cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7225800
title: Etching of Nitrides-NbN Heterostructures

description: Niobium Nitride (NbN) is metallic at room temperature. NbN / III-N heterostructures are of interest for<br> new devices applications such as the Metal Base Transistor (MBT). Niobium Nitride etching in fluorine plasma is documented by Reactive Ion Etching (RIE). In this document we present the etching of a III-Nitride NbN heterostructure with fluorine<br> chemistry Inductively Coupled Plasma (ICP).
description: {"references": ["[Delage] S. Delage, WO2019020737 \u2013 Metal-based transistor comprising materials comprising at least one group III element and one group V element, international filing date: 26.07.2018", "[Meng] X.F. Meng,R.S. Amos, A.W. Lichtenberger, R.J. Mattauch, and M.J. Feldnian ; NbN Edge Junction Fabrication : Edge Profile Control by Reactive Ion Etching ; IEEE Transactions on Magnetics, Vol. 25 n\u00b02, pp. 1239-1242, March 1989 ;", "[Guo] S. Guo, Q. Chen, D. Pan, Y. Wu, X. Tu, G. He, H. Han, F. Li, X. Jia, Q. Zhao, H. Zhang, X. Bei, J. Xie, L. Zhang, J. Chen, L. Kang, P. Wu ; Fabrication of superconducting niobium nitride nanowire with high aspect ratio for X-ray photon detection ; Nature (2020) 10:9057 | https://doi.org/10.1038/s41598- 020-65901-5", "[Sreennidhi] T. Sreenidhi, K. Baskar, A. DasGupta, N. DasGupta ; Reactive ion etching of GaN in SF6 + Ar and SF6 + N2 plasma ; Semicond. Sci. Technol. 23 (2008) 125019 (7pp) ; doi:10.1088/0268- 1242/23/12/125019", "[EMPy] https://wiki.nanotech.ucsb.edu/wiki/Laser_Etch_Monitor_Simulation_in_Python", "[Du] X.K. Du, T.M. Wang, C. Wang, B.L. Chen, L. Zhou ; Microstructure and Optical Characterization of Magnetron Sputtered NbN Thin Films ; Chinese Journal of Aeronautics 20(2007) 140-144 ; https://doi.org/10.1016/S1000-9361(07)60021-1"]}
DOI: 10.5281/zenodo.7225799
title: Etching of Nitrides-NbN Heterostructures

description: Niobium Nitride (NbN) is metallic at room temperature. NbN / III-N heterostructures are of interest for<br> new devices applications such as the Metal Base Transistor (MBT). Niobium Nitride etching in fluorine plasma is documented by Reactive Ion Etching (RIE). In this document we present the etching of a III-Nitride NbN heterostructure with fluorine<br> chemistry Inductively Coupled Plasma (ICP).
description: {"references": ["[Delage] S. Delage, WO2019020737 \u2013 Metal-based transistor comprising materials comprising at least one group III element and one group V element, international filing date: 26.07.2018", "[Meng] X.F. Meng,R.S. Amos, A.W. Lichtenberger, R.J. Mattauch, and M.J. Feldnian ; NbN Edge Junction Fabrication : Edge Profile Control by Reactive Ion Etching ; IEEE Transactions on Magnetics, Vol. 25 n\u00b02, pp. 1239-1242, March 1989 ;", "[Guo] S. Guo, Q. Chen, D. Pan, Y. Wu, X. Tu, G. He, H. Han, F. Li, X. Jia, Q. Zhao, H. Zhang, X. Bei, J. Xie, L. Zhang, J. Chen, L. Kang, P. Wu ; Fabrication of superconducting niobium nitride nanowire with high aspect ratio for X-ray photon detection ; Nature (2020) 10:9057 | https://doi.org/10.1038/s41598- 020-65901-5", "[Sreennidhi] T. Sreenidhi, K. Baskar, A. DasGupta, N. DasGupta ; Reactive ion etching of GaN in SF6 + Ar and SF6 + N2 plasma ; Semicond. Sci. Technol. 23 (2008) 125019 (7pp) ; doi:10.1088/0268- 1242/23/12/125019", "[EMPy] https://wiki.nanotech.ucsb.edu/wiki/Laser_Etch_Monitor_Simulation_in_Python", "[Du] X.K. Du, T.M. Wang, C. Wang, B.L. Chen, L. Zhou ; Microstructure and Optical Characterization of Magnetron Sputtered NbN Thin Films ; Chinese Journal of Aeronautics 20(2007) 140-144 ; https://doi.org/10.1016/S1000-9361(07)60021-1"]}
DOI: 10.18430/m38eps
title: X-ray diffraction data for the crystal Structure of Acetyl-CoA synthetase in complex with an allyl ester AMP inhibitor from Cryptococcus neoformans H99 (8EPS)
DOI: 10.5281/zenodo.7225781
title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners__IT_UNIPI_2022.10.19_v02

