cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19096463
title: Supplementary Material for: Non-Invasive Fetal K Status Prediction: 7 Years of Experience

description: <b><i>Introduction:</i></b> In the Kell blood group system, the K and k antigens are the clinically most important ones. Maternal anti-K IgG antibodies can lead to the demise of a K-positive fetus in early pregnancy. Intervention can save the fetus. Prenatal K status prediction of the fetus in early pregnancy is desirable and gives a good basis for pregnancy risk management. We present the results from 7 years of clinical experience in predicting fetal K status as well as some theoretical considerations relevant for design of the assay and evaluation of results. <b><i>Methods:</i></b> Blood was collected from 43 women, all immunized against K, at a mean gestational age of 18 weeks (range 10–38). A total of 56 consecutive samples were tested. The <i>KEL</i>*<i>01.01</i>/<i>KEL</i>*<i>02</i> single nucleotide variant that determines K status was amplified from maternal plasma DNA by PCR without allele specificity. The PCR product was sequenced by NGS technology, and the number of sequenced <i>KEL</i>*<i>01.01</i> and <i>KEL</i>*<i>02</i> reads were counted. Prediction of the fetal K status was based on this count and was compared with the serologically determined K status of the newborns. <b><i>Results:</i></b> All fetal K predictions were in accordance with postnatal serology where available (<i>n</i> = 34), using our current data analysis. <b><i>Conclusion:</i></b> We have developed an NGS-based method for the non-invasive prediction of fetal K status. This approach requires special considerations in terms of primer design, stringent preanalytical sample handling, and careful analytical procedures. We analyzed samples starting at GA 10 weeks and demonstrated the correct prediction of fetal K status. This assay enables timely clinical intervention in pregnancies at risk of hemolytic disease of the fetus and newborn caused by maternal anti-K IgG antibodies.
DOI: 10.48370/ofd/ved1on
title: Bertia moriformis (Tode) De Notaris, 457

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.5925684
title: Effects of Mutuality, Anxiety, and Depression on Quality of Life of Patients With Heart Failure: A Cross-Sectional Study

description: Dellafiore F, Arrigoni C, Palpella F, Diazzi A, Orrico M, Magon A, Pittella F, Caruso R. Effects of Mutuality, Anxiety, and Depression on Quality of Life of Patients With Heart Failure: A Cross-Sectional Study. Creat Nurs. 2021 Aug 1;27(3):181-189. doi: 10.1891/CRNR-D-20-00025. PMID: 34493639. This study aimed to describe the impact of mutuality, anxiety, and depression on quality of life (QoL) in patients with heart failure (HF) using cross-sectional, convenient, and consecutive sampling. A total of 97 patients were recruited. Socio-demographic and clinical variables and self-report measures of anxiety, depression, mutuality, and QoL were collected. The results highlighted the pivotal role of mutuality (specifically the domain of shared values between patients and their caregivers) in determining perceptions of physical health. Conversely, depression was a negative determinant of perceptions of both physical and mental health. Future research is needed to describe in-depth and longitudinally the associations between mutuality and QoL in patients with HF.
DOI: 10.5281/zenodo.5925683
title: Effects of Mutuality, Anxiety, and Depression on Quality of Life of Patients With Heart Failure: A Cross-Sectional Study

description: Dellafiore F, Arrigoni C, Palpella F, Diazzi A, Orrico M, Magon A, Pittella F, Caruso R. Effects of Mutuality, Anxiety, and Depression on Quality of Life of Patients With Heart Failure: A Cross-Sectional Study. Creat Nurs. 2021 Aug 1;27(3):181-189. doi: 10.1891/CRNR-D-20-00025. PMID: 34493639. This study aimed to describe the impact of mutuality, anxiety, and depression on quality of life (QoL) in patients with heart failure (HF) using cross-sectional, convenient, and consecutive sampling. A total of 97 patients were recruited. Socio-demographic and clinical variables and self-report measures of anxiety, depression, mutuality, and QoL were collected. The results highlighted the pivotal role of mutuality (specifically the domain of shared values between patients and their caregivers) in determining perceptions of physical health. Conversely, depression was a negative determinant of perceptions of both physical and mental health. Future research is needed to describe in-depth and longitudinally the associations between mutuality and QoL in patients with HF.
DOI: 10.15129/659ff01d-e5e0-4868-aaf2-1f3d656f5db3
title: Data for: "Non-destructive imaging of residual strains in GaN and their effect on optical and electrical properties using correlative light–electron microscopy"

