cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j6rw22bcjy.1
title: Data from:  A Nested Case-Control Study of Allopregnanolone and Preterm Birth in The Healthy Start Cohort

description: These data were generated from a nested case-control study evaluating maternal serum allopregnanolone (along with five related, simultaneously assayed analytes, cortisol, cortisone, progesterone, pregnanolone and epipregnanolone) and their association with preterm birth in women who gave birth preterm and matched controls that gave birth at term (N=27 per group). The supplemental file included in this data repository contains the odds ratios calculated for all study analytes (Supplemental Table S1), the model results used to calculate the odds ratios (Supplemental Table S2), mean maternal serum concentrations for each study analyte at 1st and 2nd blood draw (Supplemental Figures S3 and S4), and a graphical depiction of the estimated probability generated as part of the logistical model (Supplemental Figure S1). Logistic regression model variables for odds ratios included the known serum analyte concentration of each participant, the gestational age at the time of sample collection, and the interaction between serum analyte concentration and gestational age. The odds ratios were calculated for each gestational week observed in our dataset (13w0d – 32w0d). For direct comparison of the groups, we used independent samples t-tests to compare the mean serum concentration at 1st and 2nd blood sample. Additionally, we used a linear regression model, accounting for each participant’s precise gestational age at the time of sample collection, to estimate expected mean serum concentrations for preterm and term groups at each gestational week (13w0d – 32w0d).
DOI: 10.5255/ukda-sn-7363-4
title: European Working Conditions Survey Integrated Data File, 1991-2015
DOI: 10.5281/zenodo.3611307
title: Role and practice of research software development at DLR

description: The deposit contains the results of a survey concerning the role and practice of research software development at the German Aerospace Center (DLR). The survey started end of November 2018 and ended mid-February 2019. We received 773 answers which gave us interesting insights concerning developer demographics, tool usage, documentation, testing as well as software citation at DLR.
DOI: 10.5281/zenodo.4018691
title: On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication -- Replication Package

description: This dataset contains working data sets and analysis scripts for the paper "On the Relationship between Refactorings and Bugs: A Differentiated Replication" by Massimiliano Di Penta, Gabriele Bavota, and Fiorella Zampetti, published at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020).
DOI: 10.5281/zenodo.4579965
title: Moonshine Context-Based Authentication Harvested Data

description: This is a placeholder description for the dataset to accompany our Moonshine paper at IPSN 2021.
DOI: 10.5441/002/edbt.2017.26
title: Flexible Caching in Trie Joins
DOI: 10.22002/d1.2079
title: Global methane inversion 2010-2017

description: Global methane inversion results for 2010-2017. Details documented in the following paper https://acp.copernicus.org/preprints/acp-2020-649/
DOI: 10.5258/soton/d2332
title: Dataset for the journal paper titled "Low-temperature polycrystalline silicon waveguides for low loss transmission in the near-to-mid-infrared region"

description: This dataset supports the publication: Amar N. Ghosh, Stuart J. MacFarquhar, Ozan Aktas, Than S. Saini, Swe Z. Oo, Harold M. H. Chong, and Anna C. Peacoc (2022) Low-temperature polycrystalline silicon waveguides for low loss transmission in the near-to-mid-infrared region. Optics Express. The excel file contains all experimental data used for generating Fig.3 and Fig.6.
DOI: 10.5281/zenodo.2667377
title: When Should I Build? A Collection of Cost-efficient Approaches to Running Builds in Continuous Integration.

description: Replication package.
DOI: 10.25704/17gs-2b59
title: HF Radar Ibiza data from date 2012-06-01

description: Continuous hourly coastal ocean surface current maps in the Ibiza Channel measured by High-Frequency Radars (HFR). HFR is nowadays the unique land-based remote sensing technology providing continuous maps of near-real surface currents (0.9 m) over wide areas (out of about 85 km from near shore) with high-spatial (3 km) and temporal resolution (hourly). The operation principle of HFRs for measuring coastal ocean surface currents is based on the Bragg resonant backscatter phenomenon: the HFR CODAR SeaSonde combined-antenna transmits electromagnetic waves with frequency of 13.5MHz (associated to wavelength of 22.2 m) and the ocean waves of half the transmitted electromagnetic wavelength (11.1 m) scatter the pulse back to the antenna. Two or more HFR sites are needed for computing the map of total surface current vectors in the overlapping coverage area."
DOI: 10.25704/mhbg-q265
title: SOCIB EXP RADAR Sep2014