description: Dataset containing information about the choice experiment carried out in Liguria Region for the CONSOLE Project
DOI: 10.5281/zenodo.7225780
title: CONSOLE_WP3_Task3.2_Pan-EU survey of farmers and other rural landowners__IT_UNIPI_2022.10.19_v02

description: Dataset containing information about the choice experiment carried out in Liguria Region for the CONSOLE Project
DOI: 10.25822/0vvb-6t89
title: Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide Phase I Study (ANSWERS)
DOI: 10.5281/zenodo.7225827
title: Alberta fireball data

description: The data set is associated with the following paper: Vida et al. (2022) "Direct measurement of decimeter-sized rocky material in the Oort<br> cloud", accepted for publication in Nature Astronomy. Please cite the paper if re-using this dataset.
DOI: 10.5281/zenodo.7225826
title: Alberta fireball data

description: The data set is associated with the following paper: Vida et al. (2022) "Direct measurement of decimeter-sized rocky material in the Oort<br> cloud", accepted for publication in Nature Astronomy. Please cite the paper if re-using this dataset.
DOI: 10.24376/rd.sgul.21362469
title: Data supporting "Comparison of clinical outcomes between Active and Permissive blood pressure management in extremely preterm infants"

description: Data set analysed in "<strong>Comparison of clinical outcomes between Active and Permissive blood pressure management in extremely preterm infants</strong>" by Aladangady et al. <br> <br> Study design: This was a retrospective medical records review study. The neonatal unit outcomes of all extreme preterm babies were compared between Hospital 1 which aims to maintain BP above 30 mmHg irrespective of the gestational age (GA) (Active BP support group) and Hospital 2 which uses medication only if babies developed clinical signs of low BP (Permissive BP support group). The criteria used for intervention in the Permissive BP support group was mean arterial blood pressure (MABP) lower than the gestational age in weeks of the infant with clinical evidence of poor perfusion (poor skin colour/capillary refill time &gt;3 secs, urine output &lt;1ml/kg/hour from weighing of urine, lactate &gt;3mmol/l, worsening base deficit/base deficit &gt;8mmol/l and/or increasing oxygen requirement). Both centres had a comparable BP management protocol, consisting of initial 0.9% saline bolus of 10 to 20 ml/kg, followed by Dopamine, and then the addition of other inotropes if required, to achieve the predetermined Active and Permissive BP support. <br> Participants: All preterm infants born at 23+0-28+6 weeks gestation admitted to two neonatal units over 4 years from 1st January 2007 to 31st December 2010 were eligible. Babies admitted after 12 hours of age, with major congenital abnormalities, and whose intensive care observational charts (to collect BP data) were not traceable, were excluded. <br> Data collected: Pregnancy complications (antenatal Doppler findings, chorioamnionitis, hypertension), condition of the baby at birth (Clinical Risk Index for Babies (CRIB) score, cord pH and Lactate), and demographics of infants were collected using Electronic Patient Record (EPR) and BadgerNet (UK national neonatal EPR). Hourly systolic (SBP) and mean arterial (MABP) BP data were collected from intensive care charts. Inotropic medications, fluid bolus, red blood cell and other blood products used were gathered from medication and/or prescription charts. Short-term outcomes such as necrotising enterocolitis (NEC), intraventricular haemorrhage (IVH)/brain injury identified by brain ultrasound scan, bronchopulmonary dysplasia (BPD), patent ductus arteriosus (PDA), death or discharge, and duration of BAPM levels of care provided were collected from BadgerNet. NEC was defined by Bell’s stage of classification 23. BPD was defined as oxygen dependency at 36 weeks post conceptional age 24. PDA was confirmed by echocardiography. Ten percent of BP data collected was randomly verified by two researchers for confirmation of accuracy. <br>
DOI: 10.24376/rd.sgul.21362469.v1
title: Data supporting "Comparison of clinical outcomes between Active and Permissive blood pressure management in extremely preterm infants"