description: This data set consists of confocal Raman maps, electron channelling contrast imaging micrographs, electron backscatter diffraction patterns and maps, cathodoluminescence hyperspectral images acquired on a GaN thin-film. We used these data sets to demonstrate a non-destructive approach to understanding the growth modes of a GaN thin film and simultaneously quantify its residual strains and their effect on optical and electrical properties using correlative scanning electron microscopy techniques and Raman microscopy. Coincident strain maps derived from electron backscatter diffraction, cathodoluminescence and confocal Raman techniques reveal strain variations with similar magnitude and directions, especially in the proximity of dislocations.
DOI: 10.6084/m9.figshare.13768939
title: PLEXUS@NGIF - Heat Injection: Heat flux

description: This dataset presents the heat flux data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br>v3.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13768939.v2
title: PLEXUS@NGIF - Heat Injection: Heat flux

description: This dataset presents the heat flux data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br>v3.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13768939.v1
title: PLEXUS@NGIF - Heat rejection: Heat flux

description: This dataset presents the heat flux data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.
DOI: 10.6084/m9.figshare.13768768
title: PLEXUS@NGIF - Heat Injection: Soil temperature

description: This dataset presents the soil temperature data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v3.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v3.0 (13.01.2022): </b>Formatting of the title is changed.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13768768.v3
title: PLEXUS@NGIF - Heat Injection: Soil temperature

description: This dataset presents the soil temperature data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v3.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v3.0 (13.01.2022): </b>Formatting of the title is changed.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13768768.v2
title: PLEXUS@NGIF - Heat Injection - Soil temperature

description: This dataset presents the soil temperature data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.48370/ofd/cmxjez
title: Bertia moriformis (Tode) De Notaris, 2946

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.13767142
title: PLEXUS@NGIF - Heat Injection: Thermal conductivity

description: This dataset presents the thermal conductivity data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13767142.v2
title: PLEXUS@NGIF - Heat Injection: Thermal conductivity

description: This dataset presents the thermal conductivity data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13767142.v1
title: PLEXUS@NGIF - Heat rejection - Thermal conductivity

description: This dataset presents the thermal conductivity data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.
DOI: 10.6084/m9.figshare.13766281
title: PLEXUS@NGIF - Heat Injection: Water flux

description: This dataset presents the water flux data at 15-min and daily intervals measured from Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13766281.v2
title: PLEXUS@NGIF - Heat Injection: Water flux

description: This dataset presents the water flux data at 15-min and daily intervals measured from Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13766281.v1
title: PLEXUS@NGIF - Heat rejection: Water flux

description: This dataset presents the water flux data at 15-min and daily intervals measured from Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.
DOI: 10.6084/m9.figshare.13765333
title: PLEXUS@NGIF - Heat Injection: Hydrological measurements

description: This dataset presents the hydrological data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13765333.v2
title: PLEXUS@NGIF - Heat Injection: Hydrological measurements

description: This dataset presents the hydrological data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><b>Version history</b><b><br></b><b>v2.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".
DOI: 10.6084/m9.figshare.13765333.v1
title: PLEXUS@NGIF - Heat rejection: Hydrological measurements

description: This dataset presents the hydrological data at 15-min and daily intervals measured in Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.
DOI: 10.6084/m9.figshare.13761727
title: PLEXUS@NGIF - Heat Injection: Meteorological measurements

description: This dataset presents the meteorological data at daily intervals measured above Lysimeter 10 at the National Green Infrastructure Facility between 18.07.2019 and 12.09.2019.<br><br><b>Version history</b><b><br></b><b>v3.0 (31.01.2022): </b>Reference to the published article is added.<b><br></b><b>v3.0 (13.01.2022): </b>The term "heat rejection" file name is changed to "heat injection".<b>v2.0 (13.01.2022): </b>The term "heat rejection" in the title is changed to "heat injection".<br>
DOI: 10.48370/ofd/nnhcj6
title: Bertia moriformis (Tode) De Notaris, 2953

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19096506.v1
title: Preparation of enantiopure pregabalin intermediate using cross linked enzyme aggregates (CLEAs) in basket reactor

