sampling. The predictive values for pulmonary hypertension, need for extracorporeal membrane oxygenation therapy, and survival at discharge were evaluated. <b><i>Results:</i></b> Of 33 subjects included, 398 paired values of the OI (median 5.8 [3.3–17.2]) and OSI (median 7.3 [3.6–14.4]) were collected. The OI and OSI correlated strongly (<i>r</i> = 0.77, <i>p</i> &lt; 0.001). The OSI values corresponding to the clinically relevant OI values (10, 15, 20, and 40) were 8.9, 10.9, 12.9, and 20.9, respectively. The predictive values of the OI and OSI were comparable for all adverse neonatal outcomes. No difference was found in the area under the receiver operating characteristic curves for the OI and the OSI for adverse neonatal outcomes. <b><i>Conclusions:</i></b> The OSI could replace the OI in clinical practice in infants with a CDH.
DOI: 10.5525/gla.researchdata.1236
title: Measuring Einthoven II ECG and reference EMG simultaneously to be able to benchmark noise reduction algorithms

description: This database contains ECG and EMG recordings of 15 participants: - The first channel records from right wrist to left hip (ECG+EMG). - The second channel records from right wrist to right upper arm or right shoulder (EMG only). Data Format: .tsv (tab separated): samplingNumber ECG+EMG EMGonly checkDigitRow The sampling frequency is 250 Hz. Each recording is approximately 120 seconds long. The signal is in V (raw data straight from the ADC) The video recordings are synchronised with the data recording. There are 1 clean (no movement) and 3 types of forearm movements for each participant: 1. recording with relaxed arm and minimal EMG pollution 2. voluntary arm muscle contraction at approximately 0-15, 25-35, 45-55, 65-75, 85-95, 105-115 seconds of the recording. 3. voluntary arm muscle contraction at approximately 25-35, 45-55, 65-75, 85-95, 105-115 seconds of the recording. 4. voluntary arm muscle contraction during the 120 seconds of the recording.
DOI: 10.6084/m9.figshare.17430068
title: Supplementary Material for: Prediction of Acute COPD Exacerbation in the Swiss Multicenter COPD Cohort Study (TOPDOCS) by Clinical Parameters, Medication Use, and Immunological Biomarkers

description: <b><i>Background and Objective:</i></b> Whether immunological biomarkers combined with clinical characteristics measured during an exacerbation-free period are predictive of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) frequency and severity is unknown. <b><i>Method:</i></b> We measured immunological biomarkers and clinical characteristics in 271 stable chronic obstructive pulmonary disease (COPD) patients (67% male, mean age 63 years) from “The Obstructive Pulmonary Disease Outcomes Cohort of Switzerland” cohort on a single occasion. One-year follow-up data were available for 178 patients. Variables independently associated with AECOPD frequency and severity were identified by multivariable regression analyses. Receiver operating characteristic analysis was used to obtain optimal cutoff levels and measure the area under the curve (AUC) in order to assess if baseline data can be used to predict future AECOPD. <b><i>Results:</i></b> Higher number of COPD medications (adjusted incident rate ratio [aIRR] 1.17) and platelet count (aIRR 1.03), and lower FEV<sub>1</sub>% predicted (aIRR 0.84) and IgG2 (aIRR 0.84) were independently associated with AECOPD frequency in the year before baseline. Optimal cutoff levels for experiencing frequent (&gt;1) AECOPD were ≥3 COPD medications (AUC = 0.72), FEV<sub>1</sub> ≤40% predicted (AUC = 0.72), and IgG2 ≤2.6 g/L (AUC = 0.64). The performance of a model using clinical and biomarker parameters to predict future, frequent AECOPD events in the same patients was fair (AUC = 0.78) but not superior to a model using only clinical parameters (AUC = 0.79). The IFN-lambda rs8099917GG-genotype was more prevalent in patients who had severe AECOPD. <b><i>Conclusions:</i></b> Clinical and biomarker parameters assessed at a single point in time correlated with the frequency of AECOPD events during the year before and the year after assessment. However, only clinical parameters had fair discriminatory power in identifying patients likely to experience frequent AECOPD.
DOI: 10.34740/kaggle/dsv/2961575
title: Cryptocurrency extra data - EOS.IO
DOI: 10.18742/17372021
title: King’s Digital Lab Technology Network

