cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6355691
title: Data Augmentation for learning mechanical digital twins of voids in welding joints

description: In Source-2_Data_Augmentation: Exercice1_augmentation.ipynb Jupyter Notebook for data warpping of defect images. Exercice2_augmentation_multimodale.ipynb Jupyter Notebook for multimodal data augmentaion (defect images and mechanical fields) via oversampling Exercice3_clustering.ipynb Data clustering using the k-medoids algorithm applied to mechanical dissimilarity of the defects. k_medoids.py is a python code of a kmedoids algorithm. in Data: All_images.npy (numpy file) contains the defect images. All_Stresses.npy (numpy) contains mechanical fields, All_Stresses[k,i,j,ic,it] is the instance number k of the component ic of the Cauchy stress tensor at time it. The mechanical problem is decribed in 〈10.5802/crmeca.51〉. 〈hal-03113503〉. New_images_1.npy and New_Stresses_1.npy are augmented data for k=1. New_images_87.npy and New_Stresses_87.npy are augmented data for k=87. Dissimilarity_Stress.npy is the Frobenius norm of the distances between stress tensors (All_Stresses.npy).
DOI: 10.6084/m9.figshare.19361297
title: Supplementary Material for: Early Variation of Respiratory Indexes to Predict Death or ICU Admission in Severe Acute Respiratory Syndrome Coronavirus-2-Related Respiratory Failure

description: <b><i>Background:</i></b> In severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-related respiratory failure, the prognostic value of clinically based or blood-gas-based respiratory indexes is unclear. <b><i>Objectives:</i></b> We aimed to assess the prognostic value of Respiratory Index (RI, oxygen saturation [SpO2]/respiratory rate [RR]), RR-oxygenation index (ROX, SpO2/fraction of inspired oxygen [FiO2]/RR), partial pressure of oxygen (PaO2)/FiO2 ratio (P/F), or standard PaO2/FiO2 ratio (<sub>ST</sub>P/F) at admission and of their variation during hospitalization in SARS-CoV-2-related respiratory failure. <b><i>Methods:</i></b> In 100 consecutive patients hospitalized due to SARS-CoV-2-related respiratory failure, we assessed the association of RI, ROX, P/F and <sub>ST</sub>P/F, and death; secondary outcome was the composite of 7-day death or intensive care unit (ICU) admission. <b><i>Results:</i></b> ROX &lt;3.85 at admission (hazard ratio [HR] 2.95, 95% confidence interval [CI] 1.29–6.77) and decreasing RI or P/F during hospitalization (RI: HR 1.05, 95% CI: 1.00–1.09; P/F: HR 1.01, 95% CI: 1.00–1.02) were predictors of in-hospital death. RI ≤3.8, ROX &lt;3.85, and P/F &lt;100 at admission were predictors for death or ICU admission (RI: HR 3.77, 95% CI: 1.30–10.98; ROX: HR 4.56, 95% CI: 1.90–10.96; P/F: HR 7.37, 95% CI: 1.59–34.2). The decrease of RI (HR 1.14, 95% CI: 1.03–1.25), ROX (HR 1.45, 95% CI: 1.11–1.88), P/F (HR 1.08, 95% CI: 1.01–1.15), or <sub>ST</sub>P/F (HR 1.05, 95% CI: 1.01–1.08) during hospitalization was associated with 7-day death or ICU admission. <b><i>Conclusions:</i></b> In patients with SARS-CoV-2-related respiratory failure, easy-to-calculate clinically based respiratory indexes at admission and their variation during hospital stay can be used to assess and monitor the risk for death or ICU admission.
DOI: 10.6084/m9.figshare.19361297.v1
title: Supplementary Material for: Early Variation of Respiratory Indexes to Predict Death or ICU Admission in Severe Acute Respiratory Syndrome Coronavirus-2-Related Respiratory Failure

