cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4399367
title: Datasets for assessment of damage in flat panel and final demonstrator with UoI's sensor and PPI-LT approach

description: Datasets acquired during experimental assessment of damage in the composite flat panel and final demonstrator by the team of the University of Ioannina, in the context of project CompInnova: An Advanced Methodology for the Inspection and Quantification of Damage on Aerospace Composites and Metals using an Innovative Approach (H2020 FETOPEN, Grant Agreement No. 665238). The PPI-LT approach and dedicated IRT sensor developed within CompInnova were used for recording the data. Data are thermograms in image format (jpg, png).<br> <br> The data were used in deliverables D7.2 & D.7.3.
DOI: 10.5281/zenodo.4399366
title: Datasets for assessment of damage in flat panel and final demonstrator with UoI's sensor and PPI-LT approach

description: Datasets acquired during experimental assessment of damage in the composite flat panel and final demonstrator by the team of the University of Ioannina, in the context of project CompInnova: An Advanced Methodology for the Inspection and Quantification of Damage on Aerospace Composites and Metals using an Innovative Approach (H2020 FETOPEN, Grant Agreement No. 665238). The PPI-LT approach and dedicated IRT sensor developed within CompInnova were used for recording the data. Data are thermograms in image format (jpg, png).<br> <br> The data were used in deliverables D7.2 & D.7.3.
DOI: 10.5281/zenodo.4399643
title: Data set 1 discourse analysis BRAD research project

description: Discourse analysis data set with excerpts of press articles generated in the coding (coded with keywords ‘Brexit’ and ‘deportations’). This data set connects to the WP3 of the BRAD research project.
description: The data set consists of metadata - codes/nodes and coded excerpts from Daily Mail and The Daily Telegraph. I selected articles that concern EU citizens and the subject of deportation in DM and DT. The texts contained, on the one hand, a keyword that referred to the EU citizens ('EU migrants', 'EU workers', 'EU citizens', 'EU nationals') and, on the other, a keyword referring to deportation ('deportation', 'expulsion', 'kick out', 'send home', 'go home', 'repatriate'). This combination of search terms allowed for closer examination of the linguistic associations between EU citizens and forced expulsions. I used the ProQuest database to search the articles. The analysis covers almost four years, spanning from the announcement of the Referendum (20 February 2016) and the 31 January 2020 when Brexit happened after two extensions. As a result of the keyword-driven selection process, I obtained 141 DT articles, and 140 DM articles.
DOI: 10.5281/zenodo.4399642
title: Data set 1 discourse analysis BRAD research project

description: Discourse analysis data set with excerpts of press articles generated in the coding (coded with keywords ‘Brexit’ and ‘deportations’). This data set connects to the WP3 of the BRAD research project.
description: The data set consists of metadata - codes/nodes and coded excerpts from Daily Mail and The Daily Telegraph. I selected articles that concern EU citizens and the subject of deportation in DM and DT. The texts contained, on the one hand, a keyword that referred to the EU citizens ('EU migrants', 'EU workers', 'EU citizens', 'EU nationals') and, on the other, a keyword referring to deportation ('deportation', 'expulsion', 'kick out', 'send home', 'go home', 'repatriate'). This combination of search terms allowed for closer examination of the linguistic associations between EU citizens and forced expulsions. I used the ProQuest database to search the articles. The analysis covers almost four years, spanning from the announcement of the Referendum (20 February 2016) and the 31 January 2020 when Brexit happened after two extensions. As a result of the keyword-driven selection process, I obtained 141 DT articles, and 140 DM articles.
DOI: 10.6084/m9.figshare.8218193.v1
title: Determination of natural radionuclides and some metal concentrations in human tooth samples in the Rize province, Turkey

description: The main purpose of this study was to identify the concentrations of naturally occurring radionuclides (<sup>226</sup>Ra, <sup>232</sup>Th and <sup>40</sup>K) and some metals (Fe, Ni, Cu, Zn, Pb and Cd) in tooth samples collected from humans living in the Rize province of Turkey. It was found that the activity concentrations ranged from 8.1 to 114.51 Bq kg<sup>−1</sup> for <sup>226</sup>Ra, from 10.44 to 97.3 Bq kg<sup>−1</sup> for <sup>232</sup>Th and from 14.53 to 489.27 Bq kg<sup>−1</sup> for <sup>40</sup>K. The mean activity concentration values of <sup>226</sup>Ra and <sup>232</sup>Th in tooth samples were higher than the average world values for bones. Furthermore, when the metal concentrations were examined, there was no regular increase or decrease according to age or sex. The results of the metal analysis on the tooth samples were compared with the results of similar studies and were generally found to be consistent.
DOI: 10.6084/m9.figshare.8218193
title: Determination of natural radionuclides and some metal concentrations in human tooth samples in the Rize province, Turkey