description: This dataset consists of a CSV spreadsheet file and a ZIP file with a notebook to process the data and generate a dynamic visualisation created in the Observable tool by Miguel Vieira.<br>The data represents the technology stack of King’s Digital Lab (KDL). The spreadsheet includes a non-exhaustive list of technologies applied or considered by the KDL team in the production of digital research from its set up in 2015 to the time of data collection. For each technology, the data contains information about its developer (individual or institution), function, permission (Open-source, Proprietary), and sector (Community, For-profit company, University, Non-profit organisation). It also specifies, in the stack field, which technologies have been actively used by the lab (KDL) at the time of data collection, applied in the digital humanities legacy projects inherited from the Department of Digital Humanities at King’s College London or considered by the lab team at the stage of project conceptualisation and feasibility assessment.<br>Based on this data, a dynamic visualisation has been created using the Observable tool. You can access the Observable notebook with this link: https://observablehq.com/@jmiguelv/dhlab-kdl-technology-network.<br>The data was collected as part of the Marie Skłodowska-Curie project, “Digital Humanities Laboratory: Studying the Entanglement of Infrastructure and Technology in Knowledge Production” conducted at King’s Digital Lab at King’s College London. The technology network aims to provide a resource for investigating how a digital humanities lab and scholarly research are embedded in the complex global and local technological landscape through which digital humanities institutions, the IT industry, and society are brought together.<br>Concept: Urszula Pawlicka-Deger Data selection: Urszula Pawlicka-Deger Data collection: Urszula Pawlicka-Deger and KDL Data review: Arianna Ciula, Miguel Vieira and others in KDL Notebook: Miguel Vieira Design review: Tiffany Ong
DOI: 10.18742/17372021.v1
title: King’s Digital Lab Technology Network

description: This dataset consists of a CSV spreadsheet file and a ZIP file with a notebook to process the data and generate a dynamic visualisation created in the Observable tool by Miguel Vieira.<br>The data represents the technology stack of King’s Digital Lab (KDL). The spreadsheet includes a non-exhaustive list of technologies applied or considered by the KDL team in the production of digital research from its set up in 2015 to the time of data collection. For each technology, the data contains information about its developer (individual or institution), function, permission (Open-source, Proprietary), and sector (Community, For-profit company, University, Non-profit organisation). It also specifies, in the stack field, which technologies have been actively used by the lab (KDL) at the time of data collection, applied in the digital humanities legacy projects inherited from the Department of Digital Humanities at King’s College London or considered by the lab team at the stage of project conceptualisation and feasibility assessment.<br>Based on this data, a dynamic visualisation has been created using the Observable tool. You can access the Observable notebook with this link: https://observablehq.com/@jmiguelv/dhlab-kdl-technology-network.<br>The data was collected as part of the Marie Skłodowska-Curie project, “Digital Humanities Laboratory: Studying the Entanglement of Infrastructure and Technology in Knowledge Production” conducted at King’s Digital Lab at King’s College London. The technology network aims to provide a resource for investigating how a digital humanities lab and scholarly research are embedded in the complex global and local technological landscape through which digital humanities institutions, the IT industry, and society are brought together.<br>Concept: Urszula Pawlicka-Deger Data selection: Urszula Pawlicka-Deger Data collection: Urszula Pawlicka-Deger and KDL Data review: Arianna Ciula, Miguel Vieira and others in KDL Notebook: Miguel Vieira Design review: Tiffany Ong
DOI: 10.6084/m9.figshare.17430107
title: Supplementary Material for: Upregulation of NADPH Oxidase 2 Contributes to Renal Fibrosis in <b><i>pcy</i></b> Mice: An Experimental Model of Nephronophthisis

description: <b><i>Background:</i></b> DBA/2FG-<i>pcy</i> (<i>pcy</i>) mice harbor a homozygous <i>Nphp3</i> missense mutation and develop nephronophthisis with renal interstitial fibrosis. Previous studies have shown that aberrant oxygen homeostasis contributes to the renal pathology in <i>pcy</i> mice, but the underlying molecular mechanism remains largely unknown. <b><i>Methods:</i></b> <i>pcy</i> mice and a control strain, DBA/2N (DBA) mice, were used. Renal levels of 62 mRNAs involved in oxygen homeostasis were investigated by real-time PCR, and the resulting data were used for extraction of pathological pathways. On the basis of the genes found to be upregulated and pathway analysis, further studies were performed using immunoblotting, immunohistochemistry, and pharmacological intervention. <b><i>Results:</i></b> In comparison with DBA mice, the levels of 18 mRNAs were altered by &gt;2-fold in <i>pcy</i> mice. Pathway analysis extracted molecular pathways related to oxidative stress, inflammation, and cell adhesion. As the levels of mRNAs relevant to the NADPH oxidase 2 (NOX2) pathway were prominently (4 genes &gt;5-fold) increased in <i>pcy</i> mice, we further analyzed the molecules related to this pathway. A time course study suggested that the pathway was gradually activated in <i>pcy</i> mice from at least 5 weeks of age. Immunohistochemistry study revealed that NOX2 protein was colocalized with a macrophage marker protein in the renal interstitium. Moreover, treatment of <i>pcy</i> mice with apocynin, an inhibitor of the NOX2 pathway, ameliorated the renal fibrosis. <b><i>Conclusion:</i></b> Our findings suggest that the activation of the NOX2 pathway, possibly mediated by macrophage infiltration, plays a pivotal role in progressive renal fibrosis in <i>pcy</i> mice.
DOI: 10.3886/e146062
title: Data and Code for: A/B Contracts