description: Route to the synthesis of enantiomerically pure ethyl (<i>S</i>)-3-cyano-5-methylhexanoate, (<i>S</i>)-<b>5</b>, a key chiral intermediate for Pregabalin has been improved. The racemic β-cyano diester, <b>3</b> was prepared in 98% purity via gelatine catalysed Knoevenagel condensation of diethylmalonate with isovaleraldehyde followed by hydrocyantion of α,β-unsaturated diester <b>14</b> using acetone cyanohydrin and K<sub>2</sub>CO<sub>3</sub>. Racemic diethyl 2-(1-cyano-3-methylbutyl)malonate, <i>rac</i>-<b>3</b>, has been resolved using lipase from <i>Thermomyces lanuginosus</i> immobilised in form of crosslinked enzyme aggregates, CLEAs. The CLEAs were made by employing commercial soymilk as an additional protein source and a reaction was carried out in a moving basket reactor. The immobilised enzyme was found to be stable in many organic solvents and temperature up to 50 °C. The resolution reaction was studied in a basket reactor at 50% substrate loading in calcium acetate buffer, pH 7.5 at 30 °C by using 20% w/w enzyme loading. The apparent kinetic parameters were V<i><sub>max,app</sub></i> = (8.74 ± 0.43) mM/h/g and K<i><sub>m,app</sub></i> = (1.5 ± 0.07) M (correlation coeff. <i>r</i> = 0.98). The desired ethyl (<i>S</i>)-3-cyano-5-methylhexanoate, (<i>S</i>)-<b>5</b> is obtained in 90-92% theoretical yield and <i>e.e</i> &gt; 99%. The advantages of this improved process are mild reaction conditions; an alternate method for hydrocyanation step avoiding the use of highly toxic potassium cyanide at large scale operation and an immobilised enzyme that can be reused for at least 11 recycles.
DOI: 10.6084/m9.figshare.19096100
title: Circadian rhythm and time-of-day-effects of (anti)oxidant biomarkers for epidemiological studies

description: Various biomarkers of oxidative stress and redox status have been used in a number of clinical and epidemiological studies related to diseases and conditions that involve disturbances of the redox balance. However, a comprehensive study of diurnal variations of a set of biomarkers has not been conducted so far. Therefore, the aim of this study is to investigate circadian rhythm and time-of-day-effects of a set of frequently used biomarkers of oxidative stress, redox and antioxidant status in serum/plasma. These biomarkers include Reactive Oxygen Metabolites (ROM), Biological Antioxidant Potency (BAP), Total Thiols in Proteins (TTP), high-sensitive C-Reactive Protein (CRP) and Uric Acid (UA). During a 24-hr study, blood sampling was conducted 6 times at 4-hr intervals. The presence of circadian rhythm was analyzed with CircWave analysis, whereas the effect of time was analyzed with Repeated Measures ANOVA (RM-ANOVA). Thereby, the main focus was on the time points in working hours (8, 12 and 16 hr), which are used frequently in practice. Of all investigated biomarkers, only TTP in males demonstrated statistically significant circadian rhythm (<i>p</i> = 0.040). A statistically significant effect between all six time points with RM-ANOVA was observed for ROM, TTP and UA in both genders, and for BAP in females only. No statistically significant differences were observed between the time points 8 hr and 12 hr for any of the biomarkers that were assessed in our study. In conclusion, diurnal variations in some of the studied biomarkers that we demonstrate here should be taken into account when designing and conducting clinical and epidemiological studies. It is advised to standardize the time of sampling with a preference in the morning hours.
DOI: 10.6084/m9.figshare.19096100.v1
title: Circadian rhythm and time-of-day-effects of (anti)oxidant biomarkers for epidemiological studies

description: Various biomarkers of oxidative stress and redox status have been used in a number of clinical and epidemiological studies related to diseases and conditions that involve disturbances of the redox balance. However, a comprehensive study of diurnal variations of a set of biomarkers has not been conducted so far. Therefore, the aim of this study is to investigate circadian rhythm and time-of-day-effects of a set of frequently used biomarkers of oxidative stress, redox and antioxidant status in serum/plasma. These biomarkers include Reactive Oxygen Metabolites (ROM), Biological Antioxidant Potency (BAP), Total Thiols in Proteins (TTP), high-sensitive C-Reactive Protein (CRP) and Uric Acid (UA). During a 24-hr study, blood sampling was conducted 6 times at 4-hr intervals. The presence of circadian rhythm was analyzed with CircWave analysis, whereas the effect of time was analyzed with Repeated Measures ANOVA (RM-ANOVA). Thereby, the main focus was on the time points in working hours (8, 12 and 16 hr), which are used frequently in practice. Of all investigated biomarkers, only TTP in males demonstrated statistically significant circadian rhythm (<i>p</i> = 0.040). A statistically significant effect between all six time points with RM-ANOVA was observed for ROM, TTP and UA in both genders, and for BAP in females only. No statistically significant differences were observed between the time points 8 hr and 12 hr for any of the biomarkers that were assessed in our study. In conclusion, diurnal variations in some of the studied biomarkers that we demonstrate here should be taken into account when designing and conducting clinical and epidemiological studies. It is advised to standardize the time of sampling with a preference in the morning hours.
DOI: 10.6084/m9.figshare.19096506
title: Preparation of enantiopure pregabalin intermediate using cross linked enzyme aggregates (CLEAs) in basket reactor