description: <b><i>Background:</i></b> In severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-related respiratory failure, the prognostic value of clinically based or blood-gas-based respiratory indexes is unclear. <b><i>Objectives:</i></b> We aimed to assess the prognostic value of Respiratory Index (RI, oxygen saturation [SpO2]/respiratory rate [RR]), RR-oxygenation index (ROX, SpO2/fraction of inspired oxygen [FiO2]/RR), partial pressure of oxygen (PaO2)/FiO2 ratio (P/F), or standard PaO2/FiO2 ratio (<sub>ST</sub>P/F) at admission and of their variation during hospitalization in SARS-CoV-2-related respiratory failure. <b><i>Methods:</i></b> In 100 consecutive patients hospitalized due to SARS-CoV-2-related respiratory failure, we assessed the association of RI, ROX, P/F and <sub>ST</sub>P/F, and death; secondary outcome was the composite of 7-day death or intensive care unit (ICU) admission. <b><i>Results:</i></b> ROX &lt;3.85 at admission (hazard ratio [HR] 2.95, 95% confidence interval [CI] 1.29–6.77) and decreasing RI or P/F during hospitalization (RI: HR 1.05, 95% CI: 1.00–1.09; P/F: HR 1.01, 95% CI: 1.00–1.02) were predictors of in-hospital death. RI ≤3.8, ROX &lt;3.85, and P/F &lt;100 at admission were predictors for death or ICU admission (RI: HR 3.77, 95% CI: 1.30–10.98; ROX: HR 4.56, 95% CI: 1.90–10.96; P/F: HR 7.37, 95% CI: 1.59–34.2). The decrease of RI (HR 1.14, 95% CI: 1.03–1.25), ROX (HR 1.45, 95% CI: 1.11–1.88), P/F (HR 1.08, 95% CI: 1.01–1.15), or <sub>ST</sub>P/F (HR 1.05, 95% CI: 1.01–1.08) during hospitalization was associated with 7-day death or ICU admission. <b><i>Conclusions:</i></b> In patients with SARS-CoV-2-related respiratory failure, easy-to-calculate clinically based respiratory indexes at admission and their variation during hospital stay can be used to assess and monitor the risk for death or ICU admission.
DOI: 10.5281/zenodo.6355715
title: SciExpeM - 10.5281/zenodo.6355715

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6355714
title: SciExpeM - 10.5281/zenodo.6355715

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5519/qd.fc0txx0s
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (75350 records)
DOI: 10.5281/zenodo.6355724
title: SciExpeM - 10.5281/zenodo.6355724

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6355723
title: SciExpeM - 10.5281/zenodo.6355724

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6355473
title: Water table elevation and groundwater temperature from the outwash plain of the Otemma glacier forefield (Switzerland) from 2019 to 2021

description: <strong>Water table elevation and groundwater temperature from the outwash plain of the Otemma glacier forefield (Switzerland) from 2019 to 2021.</strong><br> Data were collected by the research teams of Bettina Schaefli<sup>1,2</sup>, Stuart N. Lane<sup>1</sup>. <sup>1</sup> Institute of Earth Surface Dynamics (IDYST), University of Lausanne, 1015 Lausanne, Switzerland <sup>2</sup> Institute of Geography (GIUB), University of Bern, 3012 Bern, Switzerland For further information, please contact: tom.muller.1@unil.ch <strong>This dataset is first referenced and discussed in the research paper by Müller et al., 2022.</strong> ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ <strong>Data Description</strong> 9 piezometers consisting of fully screened plastic tubes were installed at an averaged depth of 1.5 to 2m in the outwash plain of the Otemma glacier forefield (WGS84 : 45.93434 / 7.41209). They cover four transects perpendicular to the stream from downstream (A) to upstream to (D). Water table elevation and temperature were recorded in each well at a 10 minute interval using SparkFun MS5803-14BA pressure sensors. Sensor resolution is 1 mm and 0.01 °C, sensor accuracy is ± 2 cm and ± 0.8°C. Sensor bias was verified and corrected by bi-monthly manual groundwater stage measurements. Water temperature was not manually corrected and may be subject to some unidentified bias. Piezometer location can be visualized in<strong><em> overview_piezo.jpg</em> </strong> Piezometer coordinates are available in<strong> </strong>shapefile <strong><em>GPS_piezometers.zip</em></strong> (coordinate system: swiss LV95 (EPSG:2056)) Piezometers name matches the labelling used in Müller et al. 2022 (A1,A2 to D1,D2). Two additionnal piezometers (BinjUp & BinjDown) used for a specific salt tracing analysis (see <em>ERT_timelapse_salt_tracer.gif </em>at https://zenodo.org/record/6342767#.YjBRmTXjJlh) are also available. Finally an additional piezometer (B1-2) located between B1 and B2 is also available although it was not used in Müller et al. 2022. <strong>Data Structure</strong> <strong>df_piezometers.csv</strong> is formated as a tidy dataframe with 10 minute interval and following headers :<br> - <em>date </em>: local date (UTC+01 with daylight saving time)<br> - <em>variable </em>: parameter of interest, with following classes :<br> w_elevation: Water table elevation [m. asl]<br> w_temperature : Groundwater temperature [°C]<br> - <em>name </em>: name of piezometer (see coordinates in GPS_piezometers.zip)<br> - <em>dateUTC </em>: date with UTC timezone Data can be quickly vizualized in<strong> plot_piezo.png</strong> or interactively in a browser using <strong>plot_piezo_interactive.html</strong>
DOI: 10.6084/m9.figshare.7546592
title: Supplementary Material for: Nomograms of Fetal Cardiac Dimensions at 18–41 Weeks of Gestation