description: This paper aims to improve the practical applicability of the classic theory of incentive contracts under moral hazard. We establish conditions under which the information provided by an A/B test of incentive contracts is sufficient for answering the question of how best to improve a status quo incentive contract, given a priori knowledge of the agent's monetary preferences. We assess the empirical relevance of this result using data from DellaVigna and Pope's (2018) study of a variety of incentive contracts. Finally, we discuss how our framework can be extended to incorporate additional considerations beyond those in the classic theory.
DOI: 10.3886/e146062v1
title: Data and Code for: A/B Contracts

description: This paper aims to improve the practical applicability of the classic theory of incentive contracts under moral hazard. We establish conditions under which the information provided by an A/B test of incentive contracts is sufficient for answering the question of how best to improve a status quo incentive contract, given a priori knowledge of the agent's monetary preferences. We assess the empirical relevance of this result using data from DellaVigna and Pope's (2018) study of a variety of incentive contracts. Finally, we discuss how our framework can be extended to incorporate additional considerations beyond those in the classic theory.
DOI: 10.3886/e120319
title: Data and Code for : The Rise and Fall of India's Relative Investment Price: A Tale of Policy Error and Reform

description: India's relative price of investment rose 44% from 1981 to 1991 and fell 26% from 1991 to 2006. We build a simple DGE model calibrated to Indian data in order to explore the impact of capital import substitution policies and their reform post-1991, in accounting for this rise and fall. Our model delivers a 23% rise before reform and a 31% fall thereafter. GDP per effective labor was 3% lower in 1991 compared to 1981 due to import restrictions on capital goods. Their removal and a 71 percentage point reduction in tariff rates raised GDP per effective labor permanently by 20%.
DOI: 10.3886/e120319v3
title: Data and Code for : The Rise and Fall of India's Relative Investment Price: A Tale of Policy Error and Reform

description: India's relative price of investment rose 44% from 1981 to 1991 and fell 26% from 1991 to 2006. We build a simple DGE model calibrated to Indian data in order to explore the impact of capital import substitution policies and their reform post-1991, in accounting for this rise and fall. Our model delivers a 23% rise before reform and a 31% fall thereafter. GDP per effective labor was 3% lower in 1991 compared to 1981 due to import restrictions on capital goods. Their removal and a 71 percentage point reduction in tariff rates raised GDP per effective labor permanently by 20%.
DOI: 10.21008/draft.ds32
title: Testowy findable
DOI: 10.5519/qd.hxdqeymv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.5801103
title: Pano3D: Matterport3D Semantic & Layout Low Resolution

description: Spherical cameras capture scenes in a holistic manner and have been used for room layout estimation. Recently, with the availability of appropriate datasets, there has also been progress in depth estimation from a single omnidirectional image. While these two tasks are complementary, few works have been able to explore them in parallel to advance indoor geometric perception, and those that have done so either relied on synthetic data, or used small scale datasets, as few options are available that include both layout annotations and dense depth maps in real scenes. This is partly due to the necessity of manual annotations for room layouts. In this work, we move beyond this limitation and generate a 360° geometric vision (360V) dataset that includes multiple modalities, multi-view stereo data and automatically generated weak layout cues. We also explore an explicit coupling between the two tasks to integrate them into a single-shot trained model. We rely on depth-based layout reconstruction and layout-based depth attention, demonstrating increased performance across both tasks. By using single 360° cameras to scan rooms, the opportunity for facile and quick building-scale 3D scanning arises. The project page is available at https://vcl3d.github.io/ExplicitLayoutDepth/.
description: Dataset with semantic and layout information for spherical panoramas.