description: The aim of this experiment was to assess the operational HF radar surface current velocities in the Ibiza Channel in a Lagrangian framework, by comparing against surface drifter derived velocities"
DOI: 10.3886/e136023v1
title: Data and codes for: From Weber to Kafka: Political Instability and the Overproduction of Laws

description: Data and Replication files for the paper "From Weber to Kafka: Political Instability and the Overproduction of Laws" by Gabriele Gratton, Luigi Guiso, Claudio Michelacci and Massimo Morelli
description: Universe of Italian laws.
description: Manually collected data and from other sources
DOI: 10.5281/zenodo.1175423
title: Serverless Literature Dataset

description: Systematic database of literature around serverless computing and applications, cloud functions, Function-as-a-Service (FaaS) and closely related topics. Retrieved through keyword search from DBLP and manual additions. Covering 2016-first bits of 2019. Insights into technologies and trends. Evolving through open community curation.
description: 4th generation dataset. Website: http://serverless.research-output.org/ + See older blog post: https://blog.zhaw.ch/splab/2019/04/22/the-5th-year-of-serverless-computing-research-coverage/
description: {"references": ["Earlier version described in: M. Al-Ameen, J. Spillner: Systematic and open exploration of FaaS and Serverless Computing research. Proc. European Symposium on Serverless Computing and Applications (ESSCA 2018), CEUR-WS vol. 2330 / SLD#133."]}
DOI: 10.5281/zenodo.5167615
title: Training and test data set of thickness distribution of turbidites

description: This is a data set of thickness distribution used for training and test of the inverse model of turbidites. Details were described in https://esurf.copernicus.org/preprints/esurf-2020-93/esurf-2020-93.pdf
DOI: 10.5281/zenodo.5177214
title: actuatorCylinderSimpleFoam-simulations-results

description: Creator: Edgar Martinez-Ojeda Title: actuatorCylinderSimpleFoam-simulations-results Description: Data from two wind farms: the small-scale wind farm made of 4 turbines and the large-scale wind farm made of 8 turbines. These are log files with printed information from the solver as well as the power coefficients. Date of last of access: august 11, 2021.
DOI: 10.5281/zenodo.7351653
title: Aerodynamic characterisation of porous fairings : pressure drop and Laser Doppler Velocimetry measurements

description: Aviation has become a mass transportation industry, and all prospective studies foresee growth in this sector. Among the challenges, noise in the vicinity of airports has gone from a marginal annoyance to a real public health concern. To address this problem, as well as others such as fuel consumption, aircraft manufacturers are considering radically new aircraft architectures that could enter service quickly. In the meantime, however, the noise of traditional aircraft must be reduced significantly. Aircraft noise, during takeoff and landing, results primarily from a combination of (i) engine noise, which is generated by the fan and jet, and (ii) airframe noise, primarily due to the landing gear (LG) and high lift devices (HLD), the latter including slats and trailing edge flaps, which are deployed at low speeds to increase lift. During takeoff, engine noise remains dominant, while on approach and landing, engines operate at low speeds (typically 50% of N1), and airframe noise becomes a significant contributor, especially for newer aircraft equipped with latest generation turbofans. Its mitigation is therefore of primary interest.<br> However, due to the strong integration constraints imposed by other disciplines than acoustics on components such as LGs and HLDs, the development of noise reduction technologies (NRT) on these airframe components has been limited. This lack of breakthroughs is also due to the complexity of flow physics, and thus our still limited knowledge of airframe noise generation mechanisms. The noise of the landing gear, slats and flaps has been studied on a real and reduced scale, mainly on the basis of experimental means. The maturity of numerical simulations now allows to study the mechanisms of the noise sources on various complex configurations. Moreover, numerical simulation methods can be sufficiently accurate to predict the noise generated by such configurations. In order to take the next step in the maturity of numerical prediction, these NIRs must be accurately evaluated and modeled. Experimental data based on academic configurations are therefore needed to validate the new tools and numerical models. One promising NRT is the use of a fairing in front of the landing gear to reduce the noise of this system. The present study aims at collecting an experimental database (pressure drop and turbulence characteristics) of several fairing solutions in order to have validation test cases for CFD simulation and thus develop new models for such complex geometries. The fairing samples are thus tested on the "Acoustic and Aerothermal Bench" (B2A), by measuring the pressure drop of each sample and the flow field by Laser Doppler Velocimetry (LDV). The experimental methodology will be presented first. The database will then be described. Some technical validations will also be proposed on the basis of a comparison with the literature.
DOI: 10.6084/m9.figshare.14471250
title: Data extraction

