cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20705764.v1
title: Data & Souce Code for General-Purpose and Domain-Specific Comparison study

description: Data & Souce Code for General-Purpose and Domain-Specific Comparison study
DOI: 10.25952/n51s-kz41
title: Improving Subsurface Drainage Design

description: This paper addresses how the design of subsurface drainage systems impacts on the drainage volume and salinity of drainage water generated. The effects of drain depth and spacing are reviewed and discussed. The conceptualization of a subsurface drainage system which incorporates drainage water quality into the design is presented. This system, known as a Multi-Level Drainage System, aims to minimize offside impacts associated with subsurface drainage while still providing adequate protection from water logging and salinity of the plant root zone. This is achieved through the use of a shallow closely spaced drainage system (0.7m deep at 3.3m) underlain by a deeper, widely spaced drainage system (1.8m deep at 20m). Field investigations show that the shallow drains had approximately five times lower salinity than deep drains, with median values being 5.5 dS/m and 28 dS/m respectively. The results indicate that, by re-thinking subsurface drainage design to incorporate water quality aspects, alternative designs can be formulated which go some way to meet the present day environmental constraints placed on subsurface drainage systems.
description: This paper addresses how the design of subsurface drainage systems impacts on the drainage volume and salinity of drainage water generated. The effects of drain depth and spacing are reviewed and discussed. The conceptualization of a subsurface drainage system which incorporates drainage water quality into the design is presented. This system, known as a Multi-Level Drainage System, aims to minimize offside impacts associated with subsurface drainage while still providing adequate protection from water logging and salinity of the plant root zone. This is achieved through the use of a shallow closely spaced drainage system (0.7m deep at 3.3m) underlain by a deeper, widely spaced drainage system (1.8m deep at 20m). Field investigations show that the shallow drains had approximately five times lower salinity than deep drains, with median values being 5.5 dS/m and 28 dS/m respectively. The results indicate that, by re-thinking subsurface drainage design to incorporate water quality aspects, alternative designs can be formulated which go some way to meet the present day environmental constraints placed on subsurface drainage systems.
DOI: 10.5517/ccdc.csd.cc2bnqxn
title: CCDC 2164882: Experimental Crystal Structure Determination

description: Related Article: Adriana Sacristán-Martín, Daniel Miguel, Héctor Barbero, Celedonio M. Álvarez|2022|Org.Lett.|24|5879|doi:10.1021/acs.orglett.2c01856
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.cc2bnqyp
title: CCDC 2164883: Experimental Crystal Structure Determination

description: Related Article: Adriana Sacristán-Martín, Daniel Miguel, Héctor Barbero, Celedonio M. Álvarez|2022|Org.Lett.|24|5879|doi:10.1021/acs.orglett.2c01856
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.cc2bnqzq
title: CCDC 2164884: Experimental Crystal Structure Determination

description: Related Article: Adriana Sacristán-Martín, Daniel Miguel, Héctor Barbero, Celedonio M. Álvarez|2022|Org.Lett.|24|5879|doi:10.1021/acs.orglett.2c01856
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.cc2bnr0s
title: CCDC 2164885: Experimental Crystal Structure Determination

description: Related Article: Adriana Sacristán-Martín, Daniel Miguel, Héctor Barbero, Celedonio M. Álvarez|2022|Org.Lett.|24|5879|doi:10.1021/acs.orglett.2c01856
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.cc2bnr1t
title: CCDC 2164886: Experimental Crystal Structure Determination

description: Related Article: Adriana Sacristán-Martín, Daniel Miguel, Héctor Barbero, Celedonio M. Álvarez|2022|Org.Lett.|24|5879|doi:10.1021/acs.orglett.2c01856
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.cc2bsl80
title: CCDC 2168582: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bsl91
title: CCDC 2168583: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslb2
title: CCDC 2168584: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslc3
title: CCDC 2168585: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bsld4
title: CCDC 2168586: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslf5
title: CCDC 2168587: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslg6
title: CCDC 2168588: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslh7
title: CCDC 2168589: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bslj8
title: CCDC 2168590: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bsl6y
title: CCDC 2168580: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2bsl7z
title: CCDC 2168581: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Sheng, Cheng-Cai Xia, Xin-Yu Zhang, Cheng-Cheng Zhang, Wen-Jie Ji, Yue Zhao, Xin-Yi Wang|2022|Inorg.Chem.|61|12726|doi:10.1021/acs.inorgchem.2c01795
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.cc2c0nqs
title: CCDC 2175385: Experimental Crystal Structure Determination