description: Route to the synthesis of enantiomerically pure ethyl (<i>S</i>)-3-cyano-5-methylhexanoate, (<i>S</i>)-<b>5</b>, a key chiral intermediate for Pregabalin has been improved. The racemic β-cyano diester, <b>3</b> was prepared in 98% purity via gelatine catalysed Knoevenagel condensation of diethylmalonate with isovaleraldehyde followed by hydrocyantion of α,β-unsaturated diester <b>14</b> using acetone cyanohydrin and K<sub>2</sub>CO<sub>3</sub>. Racemic diethyl 2-(1-cyano-3-methylbutyl)malonate, <i>rac</i>-<b>3</b>, has been resolved using lipase from <i>Thermomyces lanuginosus</i> immobilised in form of crosslinked enzyme aggregates, CLEAs. The CLEAs were made by employing commercial soymilk as an additional protein source and a reaction was carried out in a moving basket reactor. The immobilised enzyme was found to be stable in many organic solvents and temperature up to 50 °C. The resolution reaction was studied in a basket reactor at 50% substrate loading in calcium acetate buffer, pH 7.5 at 30 °C by using 20% w/w enzyme loading. The apparent kinetic parameters were V<i><sub>max,app</sub></i> = (8.74 ± 0.43) mM/h/g and K<i><sub>m,app</sub></i> = (1.5 ± 0.07) M (correlation coeff. <i>r</i> = 0.98). The desired ethyl (<i>S</i>)-3-cyano-5-methylhexanoate, (<i>S</i>)-<b>5</b> is obtained in 90-92% theoretical yield and <i>e.e</i> &gt; 99%. The advantages of this improved process are mild reaction conditions; an alternate method for hydrocyanation step avoiding the use of highly toxic potassium cyanide at large scale operation and an immobilised enzyme that can be reused for at least 11 recycles.
DOI: 10.48370/ofd/8atx42
title: Bertia moriformis (Tode) De Notaris, 2979

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.5929553
title: 20210927-DOTG: Knowledge is transmitted between agents and across generations with different parent Selection methods

description: This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.<br><br>Experiment Label: 20210927-DOTG<br><br>Experiment design: Knowledge is transmitted between agents and across generations with different parent Selection methods<br><br>Experiment setting: Agents start with random ontologies which are used to interact with the environment and other agents; agents adapt their knowledge to interaction failures (intra-generation knowledge transmission); agents provide training samples to their children to learn ontologies (inter-generation knowledge transmission)<br><br>Hypotheses: Intra-generation transmission can compensate to the absence of parent selection<br><br>Detailed information can be found in index.html or notebook.ipynb.<br><br>[1] https://sake.re/20210927-DOTG<br>[2] https://gitlab.inria.fr/moex/lazylav/<br><br>
DOI: 10.5281/zenodo.5929552
title: 20210927-DOTG: Knowledge is transmitted between agents and across generations with different parent Selection methods

description: This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.<br><br>Experiment Label: 20210927-DOTG<br><br>Experiment design: Knowledge is transmitted between agents and across generations with different parent Selection methods<br><br>Experiment setting: Agents start with random ontologies which are used to interact with the environment and other agents; agents adapt their knowledge to interaction failures (intra-generation knowledge transmission); agents provide training samples to their children to learn ontologies (inter-generation knowledge transmission)<br><br>Hypotheses: Intra-generation transmission can compensate to the absence of parent selection<br><br>Detailed information can be found in index.html or notebook.ipynb.<br><br>[1] https://sake.re/20210927-DOTG<br>[2] https://gitlab.inria.fr/moex/lazylav/<br><br>
DOI: 10.5523/bris.1ctw36cjsr16e279g3qlwy792l
title: Data for DLZ ratchet paper - ICRA-RAL 2022

description: Included here are data to support the paper: M. Garrad, M. Naghavi Zadeh, C. Romero, F. Scarpa, A.Conn, and J. Rossiter, Design and Characterisation of a Muscle-mimetic Dielectrophoretic Ratcheting Actuator IEEE Robotics and Automation Letters (2022).
DOI: 10.5281/zenodo.5920563
title: Simulated data for a practice of gamete binning (not used)

description: Not used anymore.
DOI: 10.48370/ofd/besqew
title: Bertia moriformis (Tode) De Notaris, 3412

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.5930303
title: 20210601-DOTG: Knowledge is transmitted between agents and across generations

description: This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.<br><br>Experiment Label: 20210601-DOTG<br><br>Experiment design: Knowledge is transmitted between agents and across generations<br><br>Experiment setting: Agents start with random ontologies; agents adapt their knowledge to interaction failures with other agents (intra-generation knowledge transmission); agents provide training samples to their children to learn ontologies and interact with them (inter-generation knowledge transmission)<br><br>Hypotheses: Adding inter-generation transmission leads to higher accuracy than intra-generation transmission alone<br><br>Detailed information can be found in index.html or notebook.ipynb.<br><br>[1] https://sake.re/20210601-DOTG<br>[2] https://gitlab.inria.fr/moex/lazylav/<br><br>