cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21317713
title: A Method to Predict the Durability of Friction Materials Applied on Drum Brakes Based on the Dissipation of Braking Energy

description: It is becoming more and more common to apply simulation tools with the purpose of reducing the development time of new products and processes in the industry. Researchers have been engaged in developing simulation models based on the energy dissipation to predict the behavior of materials submitted to wear processes. From the characterization of a friction material applied to drum brakes, a method was developed to predict its durability from the energy dissipated in events of braking. For this, it was necessary to develop and apply the Wear Damage Accumulation Rule. The concept behind this rule was based on the Palmgren–Miner damage linear accumulation rule, applied to predict the fatigue response of structural components. For the characterization of the friction material, scale wear bench tests, where specimens were cycled at different intensities of normal load and temperatures, were performed. The energy dissipated in the brakes of a commercial vehicle equipped with the same friction material was obtained along a typical route using adequate equipment. The Wear Damage Accumulation Rule was applied to predict its life. The result was compared to the prediction of its durability obtained by a traditional method applied by the industry. The results obtained by both methods were similar, indicating that the proposed method has the potential for practical application. From the validation of the method presented in this work, new simulation tools could be created and developed to make the process of development of friction materials faster and less expensive for the automotive industry.
DOI: 10.6084/m9.figshare.21317713.v1
title: A Method to Predict the Durability of Friction Materials Applied on Drum Brakes Based on the Dissipation of Braking Energy

description: It is becoming more and more common to apply simulation tools with the purpose of reducing the development time of new products and processes in the industry. Researchers have been engaged in developing simulation models based on the energy dissipation to predict the behavior of materials submitted to wear processes. From the characterization of a friction material applied to drum brakes, a method was developed to predict its durability from the energy dissipated in events of braking. For this, it was necessary to develop and apply the Wear Damage Accumulation Rule. The concept behind this rule was based on the Palmgren–Miner damage linear accumulation rule, applied to predict the fatigue response of structural components. For the characterization of the friction material, scale wear bench tests, where specimens were cycled at different intensities of normal load and temperatures, were performed. The energy dissipated in the brakes of a commercial vehicle equipped with the same friction material was obtained along a typical route using adequate equipment. The Wear Damage Accumulation Rule was applied to predict its life. The result was compared to the prediction of its durability obtained by a traditional method applied by the industry. The results obtained by both methods were similar, indicating that the proposed method has the potential for practical application. From the validation of the method presented in this work, new simulation tools could be created and developed to make the process of development of friction materials faster and less expensive for the automotive industry.
DOI: 10.5517/ccdc.csd.cc298cwv
title: CCDC 2123217: Experimental Crystal Structure Determination

description: Related Article: Aron Peter|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc298cxw
title: CCDC 2123218: Experimental Crystal Structure Determination

description: Related Article: Aron Peter|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc298djj
title: CCDC 2123237: Experimental Crystal Structure Determination

description: Related Article: Aron Peter|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7428762
title: PO_S.MU_Floorplan

description: Floorplan of the campus Mutsaard. Current location of the Product Development department of the University of Antwerp.
DOI: 10.5281/zenodo.7428761
title: PO_S.MU_Floorplan

description: Floorplan of the campus Mutsaard. Current location of the Product Development department of the University of Antwerp.
DOI: 10.6084/m9.figshare.21711155
title: Supplementary dataset.xlsx

description: Supplemental datasets for the paper "Continental-scale disconnection between plant-microbial nutrient limitation"
DOI: 10.5066/p92yvb9v
title: Geospatial datasets and hydraulic model for flood-inundation maps for the Schoharie Creek in North Blenheim, NY

description: Digital flood-inundation maps for a 2.4-mile reach of the Schoharie Creek in North Blenheim, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the New York Power Authority. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at https://fim.wim.usgs.gov/fim/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Schoharie Creek near North Blenheim, NY (station number 01350212). Flood profiles were computed for the stream reach by means of a two-dimensional implicit finite volume hydraulic model. The model was calibrated using the active (as of April, 2021) stage-discharge ratings at two USGS streamgages on the Schoharie Creek (Schoharie Creek near North Blenheim, NY [01350212] and Schoharie Creek at North Blenheim, NY [01350180]) and documented high-water marks in the study reach from the floods of August 28, 2011, January 19, 1996, and April 4, 1987.� The hydraulic model was used to compute 13 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 14 ft, or near bankfull, to 26 ft, which is the highest whole-foot-increment on the stage-discharge rating for the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.52-ft vertical accuracy and 3.3-ft horizontal resolution) to delineate the area flooded at each stage. This data release contains five child items: (1) the field survey points used in model development; (2) the hydraulic model used to develop the inundation maps, and the (3) depth grids, (4) inundation polygons, and (5) water surface elevation grids from the model output.
DOI: 10.5281/zenodo.7397132
title: HTC composting viruses: release v1.0