description: <b><i>Objective:</i></b> There is a need for standardized reference values for cardiac dimensions in prenatal life. The objective of the present study was to construct nomograms for fetal cardiac dimensions using a well-defined echocardiographic methodology in a low-risk population. <b><i>Methods:</i></b> This is a prospective cohort study including 602 low-risk singleton pregnancies undergoing a standardized fetal echocardiography to accurately assess fetal cardiac, ventricular, and atrial dimensions. Parametric regressions were tested to model each measurement against gestational age from 18 to 41 weeks of gestation. <b><i>Results:</i></b> Nomograms were constructed for fetal cardiac dimensions (transverse and longitudinal diameters and areas) of the whole heart, atria, and ventricles, as well as myocardial wall thicknesses. All dimensions showed a progressive increase with gestational age. The best model for most parameters was a second-degree linear polynomial. Fetal cardiac, ventricular, and atrial diameters and areas were successfully obtained in 98.6% of the fetuses, while myocardial wall thicknesses could be obtained in 96.5% of the population. The results showed excellent interobserver and intraobserver reproducibility (intraclass correlation coefficient, ICC &gt; 0.811 and ICC &gt; 0.957, respectively). <b><i>Conclusions:</i></b> We provide standardized and comprehensively evaluated reference values for fetal cardiac morphometric parameters across gestation in a low-risk population. These no mograms would enable the early identification of different patterns of fetal cardiac remodeling.
DOI: 10.6084/m9.figshare.7546592.v10
title: Supplementary Material for: Nomograms of Fetal Cardiac Dimensions at 18–41 Weeks of Gestation

description: <b><i>Objective:</i></b> There is a need for standardized reference values for cardiac dimensions in prenatal life. The objective of the present study was to construct nomograms for fetal cardiac dimensions using a well-defined echocardiographic methodology in a low-risk population. <b><i>Methods:</i></b> This is a prospective cohort study including 602 low-risk singleton pregnancies undergoing a standardized fetal echocardiography to accurately assess fetal cardiac, ventricular, and atrial dimensions. Parametric regressions were tested to model each measurement against gestational age from 18 to 41 weeks of gestation. <b><i>Results:</i></b> Nomograms were constructed for fetal cardiac dimensions (transverse and longitudinal diameters and areas) of the whole heart, atria, and ventricles, as well as myocardial wall thicknesses. All dimensions showed a progressive increase with gestational age. The best model for most parameters was a second-degree linear polynomial. Fetal cardiac, ventricular, and atrial diameters and areas were successfully obtained in 98.6% of the fetuses, while myocardial wall thicknesses could be obtained in 96.5% of the population. The results showed excellent interobserver and intraobserver reproducibility (intraclass correlation coefficient, ICC &gt; 0.811 and ICC &gt; 0.957, respectively). <b><i>Conclusions:</i></b> We provide standardized and comprehensively evaluated reference values for fetal cardiac morphometric parameters across gestation in a low-risk population. These no mograms would enable the early identification of different patterns of fetal cardiac remodeling.
DOI: 10.34740/kaggle/dsv/3287274
title: 126 RNA-Seq datasets of COVID-19
DOI: 10.6084/m9.figshare.19361285.v1
title: Supplemental Material.xlsx