description: The main purpose of this study was to identify the concentrations of naturally occurring radionuclides (<sup>226</sup>Ra, <sup>232</sup>Th and <sup>40</sup>K) and some metals (Fe, Ni, Cu, Zn, Pb and Cd) in tooth samples collected from humans living in the Rize province of Turkey. It was found that the activity concentrations ranged from 8.1 to 114.51 Bq kg<sup>−1</sup> for <sup>226</sup>Ra, from 10.44 to 97.3 Bq kg<sup>−1</sup> for <sup>232</sup>Th and from 14.53 to 489.27 Bq kg<sup>−1</sup> for <sup>40</sup>K. The mean activity concentration values of <sup>226</sup>Ra and <sup>232</sup>Th in tooth samples were higher than the average world values for bones. Furthermore, when the metal concentrations were examined, there was no regular increase or decrease according to age or sex. The results of the metal analysis on the tooth samples were compared with the results of similar studies and were generally found to be consistent.
DOI: 10.17632/3sp8gkk4b4.1
title: CAOR_105173

description: Problem Instance Data Set
DOI: 10.6084/m9.figshare.13499412
title: angling experiment of red seabream.xlsx

description: This is a dataset of experiment which red sea bream could learn to avoid angling gear. It is provided to support submitting an article for Journal of Experimental Biology.
DOI: 10.6084/m9.figshare.13499412.v1
title: angling experiment of red seabream.xlsx

description: This is a dataset of experiment which red sea bream could learn to avoid angling gear. It is provided to support submitting an article for Journal of Experimental Biology.
DOI: 10.6084/m9.figshare.13499457
title: Supplementary Material for: Diagnostic Yield and Safety of Image-Guided Pleural Biopsy: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Diagnostic yield (DY) and safety of computed tomography (CT)- and thoracic ultrasound (TUS)-guided biopsies in the diagnosis of pleural lesions have been investigated in a number of studies, but no synthesis of data from the literature has ever been performed. <b><i>Objectives:</i></b> We aimed to provide the first systematic review and meta-analysis on the DY and safety of CT- versus TUS-guided biopsy in the diagnosis of pleural lesions. <b><i>Method:</i></b> We searched MEDLINE and EMBASE for all studies reporting outcomes of interest published up to April 2018. Two authors reviewed all titles/abstracts and retrieved selected full text to identify studies according to predefined selection criteria. Summary estimates were derived using the random-effects model. Cumulative meta-analysis assessed the influence of increasing adoption of the procedures over time. <b><i>Results:</i></b> Thirty original studies were included in the present review; the number of studies on TUS-guided biopsy was almost three-fold higher than those on CT-guided biopsy. The pooled DYs of the 2 procedures were overall excellent and differed &lt;10%, being 84% for TUS-guided biopsy and 93% for CT-guided biopsy. Safety profiles were reassuring for both the techniques, being 7 and 3% for CT- and TUS-guided biopsy, respectively. DY of ultrasound technique significantly improved over time, while no time effect was observed for CT-guided biopsy. <b><i>Conclusions:</i></b> Data show that CT- and TUS-guided biopsies in the diagnosis of pleural lesions are both excellent procedures, without meaningful differences in DYs and safety. Considering that TUS is non-ionizing and easily performed at the bedside, it should be the preferred approach in presence of adequate skills.
DOI: 10.6084/m9.figshare.13499457.v1
title: Supplementary Material for: Diagnostic Yield and Safety of Image-Guided Pleural Biopsy: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Diagnostic yield (DY) and safety of computed tomography (CT)- and thoracic ultrasound (TUS)-guided biopsies in the diagnosis of pleural lesions have been investigated in a number of studies, but no synthesis of data from the literature has ever been performed. <b><i>Objectives:</i></b> We aimed to provide the first systematic review and meta-analysis on the DY and safety of CT- versus TUS-guided biopsy in the diagnosis of pleural lesions. <b><i>Method:</i></b> We searched MEDLINE and EMBASE for all studies reporting outcomes of interest published up to April 2018. Two authors reviewed all titles/abstracts and retrieved selected full text to identify studies according to predefined selection criteria. Summary estimates were derived using the random-effects model. Cumulative meta-analysis assessed the influence of increasing adoption of the procedures over time. <b><i>Results:</i></b> Thirty original studies were included in the present review; the number of studies on TUS-guided biopsy was almost three-fold higher than those on CT-guided biopsy. The pooled DYs of the 2 procedures were overall excellent and differed &lt;10%, being 84% for TUS-guided biopsy and 93% for CT-guided biopsy. Safety profiles were reassuring for both the techniques, being 7 and 3% for CT- and TUS-guided biopsy, respectively. DY of ultrasound technique significantly improved over time, while no time effect was observed for CT-guided biopsy. <b><i>Conclusions:</i></b> Data show that CT- and TUS-guided biopsies in the diagnosis of pleural lesions are both excellent procedures, without meaningful differences in DYs and safety. Considering that TUS is non-ionizing and easily performed at the bedside, it should be the preferred approach in presence of adequate skills.
DOI: 10.6084/m9.figshare.13340801
title: Graphs source data.xlsx