description: This release contains viral and bacterial genomes datasets and relevant code used to generate results for the manuscript“Mesophilic and thermophilic viruses drive nutrient cycling during hyperthermophilic composting".
DOI: 10.5281/zenodo.7397131
title: HTC composting viruses: release v1.0

description: This release contains viral and bacterial genomes datasets and relevant code used to generate results for the manuscript“Mesophilic and thermophilic viruses drive nutrient cycling during hyperthermophilic composting".
DOI: 10.5281/zenodo.7142992
title: Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions (DATA and Python codes)

description: The data contain experimental and numerical challenge response pairs (CRPs) collected by experimental setup and using Puffraction homebuilt code. In the data set is available all CRPs referred to the paper entitled "Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions" by Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich R"uhrmair, and Francesco Riboli. The <strong><em>puffractio</em></strong> python code used to generate and process the numerical data is available at the following link https://github.com/lpattelli/puffractio.git Please cite the following paper: Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich Rührmair, Francesco Riboli https://onlinelibrary.wiley.com/doi/full/10.1002/adpr.202200225
description: For details about the code used to simulate perturbations in optical physical unclonable functions or data analysis, please feel free to contact G.E. Lio at lio@lens.unifi.it or L. Pattelli at pattelli@lens.unifi.it
DOI: 10.5281/zenodo.5986424
title: Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions (DATA and Python codes)

description: The data contain experimental and numerical challenge response pairs (CRPs) collected by experimental setup and using Puffraction homebuilt code. In the data set is available all CRPs referred to the paper entitled "Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions" by Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich R"uhrmair, and Francesco Riboli. The <strong><em>puffractio</em></strong> python code used to generate and process the numerical data is available at the following link https://github.com/lpattelli/puffractio.git Please cite the following paper: Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich Rührmair, Francesco Riboli https://onlinelibrary.wiley.com/doi/full/10.1002/adpr.202200225
description: For details about the code used to simulate perturbations in optical physical unclonable functions or data analysis, please feel free to contact G.E. Lio at lio@lens.unifi.it or L. Pattelli at pattelli@lens.unifi.it
DOI: 10.6084/m9.figshare.21711212.v1
title: Supplementary Material for: Detection of Acute Traumatic Coagulopathy by Viscoelastic Haemostatic Assays Compared to Standard Laboratory Tests: A Systematic Review

description: <b><i>Introduction:</i></b> The aim of this systematic review was to investigate whether viscoelastic haemostatic assays (VHAs) offer comparative diagnostic ability of acute traumatic coagulopathy (ATC) compared to the standard laboratory coagulation tests (SLCT). ATC is a complication of major trauma characterized by dysfunctional blood clotting, leading to an increased bleeding risk. Additionally, we aimed to analyse the association of VHA with blood product use and health outcomes. <b><i>Methods:</i></b> The search protocol was pre-published and completed on December 2, 2020, assessing manuscripts from 2000 until the present. We searched MEDLINE, Embase, Cochrane Central, BIOSIS, Emcare, CINAHL, and additional online resources and referenced lists. Included were manuscripts that quantitatively reported the detection of ATC using VHAs and SLCTs. A meta-analysis was undertaken including observational studies that reported on patients with injuries to all body regions and results analysed using a random-effects model and reported using pooled odds ratio with 95% confidence intervals (CI). <b><i>Results:</i></b> There were 14 observational studies and one randomized control trial involving 2,715 participants that satisfied inclusion criteria. We observed significant heterogeneity in the definitions of ATC, study design, setting, and patient population. Among observational studies that reported on patients with injuries to all body regions, VHAs were associated with higher odds of diagnosing ATC compared to SLCT (pooled OR 2.4; 95% CI: 1.4–4.1). There was inadequate evidence to suggest VHAs were associated with reduced blood product usage or lower mortality. <b><i>Conclusion:</i></b> VHAs detected more patients with ATC compared to SLCTs. However, the clinical significance and applicability of this finding remains unknown as translation to management was not adequately reported.
DOI: 10.5066/p9wkn3fy
title: Model Archive: Simulation of Sediment Transport, Middle Channel of St. Clair River Delta, Michigan