description: Data set analysed in "<strong>Comparison of clinical outcomes between Active and Permissive blood pressure management in extremely preterm infants</strong>" by Aladangady et al. <br> <br> Study design: This was a retrospective medical records review study. The neonatal unit outcomes of all extreme preterm babies were compared between Hospital 1 which aims to maintain BP above 30 mmHg irrespective of the gestational age (GA) (Active BP support group) and Hospital 2 which uses medication only if babies developed clinical signs of low BP (Permissive BP support group). The criteria used for intervention in the Permissive BP support group was mean arterial blood pressure (MABP) lower than the gestational age in weeks of the infant with clinical evidence of poor perfusion (poor skin colour/capillary refill time &gt;3 secs, urine output &lt;1ml/kg/hour from weighing of urine, lactate &gt;3mmol/l, worsening base deficit/base deficit &gt;8mmol/l and/or increasing oxygen requirement). Both centres had a comparable BP management protocol, consisting of initial 0.9% saline bolus of 10 to 20 ml/kg, followed by Dopamine, and then the addition of other inotropes if required, to achieve the predetermined Active and Permissive BP support. <br> Participants: All preterm infants born at 23+0-28+6 weeks gestation admitted to two neonatal units over 4 years from 1st January 2007 to 31st December 2010 were eligible. Babies admitted after 12 hours of age, with major congenital abnormalities, and whose intensive care observational charts (to collect BP data) were not traceable, were excluded. <br> Data collected: Pregnancy complications (antenatal Doppler findings, chorioamnionitis, hypertension), condition of the baby at birth (Clinical Risk Index for Babies (CRIB) score, cord pH and Lactate), and demographics of infants were collected using Electronic Patient Record (EPR) and BadgerNet (UK national neonatal EPR). Hourly systolic (SBP) and mean arterial (MABP) BP data were collected from intensive care charts. Inotropic medications, fluid bolus, red blood cell and other blood products used were gathered from medication and/or prescription charts. Short-term outcomes such as necrotising enterocolitis (NEC), intraventricular haemorrhage (IVH)/brain injury identified by brain ultrasound scan, bronchopulmonary dysplasia (BPD), patent ductus arteriosus (PDA), death or discharge, and duration of BAPM levels of care provided were collected from BadgerNet. NEC was defined by Bell’s stage of classification 23. BPD was defined as oxygen dependency at 36 weeks post conceptional age 24. PDA was confirmed by echocardiography. Ten percent of BP data collected was randomly verified by two researchers for confirmation of accuracy. <br>
DOI: 10.5281/zenodo.6857259
title: Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions

description: This repo includes the GEOS-Chem simulations and R scripts that are needed to replicate and evaluate the conclusions from Qiu, Zigler, and Selin, ACP, 2022 "Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions". <strong>The GEOS-Chem simulations</strong> For the US (2011-2017): <em>observational_o3_pm_2011_2017_us.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions). <em>counterfactual_o3_pm_2011_2017_us.rds</em><em>:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions). <em>constant_emis_o3_pm_2012_2017_us.rds: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions). <em>regional_features_2011_2017_4x5_us.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model. For China (2013-2017): <em>observational_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions). <em>counterfactual_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions). <em>constant_emis_o3_pm_2014_2017_china.rds</em><em>: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions). <em>regional_features_2013_2017_4x5_china.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model. <strong>R scripts:</strong> main.r: the main script to perform statistical correction of meteorological variability. main.r uses functions from the other R script files (see below) which perform different statistical correction methods, respectively. parametric_regression_methods.r: performs meteorological correction with parametric regression methods (MLR, polynomial, spline, GAM) tune_RF_regional.r and RF_regional.r: perform the meteorological correction with the "RF-regional" model GEOS_Chem_constant_emis.r: performs the meteorological correction using the simulations from the constant emission scenarios from the GEOS-Chem model
DOI: 10.5281/zenodo.6857258
title: Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions

description: This repo includes the GEOS-Chem simulations and R scripts that are needed to replicate and evaluate the conclusions from Qiu, Zigler, and Selin, ACP, 2022 "Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions". <strong>The GEOS-Chem simulations</strong> For the US (2011-2017): <em>observational_o3_pm_2011_2017_us.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions). <em>counterfactual_o3_pm_2011_2017_us.rds</em><em>:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions). <em>constant_emis_o3_pm_2012_2017_us.rds: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions). <em>regional_features_2011_2017_4x5_us.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model. For China (2013-2017): <em>observational_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions). <em>counterfactual_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions). <em>constant_emis_o3_pm_2014_2017_china.rds</em><em>: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions). <em>regional_features_2013_2017_4x5_china.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model. <strong>R scripts:</strong> main.r: the main script to perform statistical correction of meteorological variability. main.r uses functions from the other R script files (see below) which perform different statistical correction methods, respectively. parametric_regression_methods.r: performs meteorological correction with parametric regression methods (MLR, polynomial, spline, GAM) tune_RF_regional.r and RF_regional.r: perform the meteorological correction with the "RF-regional" model GEOS_Chem_constant_emis.r: performs the meteorological correction using the simulations from the constant emission scenarios from the GEOS-Chem model
DOI: 10.5066/f75x27tw
title: Hydraulic Conductivity Data for Piezometers Near Cottonwood Lake Study Area, North Dakota (1978-2017)