description: "Glycolipid-Dependent and Lectin-Driven Transcytosis in Mouse Enterocytes" manuscript
DOI: 10.6084/m9.figshare.13340801.v1
title: Graphs source data.xlsx

description: "Glycolipid-Dependent and Lectin-Driven Transcytosis in Mouse Enterocytes" manuscript
DOI: 10.25345/c5kj6k
title: MassIVE MSV000086647 - Lipidomic analysis of extracellular vesicles from a mouse model of metachromatic leukodystrophy
title: extracellular vesicles from a mouse model of metachromatic leukodystrophy
DOI: 10.6084/m9.figshare.13487637
title: Fertile Crescent crop progenitors gained a competitive advantage from large seedlings

description: Datasets used for the article 'Fertile Crescent crop progenitors gained a competitive advantage from large seedlings'. <br>1. Comp exp individuals - longlist.csv Trait data per individual, for analysis of seed germination success, time to germination and seedling survival from the competition experiment.<br>2. Comp exp summary - longlist.csvTrait data per pot, for analysis of seedling mass from the competition experiment.<br>3. RGR complete data - longlist.csvTrait data from the growth experiment, including for calculating individual seed mass, and can be used to calculate growth rates.<br>4.Growth rate species summary.csvMean per species of sRGR, AGR and RGR. <br>5. Growth exp summary data.csvTrait data per species from the growth experiment, including mass and area (enabling root:shoot ratio, SLA and NAR to be calculated). <br><br><br><br>
DOI: 10.6084/m9.figshare.13487637.v2
title: Fertile Crescent crop progenitors gained a competitive advantage from large seedlings

description: Datasets used for the article 'Fertile Crescent crop progenitors gained a competitive advantage from large seedlings'. <br>1. Comp exp individuals - longlist.csv Trait data per individual, for analysis of seed germination success, time to germination and seedling survival from the competition experiment.<br>2. Comp exp summary - longlist.csvTrait data per pot, for analysis of seedling mass from the competition experiment.<br>3. RGR complete data - longlist.csvTrait data from the growth experiment, including for calculating individual seed mass, and can be used to calculate growth rates.<br>4.Growth rate species summary.csvMean per species of sRGR, AGR and RGR. <br>5. Growth exp summary data.csvTrait data per species from the growth experiment, including mass and area (enabling root:shoot ratio, SLA and NAR to be calculated). <br><br><br><br>
DOI: 10.6084/m9.figshare.13487637.v1
title: Fertile Crescent crop progenitors gained a competitive advantage from large seedlings

description: Datasets used for the article 'Fertile Crescent crop progenitors gained a competitive advantage from large seedlings'.
DOI: 10.5281/zenodo.4399676
title: Putative mobilized colistin resistance (mcr) genes co-occurring with other antibiotic resistance genes are widespread in the human gut microbiome

description: <strong>The dataset from the article </strong><strong>Putative mobilized colistin resistance (mcr) genes co-occurring with other antibiotic resistance genes are widespread in the human gut microbiome</strong>
DOI: 10.5281/zenodo.4399675
title: Putative mobilized colistin resistance (mcr) genes co-occurring with other antibiotic resistance genes are widespread in the human gut microbiome

