cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/powawefvivsnfm-uhfffaoysa-l/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/2C18H12Cl3P.C18H16NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-15-12-13-19-18(14-15)20(16-8-4-2-5-9-16)17-10-6-3-7-11-17;;;;/h2*1-12H;2-14H,1H3;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6) δ [ppm] = 135.3 (d, JCP = 15.6 Hz), 133.3 (m), 131.4 (d, JCP = 27.6 Hz), 130.1 (s), 128.8 (d, JCP = 8.8 Hz), 128.6 (d, JCP = 7.8 Hz), 21.8 (s, 1C, CMe), resonances could not be assigned due to low resolution even at 8192 ns (47C). Impurities: 3% DCM, 4% H-grease, 1% THF, 3% phosphine oxide of the ligands according to the 31P-NMR, note that the complex was not completely dissolved in the deuterated solvent.
DOI: 10.14272/powawefvivsnfm-uhfffaoysa-l/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ()
title: InChI=1S/2C18H12Cl3P.C18H16NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-15-12-13-19-18(14-15)20(16-8-4-2-5-9-16)17-10-6-3-7-11-17;;;;/h2*1-12H;2-14H,1H3;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 31P nuclear magnetic resonance spectroscopy (31P NMR) 31P NMR (162 MHz, DMSO-d6) δ [ppm] = −4.73 (bs, 1P, PMePyrPhos), −12.98 (bs, 2P, P(Cl-Ph)3P). Impurities: 3% unknown phosphine species, 3% phosphine oxide of the ligands, note that the complex was not completely dissolved in the deuterated solvent.
DOI: 10.14272/powawefvivsnfm-uhfffaoysa-l.1
title: C54H40Cl6Cu2I2NP3
title: InChI=1S/2C18H12Cl3P.C18H16NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-15-12-13-19-18(14-15)20(16-8-4-2-5-9-16)17-10-6-3-7-11-17;;;;/h2*1-12H;2-14H,1H3;;;2*1H/q;;;2*+1;;/p-2