description: Hydraulic conductivity (K), calculated at wells in and near Cottonwood Lake Study Area, North Dakota.
DOI: 10.5066/f7n58jj2
title: Cottonwood Lake Study Area - Water Chemistry - Wells - In Situ Measurements

description: In situ specific conductance, pH, and temperature measurements from wells at the Cottonwood Lake Study Area, Statesman County, North Dakota, 1987 to 1995.
DOI: 10.5066/f7v69gtd
title: Cottonwood Lake Study Area - Digital Elevation Model with Topobathy

description: This dataset contains a bare earth DEM, with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The digital elevation model (DEM) was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota., and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Additional DEM processing to incorporate the bathymetry of study wetlands was done using survey-grade global positioning system (GPS) data collected by soundings of the bottom of each wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site.
DOI: 10.5066/f7dn437s
title: Cottonwood Lake Study Area - Water Chemistry - Wetlands

description: This dataset contains water chemistry information for wetlands at the Cottonwood Lake Study Area, Statesman County, North Dakota.
DOI: 10.5517/ccdc.csd.cc28l8rx
title: CCDC 2102939: Experimental Crystal Structure Determination

description: Related Article: Aydın Aktaş, Gül Yakalı, Yeliz Demir, İlhami Gülçin, Muhittin Aygün, Yetkin Gök|2022|Heliyon|8|e10625|doi:10.1016/j.heliyon.2022.e10625
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.cc28l8sy
title: CCDC 2102940: Experimental Crystal Structure Determination

description: Related Article: Aydın Aktaş, Gül Yakalı, Yeliz Demir, İlhami Gülçin, Muhittin Aygün, Yetkin Gök|2022|Heliyon|8|e10625|doi:10.1016/j.heliyon.2022.e10625
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.cc28ljdt
title: CCDC 2103176: Experimental Crystal Structure Determination

description: Related Article: Aydın Aktaş, Gül Yakalı, Yeliz Demir, İlhami Gülçin, Muhittin Aygün, Yetkin Gök|2022|Heliyon|8|e10625|doi:10.1016/j.heliyon.2022.e10625
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.cc28phq6
title: CCDC 2106038: Experimental Crystal Structure Determination

description: Related Article: Angelica E. Graminha, Cecília Popolin, João Honorato de Araujo-Neto, Rodrigo S. Correa, Kátia M. de Oliveira, Luani R. Godoy, Legna Colina Vegas, Javier Ellena, Alzir A. Batista, Marcia R. Cominetti|2022|Eur.J.Med.Chem.|243|114772|doi:10.1016/j.ejmech.2022.114772
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.cc28pjbv
title: CCDC 2106057: Experimental Crystal Structure Determination

description: Related Article: Xiang-Wen Wang, Yu-Qiao Su, Vladislav A. Blatov, Guang-Hua Cui|2023|J.Mol.Struct.|1272|134239|doi:10.1016/j.molstruc.2022.134239
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.cc29020f
title: CCDC 2115223: Experimental Crystal Structure Determination

description: Related Article: Yukiyasu Yoneda, Tadahiro Yahagi, Kenichi Harada, Yasuko Okamoto, Sumiaki Motai, Keiichi Matsuzaki, Miwa Kubo, Yoshiyasu Fukuyama, Ayumi Ohsaki|2022|Phytochemistry|203|113388|doi:10.1016/j.phytochem.2022.113388
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.cc29jw5x
title: CCDC 2131379: Experimental Crystal Structure Determination

description: Related Article: Yunxiao Ma, Mingchang Zhu, Ying Zhang, Yaguang Sun, Shuangyan Wu|2022|J.Solid State Chem.|316|123598|doi:10.1016/j.jssc.2022.123598
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.cc2b6v3j
title: CCDC 2151527: Experimental Crystal Structure Determination

description: Related Article: Shu-Hui Wang, Yu-Qi Wang, Tian Lv, Xiao-Ni Ai, Wai-Gaun Kathy Tse, Hong Liang, Tie-Chui Yang, Qing-Ying Zhang, Peng-Fei Tu|2022|Phytochemistry|204|113437|doi:10.1016/j.phytochem.2022.113437
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.