description: <strong>The dataset from the article </strong><strong>Putative mobilized colistin resistance (mcr) genes co-occurring with other antibiotic resistance genes are widespread in the human gut microbiome</strong>
DOI: 10.25387/g3.13378799
title: Supplemental Material for Gonçalves et al., 2021

description: Contains Table S1-S3 and Figure S1-S2 (.pdf) and Table S4 (.csv)
DOI: 10.25387/g3.13378799.v1
title: Supplemental Material for Gonçalves et al., 2021

description: Contains Table S1-S3 and Figure S1-S2 (.pdf) and Table S4 (.csv)
DOI: 10.6084/m9.figshare.13040474.v1
title: Code Review Histories of Gerrit (QT, Eclipse, Wireshark, LibreOffice) and GitHub (GitHub Desktop, VSCode, TensorFlow, Django) Projects

description: <i><b>Code Review Histories of Gerrit (QT, Eclipse, Wireshark, LibreOffice) and GitHub (GitHub Desktop, VSCode, TensorFlow, Django) Projects.</b></i><i><b><br></b></i><i><b>The data is fetched by using the tool: Perceval (https://github.com/chaoss/grimoirelab-perceval).<br></b></i><b><br></b>
DOI: 10.6084/m9.figshare.13501521
title: Data - Field Experiment - Year 2

description: Dataset recording plant lifetime fitness data in year 2 of the field experiment.
DOI: 10.6084/m9.figshare.13501539.v1
title: Microbial Community Data (from amplicon sequencing)

description: Datasets for analyzing microbial community composition. Includes amplicon sequence variants files, taxonomic classifications, and metadata for ITS and 16S sequencing products.
DOI: 10.6084/m9.figshare.13501530.v1
title: ReadMe

description: ReadMe describing variable names used in the datasets.
DOI: 10.6084/m9.figshare.13501527
title: Data - Glasshouse

description: Dataset recording C. x. xantiana plant growth with various inoculum treatments in the glasshouse.
DOI: 10.6084/m9.figshare.13501530
title: ReadMe

description: ReadMe describing variable names used in the datasets.
DOI: 10.6084/m9.figshare.13501527.v1
title: Data - Glasshouse

description: Dataset recording C. x. xantiana plant growth with various inoculum treatments in the glasshouse.
DOI: 10.6084/m9.figshare.13501521.v1
title: Data - Field Experiment - Year 2

description: Dataset recording plant lifetime fitness data in year 2 of the field experiment.
DOI: 10.6084/m9.figshare.13501539
title: Microbial Community Data (from amplicon sequencing)

description: Datasets for analyzing microbial community composition. Includes amplicon sequence variants files, taxonomic classifications, and metadata for ITS and 16S sequencing products.
DOI: 10.5281/zenodo.4399186
title: Hyperspectral images of the beehive panel from Slovenia

description: Four hyperspectral imaging cameras were used for scanning cultural heritage objects provided by the Slovenian Ethnographic Museum. The objects were beehive panels from the museum collection. HIS cameras used were: FX10, FX17, SWIR, MWIR, all produced by SPECIM. Hyperspectral image files include the standard output generated when acquiring hyperspectral images with the Lumo software tool (SPECIM), including white and dark references. These files can be open in diverse other tools, including Matlab.
DOI: 10.5281/zenodo.4399185
title: Hyperspectral images of the beehive panel from Slovenia

description: Four hyperspectral imaging cameras were used for scanning cultural heritage objects provided by the Slovenian Ethnographic Museum. The objects were beehive panels from the museum collection. HIS cameras used were: FX10, FX17, SWIR, MWIR, all produced by SPECIM. Hyperspectral image files include the standard output generated when acquiring hyperspectral images with the Lumo software tool (SPECIM), including white and dark references. These files can be open in diverse other tools, including Matlab.
DOI: 10.6084/m9.figshare.4620802.v2
title: Experiment 1: RData

description: Gender Attraction<br>
DOI: 10.6084/m9.figshare.4620874.v2
title: Experiment 2AB: RData

description: Gender Attraction and Markedness
DOI: 10.6084/m9.figshare.4620802.v3
title: Experiment 1: RData

description: Gender Attraction<br>
DOI: 10.6084/m9.figshare.4620877.v2
title: Experiment 3: RData

description: Number Attraction and Broken Plurals
DOI: 10.5281/zenodo.4397933
title: Results for 1,403 UK Biobank phecodes