description: This dataset contains experimental data from a sample (InChI=1S/2C18H12Cl3P.C18H16NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-15-12-13-19-18(14-15)20(16-8-4-2-5-9-16)17-10-6-3-7-11-17;;;;/h2*1-12H;2-14H,1H3;;;2*1H/q;;;2*+1;;/p-2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 31P nuclear magnetic resonance spectroscopy (31P NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) single crystal X-ray diffraction (single-crystal X-ray diffraction)
DOI: 10.14272/vssfgrbidnauhk-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (2-bromo-3-phenylquinoxaline)
title: InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 80 °C): 286/284 (20/20) [M]+, 206 (17), 205 (100), 102 (16), 77 (15).HRMS–EI (m/z): [M]+ calcd for C14H9N279Br1, 283.9949; found, 283.9950.
DOI: 10.14272/vssfgrbidnauhk-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-bromo-3-phenylquinoxaline)
title: InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.49–7.58 (m, 3H, CHar), 7.77–7.85 (m, 4H, CHar), 8.05–8.12 (m, 1H, CHar), 8.12–8.19 (m, 1H, CHar).Spectra containing solvent peak (water and grease) at 1.55 ppm and 0.13 ppm.
DOI: 10.14272/vssfgrbidnauhk-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (2-bromo-3-phenylquinoxaline)
title: InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3098, 3060, 3030, 2959, 2928, 2901, 2856, 1955, 1939, 1847, 1723, 1643, 1611, 1575, 1555, 1531, 1494, 1479, 1459, 1442, 1387, 1333, 1293, 1278, 1251, 1215, 1159, 1145, 1132, 1101, 1069, 1028, 1001, 977, 967, 911, 880, 840, 796, 785, 758, 715, 686, 622, 611, 596, 584, 569, 551, 492, 475, 445, 431, 399, 385 cm–1.
DOI: 10.14272/vssfgrbidnauhk-uhfffaoysa-n.1
title: C14H9BrN2
title: InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: This dataset contains experimental data from a sample (2-bromo-3-phenylquinoxaline, InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) mass spectrometry (MS) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR)
DOI: 10.14272/vssfgrbidnauhk-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-bromo-3-phenylquinoxaline)
title: InChI=1S/C14H9BrN2/c15-14-13(10-6-2-1-3-7-10)16-11-8-4-5-9-12(11)17-14/h1-9H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm) δ = 128.4 (3C, CH), 129.5 (CH), 129.7 (2C, CH), 129.8 (CH), 130.8 (CH), 131.0 (CH), 138.0(Cq), 139.3(Cq), 141.0(Cq), 142.0(Cq), 154.7(Cq).
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA) m/z [%] = 1285 (2) [M+Cu]+, 1096 (2) [M-I]+, 1023 (4) [Cu3I2LP]+, 834 (15) [Cu2ILP]+, 761 (26) [Cu3I2L]+, 644 (56) [CuLP]+, 571 (72) [Cu2IL]+, 382 (100) [CuL]+, 325 (28) [CuP]+, 320 (22) [L+H]+, 263 (16) [P+H]+.
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6) δ [ppm] = 8.53 (bs, 1H, HPyr), 7.62 (m, 1H, HPyr), 7.45–7.27 (m, 41H), 1.10 (s, 9H, HtertBu). Impurities: 1% DCM, 1% H-grease, 1% phosphine oxide of the ligands according to the 31P-NMR.
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6) δ [ppm] = 133.7 (d, JCP = 13.8 Hz), 133.1 (d, JCP = 27.9 Hz), 129.8 (bs), 128.5 (d, JCP = 8.1 Hz), 34.8 (s, CtertBu), 29.7 (s, CtertBu), resonances could not be assigned due to low resolution even at 8192 ns (51C). Impurities: 1% DCM, 1% H-grease, 1% phosphine oxide of the ligands according to the 31P-NMR.
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) 𝜈̃ [cm–1] = 2961 (vw), 1585 (vw), 1479 (w), 1434 (w), 1382 (vw), 1156 (vw), 1093 (w), 1027 (vw), 998 (vw), 844 (vw), 741 (w), 692 (m), 518 (m), 504 (m), 427 (vw).
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ()
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for 31P nuclear magnetic resonance spectroscopy (31P NMR) 31P NMR (162 MHz, DMSO-d6) δ [ppm] = −5.04 (bs, 1P, PtertBuPyrPhos), −9.98 (bs, 2P, PPPh3). Impurities: 1% phosphine oxide of the ligands.
DOI: 10.14272/zwgyfjbnxkibaz-uhfffaoysa-l.1
title: C57H52Cu2I2NP3
title: InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: This dataset contains experimental data from a sample (InChI=1S/C21H22NP.2C18H15P.2Cu.2HI/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h4-16H,1-3H3;2*1-15H;;;2*1H/q;;;2*+1;;/p-2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 31P nuclear magnetic resonance spectroscopy (31P NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS)
DOI: 10.15129/d40c3955-5ca9-4464-9d7f-a8a1db31051a
title: Data for: "Metrology of crystal defects through intensity variations in secondary electrons from the diffraction of primary electrons in a scanning electron microscope"

description: ECCI micrographs shown in Figs. 2 to 5 were acquired using the FEI (now Thermo Fisher) Quanta 250 FEG-SEM. Typically, electron beam energy of 30 keV, beam currents between 2 – 4 nA, working distances between 10 – 16 mm and gas pressures between 0.5 – 1 mbar were used to perform ECCI in a low vacuum mode. ECCI micrographs shown in Figs. 6 and 7 were acquired using the Zeiss Auriga 60 with the Gemini column in high vacuum at 2 keV and 20 keV respectively. In order to achieve an acceptable signal to noise, the ECCI micrographs obtained using the gaseous secondary electron detector was acquired with a resolution of 2048 × 1768 pixels with a 100 µs dwell time and a detector bias set between +230 V to +250 V. An Oxford instruments forescatter detector was used to acquire the images shown in Figs. 2b, 3b, 5c, 5d and an Oxford Instruments Nordlys electron backscatter diffraction camera was used to acquire the electron backscatter diffraction pattern shown in Fig. 3d. An FEI quadrant backscattered electron detector was used to collect the image shown in Fig. 2c whereas Figs. 3a, 3c, and Fig. 4 were captured using the off-axis large field of view detector and on-axis gaseous secondary electron detector respectively. We used an Everhart-Thornley detector to acquire the ECCI micrographs displayed in Figs. 5a and 5b.
DOI: 10.17033/data.00000077
title: Optimising refugee resettlement in the UK: a comparative analysis