description: All the data and forest plots in this review.
DOI: 10.6084/m9.figshare.19361285
title: Supplemental Material.xlsx

description: All the data and forest plots in this review.
DOI: 10.48370/ofd/je6k0d/n1vyur
title: m-1074.tif

description: :unav
DOI: 10.48370/ofd/je6k0d/at00kq
title: 1074.S3Dm

description: :unav
DOI: 10.48370/ofd/je6k0d/qyrjgg
title: 1074.S3Dm

description: :unav
DOI: 10.48370/ofd/je6k0d
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 1074

description: Grzyby makromycetes
DOI: 10.5286/isis.e.rb14460
title: CERHSN 100MEV 300 S PSI=-38.07 (C PER KI) 28WX25H 45X45MM
DOI: 10.5281/zenodo.6355778
title: SciExpeM - 10.5281/zenodo.6355778

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5286/isis.e.rb14460-1
title: CERHSN 100MEV 300 S PSI=-38.07 (C PER KI) 28WX25H 45X45MM
DOI: 10.5281/zenodo.6355777
title: SciExpeM - 10.5281/zenodo.6355778

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5286/isis.e.rb14460-2
title: WHITE BEAM VAN RT 50x50mm I) 28WX25H 45X45MM
DOI: 10.5286/isis.e.rb14460-3
title: LaRhSn poly 500meV 600s 15K 49x49 49x449mm 49x49mm
DOI: 10.5286/isis.e.rb14460-4
title: Mono_van 500meV 600Hz S RT 50x50 mm 49mm 49x49mm
DOI: 10.5281/zenodo.6356013
title: SciExpeM - 10.5281/zenodo.6356013

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6356012
title: SciExpeM - 10.5281/zenodo.6356013

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6356227
title: SciExpeM - 10.5281/zenodo.6356227

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.5281/zenodo.6356226
title: SciExpeM - 10.5281/zenodo.6356227

description: Togbé, C.; Dagaut, P.; Mzé-Ahmed, A.; DiéVart, P.; Halter, F.; Foucher, F. - Energy & Fuels, 2010, (24), 5859-5875
DOI: 10.25345/c5542jc2q
title: MassIVE MSV000089061 - Tuebingen Forest Soil Meta-Metabolome
title: Non-targeted LC-MS/MS of Soil Meta-Metabolome from the Tuebingen Forest sampled in December 2021
DOI: 10.5281/zenodo.6356317
title: SciExpeM - 10.5281/zenodo.6356317

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.5281/zenodo.6356316
title: SciExpeM - 10.5281/zenodo.6356317

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.34943/cad47ed6-d1d8-49cb-b20b-7c3a3d70226f
title: Strait of Georgia Central Node Deployed 2022-03-10

description: The SoG Central Node Primary Board was deployed on 2022-03-10 at Strait of Georgia Central. Strait of Georgia Central is a central area in the Strait of Georgia. This device is a Node. Nodes are underwater structures that interface between the backbone fibre-optic cable and extension cables to various platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.6356351
title: SciExpeM - 10.5281/zenodo.6356351

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.5281/zenodo.6356350
title: SciExpeM - 10.5281/zenodo.6356351

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.5281/zenodo.6356375
title: SciExpeM - 10.5281/zenodo.6356375