description: Results for 1,403 UK Biobank phecodes. We applied the gene-based tests (Gene1D, Gene3D, GeneScan1D and GeneScan3D) to 1,403 UK Biobank Phecode binary phenotypes using summary statistics on 28 million imputed variants, and report results in the zipped folder. A summary table of the significant genes for 1,403 UK Biobank phenotypes is also available. These results can be employed in conjunction with TWAS results to prioritize genes at GWAS loci of interest. Reference: Shiyang Ma, James Dalgleish, Justin Lee, Chen Wang, Richard Gill, Edwin K. Silverman, Michael H. Cho, Zihuai He, Iuliana Ionita-Laza, "A unified knockoff framework for gene-based testing with joint analysis of coding and regulatory variation",(2020+)
DOI: 10.6084/m9.figshare.4620883.v2
title: Experiment 4AB: RData

description: Number Attraction; Sound Plurals, Markedness
DOI: 10.6084/m9.figshare.4620886.v1
title: Experiment 5AB: RData

description: Number and Gender Attraction
DOI: 10.5281/zenodo.4399780
title: GPW+BEST

description: Remix of GPW and BEST earth-sciences datasets, in compressed HDF5 format. Comes with Python + H5Py + Numpy + Scipy source code for construction. temperature_data.csv and temperature_data_missing.csv are suitable for concatenation, except that _missing lacks a holiday field.
DOI: 10.18716/nmrshiftdb2/10008655
title: NMR data for 2-ETHYL-PIPERIDINE
DOI: 10.18716/nmrshiftdb2/10008656
title: NMR data for 1-methylpiperidin-4-one
DOI: 10.18716/nmrshiftdb2/10008657
title: NMR data for 2-AMINO-3-METHYL-PYRIDINE
DOI: 10.18716/nmrshiftdb2/10008658
title: NMR data for FURFURAL
DOI: 10.18716/nmrshiftdb2/10008660
title: NMR data for BUTANAL,2-OXO,DIMETHYL ACETAL
DOI: 10.18716/nmrshiftdb2/10008663
title: NMR data for 1-(4-Hydroxy-phenyl)-ethanone
DOI: 10.18716/nmrshiftdb2/10008666
title: NMR data for 1-OCTANOL
DOI: 10.18716/nmrshiftdb2/10008667
title: NMR data for 3-METHYL-BUTAN-(1)-OL
DOI: 10.18716/nmrshiftdb2/10008670
title: NMR data for ETHANOL,2-DIETHYLAMINO
DOI: 10.18716/nmrshiftdb2/10008673
title: NMR data for PROPANE,1-AMINO,3-DIETHYLAMINO
DOI: 10.18716/nmrshiftdb2/10008674
title: NMR data for 2-methoxyethanol
DOI: 10.18716/nmrshiftdb2/10008678
title: NMR data for 2-METHYL-PROPANAL; 2-methylpropionaldehyde; ISO-BUTYRALDEHYDE
DOI: 10.18716/nmrshiftdb2/10008679
title: NMR data for DIPROPYL-AMINE
DOI: 10.18716/nmrshiftdb2/10008680
title: NMR data for DIBUTYL-AMINE
DOI: 10.18716/nmrshiftdb2/10008682
title: NMR data for 2-HYDROXY-PROPANOIC ACID METHYL ESTER (LACTIC ACID METHYLESTER)
DOI: 10.18716/nmrshiftdb2/10008683
title: NMR data for 4-IODO-TOLUENE
DOI: 10.18716/nmrshiftdb2/10008684
title: NMR data for N,N-DIMETHYL-ANILINE
DOI: 10.18716/nmrshiftdb2/10008685
title: NMR data for BENZYL-ETHYL-AMINE
DOI: 10.18716/nmrshiftdb2/10008691
title: NMR data for CARBAZOLE,1,2,3,4-TETRAHYDRO
DOI: 10.18716/nmrshiftdb2/10008695
title: NMR data for PROPENOIC ACID,ETHYL ESTER (ETHYLACRYLATE)
DOI: 10.18716/nmrshiftdb2/10008696
title: NMR data for ETHANEDIOIC ACID,DIETHYL ESTER (DIETHYLOXALATE)