description: Related Article: C. Vance Thompson, Ana L. Narro, Hadi D. Arman, Zachary J. Tonzetich|2022|Organometallics|41|2291|doi:10.1021/acs.organomet.2c00265
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.cc2c0nrt
title: CCDC 2175386: Experimental Crystal Structure Determination

description: Related Article: C. Vance Thompson, Ana L. Narro, Hadi D. Arman, Zachary J. Tonzetich|2022|Organometallics|41|2291|doi:10.1021/acs.organomet.2c00265
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.cc29l0kh
title: CCDC 2132476: Experimental Crystal Structure Determination

description: Related Article: Stephanie H. Carpenter, Nikki J. Wolford, Brennan S. Billow, Taylor V. Fetrow, Nathalia Cajiao, Aleksa Radović, Michael T. Janicke, Michael L. Neidig, Aaron M. Tondreau|2022|Inorg.Chem.|61|12508|doi:10.1021/acs.inorgchem.2c00639
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.7026248
title: Training Deep Learning Models to Estimate Permeability using Geophysical Datasets

description: This folder contains the dataset for training deep learning models to estimate permeability using hydro-geophysics simulations
DOI: 10.5281/zenodo.7026247
title: Training Deep Learning Models to Estimate Permeability using Geophysical Datasets

description: This folder contains the dataset for training deep learning models to estimate permeability using hydro-geophysics simulations
DOI: 10.34740/kaggle/dsv/4133567
title: WallStreetBets 2022
DOI: 10.6084/m9.figshare.20455116
title: Contribution of CRISPRable DNA to human complex traits

description: Source data for Figure 1-4 in the article 'Contribution of CRISPRable DNA to human complex traits', code for the plots is in the corresponding .R file.
DOI: 10.6084/m9.figshare.20455116.v2
title: Contribution of CRISPRable DNA to human complex traits

description: Source data for Figure 1-4 in the article 'Contribution of CRISPRable DNA to human complex traits', code for the plots is in the corresponding .R file.
DOI: 10.6084/m9.figshare.20455116.v1
title: Figure 1 - 4

description: Source data for Figure 1-4 in the article 'Contribution of CRISPRable DNA to human complex traits', codes for the plots are in the corresponding .R file.
DOI: 10.6084/m9.figshare.13227796.v1
title: First trimester fasting plasma glucose screen in advanced maternal age women: a cost-effectiveness analysis

description: The prevalence of preexisting type 2 diabetes mellitus (T2DM) in the United States is on the rise. Women of advanced maternal age (AMA, ≥35 years) are more likely to have preexisting T2DM in pregnancy because glucose intolerance increases with age. Diabetes in pregnancy is associated with significant maternal and neonatal morbidity and mortality, and earlier treatment initiation improves pregnancy outcomes. However, maternal age is not currently recognized as an independent risk factor that warrants diabetes screening prior to the traditional screen at 24–28 weeks gestation. To evaluate the cost-effectiveness of screening all AMA women with a first trimester fasting plasma glucose (FPG) test for earlier diagnosis and management of preexisting T2DM. A decision-analytic model was created to compare pregnancy outcomes in AMA women who undergo a first trimester FPG test vs third trimester oral glucose tolerance test alone. Probabilities were obtained from the literature. Outcomes examined included preeclampsia, preterm delivery, macrosomia, shoulder dystocia, brachial plexus injury (BPI), intrauterine fetal demise (IUFD), cerebral palsy, and neonatal death. The cost, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio of the first trimester screening strategy were examined as well. Sensitivity analyses and a Monte Carlo simulation were performed to test the model’s robustness. In AMA women, screening for preexisting T2DM in the first trimester with an FPG test resulted in fewer cases of preeclampsia, preterm delivery, BPI, IUFD, cerebral palsy, and neonatal death compared to performing a third trimester oral glucose tolerance test alone, and is cost-effective. Monte Carlo analysis incorporating the distribution of all probabilities showed that first trimester FPG screening remained cost-effective as long as the incremental cost of initiating diabetes treatment in the first trimester was less than $150,000 and the cost of the FPG screen was less than $2700. Compared to third trimester oral glucose tolerance test alone, performing a first trimester FPG screen in AMA women is cost-saving and more effective.
DOI: 10.6084/m9.figshare.13227796
title: First trimester fasting plasma glucose screen in advanced maternal age women: a cost-effectiveness analysis