description: This archive contains results of flow and sediment transport simulations of a reach of the Middle Channel of the St. Clair River delta, Michigan using the iRIC modeling system and the Flow and Sediment Transport with Morphologic Evolution of Channels (FASTMECH) solver. Two hydraulic model simulations were used to determine lateral eddy viscosity and roughness settings. A third simulation contains results of the Wilcox-Kenworthy (WK) two-fraction sediment transport model. The WK model was used to simulate the movement of fine grained sediment into coarser immobile substrate. The coarse rock rubble substrate (reefs) constructed in the Middle Channel in 2012 began filling with sand within a year. However, detailed field data to verify the spatial and temporal process of colmation in the Middle Channel reefs are not available. Thus, the sediment transport predictions cannot be explicitly validated but can be compared with field measurements of bedform translation. The archive is split into child-items to help distinguish the individual components of the archive and make downloading of large files more manageable in terms of data size.
DOI: 10.6084/m9.figshare.21707492
title: Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid

description: All raw data of "Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid''
DOI: 10.6084/m9.figshare.21707492.v4
title: Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid

description: All raw data of "Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid''
DOI: 10.6084/m9.figshare.21707492.v5
title: Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid

description: All raw data of "Evaluation of dry eye severity and ocular surface inflammation in patients with pemphigus and pemphigoid''
DOI: 10.34740/kaggle/dsv/4712850
title: Mahanagar Yatayat Dataset
DOI: 10.21954/ou.rd.21341064.v1
title: The impact of OU microcredential courses

description: This dataset was used for phase 3 of the Open University microcredentials evaluation study and focuses on the impact of microcredential courses. It was collected from learners who studied a 21J presentation of an OU microcredential course six months after the end of the courses. Participants gave their consent for this information to be deposited within ORDO and used for future research and learning in accordance with the OU Data Research Management Policy. <br> The spreadsheet contains 38 learners’ anonymised responses to survey questions about the impact of their courses. <br> The document consists of nine vignettes of learners’ narratives about the impact of their courses shared at interview. The names given are pseudonyms.
DOI: 10.21954/ou.rd.21341064
title: The impact of OU microcredential courses

description: This dataset was used for phase 3 of the Open University microcredentials evaluation study and focuses on the impact of microcredential courses. It was collected from learners who studied a 21J presentation of an OU microcredential course six months after the end of the courses. Participants gave their consent for this information to be deposited within ORDO and used for future research and learning in accordance with the OU Data Research Management Policy. <br> The spreadsheet contains 38 learners’ anonymised responses to survey questions about the impact of their courses. <br> The document consists of nine vignettes of learners’ narratives about the impact of their courses shared at interview. The names given are pseudonyms.
DOI: 10.25318/3310062201-eng
title: Approval status on credit or loan applications and reasons provided for turned down requests over the last 12 months, fourth quarter of 2022

description: Approval status on credit or loan applications and reasons provided for turned down requests over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2022.
DOI: 10.25318/3310062201-fra
title: Approbation des demandes de crédit et de prêt et raisons invoquées lorsque la demande a été refusée au cours des 12 derniers mois, quatrième trimestre de 2022

description: Approbation des demandes de crédit et de prêt et raisons invoquées lorsque la demande a été refusée au cours des 12 derniers mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2022.
DOI: 10.48544/b6644737-c925-4c9b-a7a6-108c6bfc1eed
title: IDE Surf Sharekit
DOI: 10.25318/3310062301-eng
title: Reasons business or organization did not apply for business loans, fourth quarter of 2022

description: Reasons business or organization did not apply for business loans, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2022.
DOI: 10.6073/pasta/89ade69c1455206514660f6fab27ef00
title: Chemistry of rainfall and throughfall from El Verde and Bisley