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.5281/zenodo.6356374
title: SciExpeM - 10.5281/zenodo.6356375

description: Pelucchi, M., 0000-0003-3106-0236; Namysl, S.; Ranzi, E., 0000-0002-1395-6074; Rodriguez, A.; Rizzo, C.; Somers, K. P.; Zhang, Y.; Herbinet, O., 0000-0002-2155-098X; Curran, H. J., 0000-0002-5124-8562; Battin-Leclerc, F., 0000-0001-8265-7492; Faravelli, T. - Energy & Fuels, 2020, (34), 14708-14725
DOI: 10.5281/zenodo.6337420
title: TAU Urban Acoustic Scenes 2022 Mobile, Development dataset

description: TAU Urban Acoustic Scenes 2022 Mobile development dataset consists of 1-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em> The dataset contains in total 64 hours of audio.
DOI: 10.5281/zenodo.6355632
title: Waveforms of DNA in HXB

description: Teleseismic waveforms used in the HXB detailed crustal imaging.
DOI: 10.5281/zenodo.6355631
title: Waveforms of DNA in HXB

description: Teleseismic waveforms used in the HXB detailed crustal imaging.
DOI: 10.34943/5bfd647b-31b8-453d-9513-3dcb4c5789aa
title: Fraser River Delta Upper Slope Imaging Rotary Sonar Deployed 2022-03-11

description: The Imagenex 881A Imaging Sonar 5714 was deployed on 2022-03-11 at Fraser River Delta Upper Slope. This site is located on the upper slope of the Fraser River delta, where depth is approximately 100 metres. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.19361270
title: Unusual SARS-CoV-2 intrahost diversity reveals lineage superinfection

description: Supplementary Material for ‘Unusual SARS-CoV-2 intrahost diversity reveals lineage superinfection', as published in Microbial Genomics.
DOI: 10.6084/m9.figshare.19361270.v1
title: Unusual SARS-CoV-2 intrahost diversity reveals lineage superinfection

description: Supplementary Material for ‘Unusual SARS-CoV-2 intrahost diversity reveals lineage superinfection', as published in Microbial Genomics.
DOI: 10.5522/04/14993589
title: Building facade images for window states

description: The data was used for "Impact of Traditional Augmentation Methods on Window States Detection", which is a conference paper of CLIMA2022. The main purpose of this data is for reproductivity of proposed methods. All images are annotated with XML format using LabelImg. Additionally, this dataset may be used for other object detection and segmentation tasks as a possible application.
DOI: 10.5522/04/14993589.v1
title: Building facade images for window states

description: The data was used for "Impact of Traditional Augmentation Methods on Window States Detection", which is a conference paper of CLIMA2022. The main purpose of this data is for reproductivity of proposed methods. All images are annotated with XML format using LabelImg. Additionally, this dataset may be used for other object detection and segmentation tasks as a possible application.
DOI: 10.48370/ofd/ofvlpj/53jmed
title: m-1774.tif

description: :unav
DOI: 10.48370/ofd/ofvlpj/ymqjlw
title: 1774.S3Dm

description: :unav
DOI: 10.48370/ofd/ofvlpj/lokkhx
title: 1774_2.S3Dm

description: :unav
DOI: 10.48370/ofd/ofvlpj
title: Czyreń rdzawy (Fuscoporia ferruginosa (Schrad ex J.F. Gmelin) Murill [syn. Phellinus ferrugineofuscus (P. Karst) Boourdot]), 1774

description: Grzyby makromycetes
DOI: 10.5281/zenodo.6356607
title: Data for: Nawrocka et al., Variable-temperature NMR spectroscopy for metabolite identification in biological materials, RSC Adv., 2021, 11, 35321, DOI: 10.1039/d1ra05626c

description: Raw NMR spectrometer data (Varian/Agilent format) for the paper Nawrocka et al., Variable-temperature NMR spectroscopy for metabolite identification in biological materials, RSC Adv., 2021, 11, 35321, DOI: 10.1039/d1ra05626c Includes variable-temperature series for artificial and natural mixtures of metabolites and spectra of separate metabolites.
description: The authors would like to thank the Foundation for Polish Science for its support via the FIRST TEAM program, co- nanced by the European Union under the European Regional Development Fund No. POIR.04.04.00-00-4343/17-00, and the National Science Centre of Poland for its support in the form of an OPUS grant 2019/35/B/ST4/01506. Kamil Kozin- ´ ski was supported by Polish National Science Centre grant 2015/ 19/B/NZ4/03571.
description: {"references": ["Nawrocka et al., Variable-temperature NMR spectroscopy for metabolite identification in biological materials, RSC Adv., 2021, 11, 35321, DOI: 10.1039/d1ra05626c"]}