description: The research explores the experiences of resettled refugees who arrived in the UK in 2010 or earlier through the Gateway Protection Programme, the UK’s resettlement programme. This focus on people who already have substantial experience of living in the UK differs from previous research in this area and allows the research to explore longer term integration for those who have experienced the dramatic changes associated with resettlement. The research interprets integration very broadly as a wide range of processes that help to facilitate life in a new place. The longer-term perspective, combined with longitudinal methods contributes to understanding the dynamics of longer term integration processes.
description: Refugees were recruited in four cities in the UK: Greater Manchester, Brighton and Hove, Norwich, and Sheffield. In contrast to most previous research with resettled refugees in the UK, this study focused on people who had already been in the country for some time. All participants arrived in the UK in 2010 or earlier and so had at least four years of residency at the time of the first survey in 2014. Participants were approached by Research Assistants (RAs), who were all resettled refugees themselves. RAs received training on research methods before starting their work, during which cultural appropriateness and translations of the items used in the questionnaire were extensively discussed and agreed. The study had three data collection points, each one year apart (from 2014-2016). A questionnaire, which was individually administered (usually in respondents’ homes), gathered data on demographic background variables and various indicators of wellbeing and integration at each time point. This dataset includes data from items asking about self-efficacy and positive affect at all three time points.
DOI: 10.14457/pcru.res.2015.3
title: การจัดการความรู้เรื่องมะม่วงน้ำดอกไม้ในเขตพื้นที่ตำบลดงมูลเหล็ก
DOI: 10.14457/cmu.res.2016.13
title: การพัฒนาผลิตภัณฑ์เครื่องสำอางจากน้ำมันว่านสาวหลง
DOI: 10.14457/mu.the.2011.178
title: Novel trends in analytical sciences: capillary electrophoresis and microchip capillary electrophoresis
DOI: 10.14457/mu.the.2013.347
title: Development of the father involvement model during pregnancy and neonatal period
DOI: 10.6084/m9.figshare.12096786
title: Additional file 1 of Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study

description: Additional file 1 : Supporting Information.xlsx Description of data: Excel document containing 1). Table S1. of characteristics of databases utilised in this study 2). Table S2. of clinical diagnosis codes for disease variables 3). Table S3. of the age specific breakdown of dementia occurrence in 5 year intervals with duration of drug treatment usage 4). Table S3. showing the association between of days of use of methotrexate treatment and dementia diagnosis in people with rheumatoid arthritis and 5). Figure S1. showing the association between methotrexate and sulfasalazine treatment with dementia diagnosis in people with rheumatoid arthritis.
DOI: 10.6084/m9.figshare.12096786.v1
title: Additional file 1 of Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study

description: Additional file 1 : Supporting Information.xlsx Description of data: Excel document containing 1). Table S1. of characteristics of databases utilised in this study 2). Table S2. of clinical diagnosis codes for disease variables 3). Table S3. of the age specific breakdown of dementia occurrence in 5 year intervals with duration of drug treatment usage 4). Table S3. showing the association between of days of use of methotrexate treatment and dementia diagnosis in people with rheumatoid arthritis and 5). Figure S1. showing the association between methotrexate and sulfasalazine treatment with dementia diagnosis in people with rheumatoid arthritis.
DOI: 10.5281/zenodo.3736633
title: Ciliate otutable from BioMarKs, Malaspina and Tara datasets, and the metadata file

description: The otutable files include the ciliate sequences, taxonomic assignation and reads in each sample (already rarefacted) used in the study. The metadata file includes relevant information such as stations, coordinates, depth, fraction, 18S region barcode, etc. EPA_* files include the Reference sequences used to construct the Reference tree where query (V4 and V9) sequences were placed.
DOI: 10.5281/zenodo.3744272
title: Multiplexed histology reveals phenotypic and spatial characteristics of human Innate Lymphoid Cells in chronic inflammation - Data tables

description: Data tables containing image-based, single cell information for a tonsil and a colon data-set analyzed in CellProfiler: cell numbers, MFI of all markers, annotated cell types and cell allocations (X, Y coordinates).
description: This study was supported by funding from the Deutsche Forschungsgemeinschaft, (SPP1937, HA5354/8-2 to A.E.H.) The work was supported by an "Adding 3R Value" grant of the Charité - Universitätsmedizin, Berlin.
DOI: 10.5281/zenodo.3744273
title: Multiplexed histology reveals phenotypic and spatial characteristics of human Innate Lymphoid Cells in chronic inflammation - Data tables

description: Data tables containing image-based, single cell information for a tonsil and a colon data-set analyzed in CellProfiler: cell numbers, MFI of all markers, annotated cell types and cell allocations (X, Y coordinates).
description: This study was supported by funding from the Deutsche Forschungsgemeinschaft, (SPP1937, HA5354/8-2 to A.E.H.) The work was supported by an "Adding 3R Value" grant of the Charité - Universitätsmedizin, Berlin.
DOI: 10.15468/bk948k
title: Tyrannosaur Paleobiology: New Research on Ancient Exemplar Organisms