DOI: 10.18716/nmrshiftdb2/10008692
title: NMR data for 1,3,5-BENZENETRICARBOXYLIC ACID
DOI: 10.18716/nmrshiftdb2/10008697
title: NMR data for PROPANEDIOIC ACID,DIETHYL ESTER (MALONIC ACID,DIETHYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008698
title: NMR data for PROPANEDIOIC ACID,DIMETHYL ESTER (MALONIC ACID,DIMETHYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008702
title: NMR data for 3,3-PENTANEDICARBOXYLIC ACID,DIETHYL ESTER (DIETHYL MALONATE,DIETHYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008703
title: NMR data for BENZENE,(BETA-ISOPROPYL,BROMO)
DOI: 10.18716/nmrshiftdb2/10008708
title: NMR data for 1,1-PROPANEDICARBOXYLIC ACID,DIETHYL ESTER (MALONIC ACID,ETHYL,DIETHYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008709
title: NMR data for 3,3-HEPTANEDIOIC ACID,6-METHYL,DIETHYLESTER (ISOAMYLETHYLMALONATE DIETHYLESTER)
DOI: 10.18716/nmrshiftdb2/10008711
title: NMR data for 3-FLUORO-PHENOL
DOI: 10.18716/nmrshiftdb2/10008712
title: NMR data for NICOTINE (L) (PYRROLIDINE,N-METHYL,ALPHA-(D-BETA-PYRIDYL))
DOI: 10.18716/nmrshiftdb2/10008715
title: NMR data for TETRADECANOIC ACID,ISOPROPYL ESTER (MYRISTATE,ISOPROPYL ESTER)
DOI: 10.18716/nmrshiftdb2/10008720
title: NMR data for (Z)-octadec-9-enoic acid; 9-OCTADECENOIC ACID (CIS)
DOI: 10.18716/nmrshiftdb2/10008722
title: NMR data for CARVONE-RIGHT (D)
DOI: 10.18716/nmrshiftdb2/10008725
title: NMR data for ACETOPHENONE; METHYL PHENYL KETONE
DOI: 10.18716/nmrshiftdb2/10008730
title: NMR data for 2-METHYL-UNDECANAL
DOI: 10.18716/nmrshiftdb2/10008661
title: NMR data for 3-METHOXY-PHENOL
DOI: 10.18716/nmrshiftdb2/10008689
title: NMR data for 1,4-BENZENEDICARBOXYLIC ACID DIMETHYL ESTER (TEREPHTHALATEDIMETHYLESTER)
DOI: 10.18716/nmrshiftdb2/10008687
title: NMR data for 1,4-BUTANEDIOIC ACID,2,3-DIHYDROXY (TARTARIC ACID)
DOI: 10.18716/nmrshiftdb2/10008688
title: NMR data for 4-ETHOXY-ANILINE
DOI: 10.18716/nmrshiftdb2/10008664
title: NMR data for 3-HYDROXY-ACETOPHENONE
DOI: 10.18716/nmrshiftdb2/10008672
title: NMR data for PROPANE,1-AMINO,3-METHOXY
DOI: 10.18716/nmrshiftdb2/10008668
title: NMR data for ETHANE,1-AMINO,2-DIETHYLAMINO
DOI: 10.18716/nmrshiftdb2/10008669
title: NMR data for ETHANOL,2-METHYLAMINO
DOI: 10.18716/nmrshiftdb2/10008675
title: NMR data for 1-AMINO-BUTANE; 1-Butanamine; Butylamine; Monobutylamine; n-butylamine; Norvalamine
DOI: 10.18716/nmrshiftdb2/10008662
title: NMR data for ETHER,(4-HYDROXYBENZYL),METHYL (TOLUENE,4-HYDROXY,ALPHA-METHOXY)
DOI: 10.18716/nmrshiftdb2/10008671
title: NMR data for PROPANE,1-AMINO,3-DIMETHYLAMINO
DOI: 10.18716/nmrshiftdb2/10008665
title: NMR data for 4-HYDROXY-BENZOPHENONE
DOI: 10.18716/nmrshiftdb2/10008676
title: NMR data for 2-AMINO-PROPANE
DOI: 10.18716/nmrshiftdb2/10008659
title: NMR data for 1-TERT.BUTYL,2-HYDRXY-BENZENE (1-TERT.BUTYL-PHENOL)
DOI: 10.18716/nmrshiftdb2/10008681
title: NMR data for 2-HYDROXY-PROPANOIC ACID ETHYL ESTER (L) (LACTIC ACID ETHYLESTER)
DOI: 10.18716/nmrshiftdb2/10008686
title: NMR data for 1,4-BUTANEDIOIC ACID (SUCCINIC ACID)