description: The prevalence of preexisting type 2 diabetes mellitus (T2DM) in the United States is on the rise. Women of advanced maternal age (AMA, ≥35 years) are more likely to have preexisting T2DM in pregnancy because glucose intolerance increases with age. Diabetes in pregnancy is associated with significant maternal and neonatal morbidity and mortality, and earlier treatment initiation improves pregnancy outcomes. However, maternal age is not currently recognized as an independent risk factor that warrants diabetes screening prior to the traditional screen at 24–28 weeks gestation. To evaluate the cost-effectiveness of screening all AMA women with a first trimester fasting plasma glucose (FPG) test for earlier diagnosis and management of preexisting T2DM. A decision-analytic model was created to compare pregnancy outcomes in AMA women who undergo a first trimester FPG test vs third trimester oral glucose tolerance test alone. Probabilities were obtained from the literature. Outcomes examined included preeclampsia, preterm delivery, macrosomia, shoulder dystocia, brachial plexus injury (BPI), intrauterine fetal demise (IUFD), cerebral palsy, and neonatal death. The cost, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio of the first trimester screening strategy were examined as well. Sensitivity analyses and a Monte Carlo simulation were performed to test the model’s robustness. In AMA women, screening for preexisting T2DM in the first trimester with an FPG test resulted in fewer cases of preeclampsia, preterm delivery, BPI, IUFD, cerebral palsy, and neonatal death compared to performing a third trimester oral glucose tolerance test alone, and is cost-effective. Monte Carlo analysis incorporating the distribution of all probabilities showed that first trimester FPG screening remained cost-effective as long as the incremental cost of initiating diabetes treatment in the first trimester was less than $150,000 and the cost of the FPG screen was less than $2700. Compared to third trimester oral glucose tolerance test alone, performing a first trimester FPG screen in AMA women is cost-saving and more effective.
DOI: 10.5281/zenodo.7022734
title: JOSSE: A Software Development Effort Dataset Annotated with Expert Estimates

description: The JIRA Open-Source Software Effort (JOSSE) dataset consists of software development and maintenance tasks collected from the JIRA issue tracking system for Apache, JBoss, And Spring open-source projects. All the issues were annotated with actual effort and 19% of them were annotated with expert estimates. JOSSE is a task-based dataset with a textual attribute represented as a task description for each data point. This paper explains how the data were collected and details six data quality refinement procedures of the data points.
DOI: 10.5281/zenodo.7022735
title: JOSSE: A Software Development Effort Dataset Annotated with Expert Estimates

description: The JIRA Open-Source Software Effort (JOSSE) dataset consists of software development and maintenance tasks collected from the JIRA issue tracking system for Apache, JBoss, And Spring open-source projects. All the issues were annotated with actual effort and 19% of them were annotated with expert estimates. JOSSE is a task-based dataset with a textual attribute represented as a task description for each data point. This paper explains how the data were collected and details six data quality refinement procedures of the data points.
DOI: 10.15151/esrf-es-908734883
title: scanning microdiffraction on soft matters

description: scanning microdiffraction on soft matters
DOI: 10.15151/esrf-es-883953759
title: Probing the phase diagram of PolyIon Complex micelles using small angle x-ray scattering

description: We need to learn about the mechanism of formation and organisation of PolyIon Complex (PIC) micelles currently used as templating agents for the synthesis of ordered mesoporous silica materials. PIC micelles are formed by electrostatic complexation between a diblock copolymer, with one block charged, and an oppositely charged polyelectrolyte. Small angle x-ray scattering will be used to obtain the phase diagram of PIC micelles. Our goal is to study the shape and size of the PIC micelles at low concentration, describe the interactions arising at intermediate concentration and characterise the mesophases formed at high concentration, and at various temperatures and pH. Particularly, we are interested in unravelling the influence of the architecture of the neutral block of the copolymer (by studying a linear neutral block or a comb-type one) and of the length of the polyelectrolyte on the shape and size of micelles, but also the type of mesophase achievable.