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stephen L. Brusatte, Mark A. Norell, Thomas D. Carr, Gregory M. Erickson, John R. Hutchinson, Amy M. Balanoff, Gabe S. Bever, Jonah N. Choiniere, Peter J. Makovicky, Xing Xu (2010): Tyrannosaur Paleobiology: New Research on Ancient Exemplar Organisms. Science 329: 1481-1485, DOI: 10.1126/science.1193304
DOI: 10.5255/ukda-sn-854135
title: Participatory video recordings with women in the Niger Delta 2018-2019
DOI: 10.5281/zenodo.3744264
title: ajimenezhdez/Practica-1-Sraping: Scraper la Liga19_20 v1.0.0

description: CSV basado en Scraper de datos basado en estadísticas de fútbol de la temporada 19/20 escrito con python en el contexto de la asignatura "Tipología de datos y ciclo de vida de los datos" para el máster de ciencia de datos en la Universitat Oberta de Catalunya
DOI: 10.5281/zenodo.3744263
title: ajimenezhdez/Practica-1-Sraping: Scraper la Liga19_20 v1.0.0

description: CSV basado en Scraper de datos basado en estadísticas de fútbol de la temporada 19/20 escrito con python en el contexto de la asignatura "Tipología de datos y ciclo de vida de los datos" para el máster de ciencia de datos en la Universitat Oberta de Catalunya
DOI: 10.5281/zenodo.3744335
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 46

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744336
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 46

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.25850/nioz/7b.b.z/iinfli
title: van Belzen_nioz-report_2020-3.pdf
DOI: 10.5281/zenodo.3744364
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 50

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744365
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 50

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5287/bodleian:mneqd2yvm
title: Possible subsurface doline features in the Chilterns
DOI: 10.5287/bodleian:kzaqmmkgd
title: FH_group_TGS_methods_paper_rev_sci_instr_data

description: Non-contact, non-destructive mapping of thermal diffusivity and surface acoustic wave speed using transient grating spectroscopy
DOI: 10.5519/qd.r5xk44n5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3744342
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 47

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744343
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 47

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.15161/oar.it/23546
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3744381
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 51

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744382
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 51

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744323
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 45

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744322
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 45

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744346
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 48

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744347
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 48

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5287/bodleian:y0pgb9bvj
title: Detection of Magnetic Field Effects by Confocal Microscopy

description: Pairs of paramagnetic species generated under conservation of total spin angular momentum can undergo magnetosensitive processes. Two prominent examples of systems exhibiting these so-called magnetic field effects (MFEs) are photogenerated radical pairs created from molecular precursors and pairs of triplets generated by singlet fission. Here, we showcase confocal microscopy as a powerful technique for the investigation of such phenomena. We first characterise the instrument studying the field-sensitive chemistry of two systems in solution: radical pairs formed in the protein cryptochrome and the flavin mononucleotide/hen-egg white lysozyme model system. We then extend these studies to single crystals. Firstly, we report temporally- and spatially-resolved MFEs in flavin-doped lysozyme single crystals. Anisotropic magnetic field effects are then reported in tetracene single crystals. Finally, we discuss the future applications of confocal microscopy for the study of magnetosensitive processes with a particular focus on the cryptochrome-based chemical compass believed to lie at the heart of animal magnetoreception.
DOI: 10.5281/zenodo.3744356
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 49

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.5281/zenodo.3744357
title: PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 49

description: These data were collected from robot controller during solar tanks welding operation.
DOI: 10.15468/ty2eyj
title: Protein Sequences from Mastodon and Tyrannosaurus Rex Revealed by Mass Spectrometry

description: This dataset contains the digitized treatments in Plazi based on the original journal article John M. Asara, Mary H. Schweitzer, Lisa M. Freimark, Matthew Phillips, Lewis C. Cantley (2007): Protein Sequences from Mastodon and Tyrannosaurus Rex Revealed by Mass Spectrometry. Science 316: 280-284, DOI: 10.1126/science.1137614
DOI: 10.5281/zenodo.3739825
title: Data for Mahgoub et al. analytic pipeline

description: Data for Mahgoub et al. analytic pipeline
DOI: 10.5281/zenodo.3739826
title: Data for Mahgoub et al. analytic pipeline

description: Data for Mahgoub et al. analytic pipeline
DOI: 10.25345/c55h7w
title: MassIVE MSV000085250 - GNPS merged five fractions mgs file been processing by MZmine2
title: The merged MSMS data from five fractions extracted from strain streptomyces cacaoi H2S5 and the deconvolution and deisotope of the data was processed by MZmine.