description: <i>Outcome harvesting</i>
DOI: 10.6084/m9.figshare.3761562.v2451
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7515052
title: Supplemental data to paper "An Extensible Logic Embedding Tool for Lightweight Non-Classical Reasoning"

description: These files are supplementary material to the paper<br> An Extensible Logic Embedding Tool for Lightweight Non-Classical Reasoning<br> Alexander Steen<br> accepted at the Eighth Workshop on Practical Aspects of Automated Reasoning (PAAR 2022), 2022. Files ex1.p, ex2.p and ex3.p correspond to Examples 1, 2, and 3 from the paper in section 5.<br> The *.embed.p files are their embedded variants in classical HOL (THF). In a later update, according to the paper [1], the syntax of NXF and NHF was slightly updated to include<br> an "@"-sign between the non-classical operator {...} and its arguments (...), even in NXF. As a consequence,<br> the examples in this archive have been updated accordingly. Alexander Steen, &lt;alexander.steen@uni-greifswald.de&gt; [1] Alexander Steen, David Fuenmayor, Tobias Gleißner, Geoff Sutcliffe, Christoph Benzmüller: Automated Reasoning in Non-classical Logics in the TPTP World. PAAR@IJCAR 2022. Available at https://ceur-ws.org/Vol-3201/paper11.pdf
DOI: 10.5281/zenodo.6651451
title: Supplemental data to paper "An Extensible Logic Embedding Tool for Lightweight Non-Classical Reasoning"

description: These files are supplementary material to the paper<br> An Extensible Logic Embedding Tool for Lightweight Non-Classical Reasoning<br> Alexander Steen<br> accepted at the Eighth Workshop on Practical Aspects of Automated Reasoning (PAAR 2022), 2022. Files ex1.p, ex2.p and ex3.p correspond to Examples 1, 2, and 3 from the paper in section 5.<br> The *.embed.p files are their embedded variants in classical HOL (THF). In a later update, according to the paper [1], the syntax of NXF and NHF was slightly updated to include<br> an "@"-sign between the non-classical operator {...} and its arguments (...), even in NXF. As a consequence,<br> the examples in this archive have been updated accordingly. Alexander Steen, &lt;alexander.steen@uni-greifswald.de&gt; [1] Alexander Steen, David Fuenmayor, Tobias Gleißner, Geoff Sutcliffe, Christoph Benzmüller: Automated Reasoning in Non-classical Logics in the TPTP World. PAAR@IJCAR 2022. Available at https://ceur-ws.org/Vol-3201/paper11.pdf
DOI: 10.6084/m9.figshare.3761562.v2452
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5525/gla.researchdata.1386
title: Older Autistic’s Kit (OAK)

description: This dataset contains responses to a survey that was part of a project to develop an application (app) or website to support older Autistic people in overcoming some of the barriers they experience and improving their quality of life. This survey was targeted at people assessed as Autistic, identifying as Autistic or seeking an autism diagnosis, more specifically older Autistic people. While research was targeted at older autistics (50+), data was also collected from autistic people under 50.
DOI: 10.5281/zenodo.7327057
title: Paleomagnetism of tuff matrix as a proxy for ignimbrite emplacement temperature: Evidence from the Latera volcanic complex (Italy)

description: Alternating Field demagnetization and Thermal demagnetization data (repository data) of Malaguti et al. "Paleomagnetism of tuff matrix as a proxy for ignimbrite emplacement temperature: Evidence from the Latera volcanic complex (Italy)".
DOI: 10.5281/zenodo.7327056
title: Paleomagnetism of tuff matrix as a proxy for ignimbrite emplacement temperature: Evidence from the Latera volcanic complex (Italy)

description: Alternating Field demagnetization and Thermal demagnetization data (repository data) of Malaguti et al. "Paleomagnetism of tuff matrix as a proxy for ignimbrite emplacement temperature: Evidence from the Latera volcanic complex (Italy)".
DOI: 10.6084/m9.figshare.21840507
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
DOI: 10.6084/m9.figshare.21840543
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
DOI: 10.6084/m9.figshare.21840543.v1
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
DOI: 10.6084/m9.figshare.21840546
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
DOI: 10.6084/m9.figshare.21840546.v1
title: Supplementary Material for: Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes

description: Introduction: Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). Methods: We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR≥30 ml/min/1.73 m2 if randomization eGFR≥60 or ≥50% if randomization eGFR&lt;60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n=712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onwards). Results: At baseline, mean age was 65 years, mean eGFR was 56 ml/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully-adjusted models, the highest vs. lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. Discussion/Conclusion: Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.