description: Rain, throughfall, and stream water are collected weekly at the LEF sites listed below. Samples are collected by USDA Forest Service technicians Carlos Estrada in the field filtered in the lab by Miriam Salgado. These data sets begin as early as 1983; LTER sampling began in 1988. Rain and throughfall samples are the total catch for the week, and are exposed to field conditions for that time. No event sampling is conducted on a routine basis. Rain samples from WDEV are wet only from an automatically-closing collector that prevents any dry deposition (Aerochem Metrics NADP collector). RCEV and RCB are bulk or always-open collectors that receive dry deposition by sedimentation. All samples are measured for pH and conductivity, and then filtered (pre-combusted Whatman GF/F glass fiber filter) prior to further analysis. From 1983-1994 samples were cooled and returned to the San Juan chemistry laboratory for analysis. During those years, samples for NH4 and NO3 analyses were refrigerated continuously until analysis. Subsamples for NH4 analysis were also preserved with 1 molar H2SO4. From 1994 on, samples for NH4 and NO3 were frozen until analysis, were not acidified, and all analyses were conducted at the University of New Hampshire. Rain and Throughfall Sampling SitesDescriptions of LTER LUQ rain and throughfall weekly sample chemistry data from 1988 onwards. Chemical concentrations are recorded as mg/L or ug/L as appropriate. Values below detection limits are recorded as 1/2 the detection limit. Site Abbreviation Description Comments Rain collector Bisley. RCB Bulk collector. Rain collector El Verde RCEV Bulk collector. Wet/dry El Verde. WDEV. Wet only collector. Throughfall Bisley. TFB=TCB TF bulk 10-collector composite Bisley gap= BGAP, TF bulk 10-collector composite
DOI: 10.3886/icpsr38594.v1
title: College and Beyond II (CBII) Student Experience Analytics, [United States], 2000-2021
title: Version 1

description: The College and Beyond II (CBII) Student Experience Analytics Study contains contextual analytics of students' undergraduate experience based solely on information extracted from the Administrative Data. The study consists of two sets of derived measures, the Transcript of the Future measures and the Course Diversity measures. They are provided as examples of the types of aggregate measures that can be distilled from transcript data. Users are encouraged to explore their potential for measuring the student experience. Code similar to that used to generate the Transcript of the Future measures can be found here on Github. The following Student Experience Analytics variables were developed by Koester et al. (2017): transcript_student_effect, transcript_course_effect, transcript_breadth, and transcript_div_major. If you use them in your work, please cite the following: <em>Koester, B.P., Fogel, J., Murdock III, W., Grom, G., & McKay, T.A. (2017). Building a transcript of the future. In Proceedings of the Seventh International Analytics & Knowledge Conference (pp. 209-308).</em>
description: Each of the seven Transcript of the Future files (A - G) contain the same 10 variables. Each of the seven Course Diversity files (A - G) contain the same 19 variables.
description: Datasets: DS1: College and Beyond II (CBII) Student Experience Analytics, [United States], 2000-2021
description: The target population is bachelor's degree-seeking undergraduates enrolled at CBII partner institutions since 2000.
description: record abstracts
DOI: 10.3886/icpsr38594
title: College and Beyond II (CBII) Student Experience Analytics, [United States], 2000-2021
title: Archival Version

description: The College and Beyond II (CBII) Student Experience Analytics Study contains contextual analytics of students' undergraduate experience based solely on information extracted from the Administrative Data. The study consists of two sets of derived measures, the Transcript of the Future measures and the Course Diversity measures. They are provided as examples of the types of aggregate measures that can be distilled from transcript data. Users are encouraged to explore their potential for measuring the student experience. Code similar to that used to generate the Transcript of the Future measures can be found here on Github. The following Student Experience Analytics variables were developed by Koester et al. (2017): transcript_student_effect, transcript_course_effect, transcript_breadth, and transcript_div_major. If you use them in your work, please cite the following: <em>Koester, B.P., Fogel, J., Murdock III, W., Grom, G., & McKay, T.A. (2017). Building a transcript of the future. In Proceedings of the Seventh International Analytics & Knowledge Conference (pp. 209-308).</em>
description: Each of the seven Transcript of the Future files (A - G) contain the same 10 variables. Each of the seven Course Diversity files (A - G) contain the same 19 variables.
description: Datasets: DS1: College and Beyond II (CBII) Student Experience Analytics, [United States], 2000-2021
description: The target population is bachelor's degree-seeking undergraduates enrolled at CBII partner institutions since 2000.
description: record abstracts
DOI: 10.25318/3310062301-fra
title: Raisons pour lesquelles l’entreprise ou l’organisme n’a pas présenté de demande de prêt aux entreprises, quatrième trimestre de 2022

description: Raisons pour lesquelles l’entreprise ou l’organisme n’a pas présenté de demande de prêt aux entreprises, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2022.