cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/zeqlggmcoxyggy-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (5-iodo-2-lambda1-oxidanyl-1,1,3,3-tetramethylisoindole)
title: InChI=1S/C12H15INO/c1-11(2)9-6-5-8(13)7-10(9)12(3,4)14(11)15/h5-7H,1-4H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 60 °C): 317/316 (17/100) [M+], 302 (18) [M+ – CH3 + H], 301 (25) [M+ – CH3], 286 (39) [M+ – 2 CH3], 271 (31) [M+ – 3 CH3], 144 (17) [M+ – 3 CH3 – I], 143 (9) [M+ – 2 CH3 – I – O], 129 (15), 128 (11).HRMS–EI (m/z): [M]+ calcd for C12H15NO127I, 316.0193; found, 316.0193.
DOI: 10.5281/zenodo.3747876
title: Major mineral deposits of the world

description: Regional locations and general geologic setting of known deposits of major nonfuel mineral commodities.
DOI: 10.14272/xwtbmuirolhfgv-uhfffaoysa-n.1
title: 2-lambda1-oxidanyl-1,1,3,3-tetramethylisoindole
title: InChI=1S/C12H16NO/c1-11(2)9-7-5-6-8-10(9)12(3,4)13(11)14/h5-8H,1-4H3

description: This dataset contains experimental data from a sample (2-lambda1-oxidanyl-1,1,3,3-tetramethylisoindole, InChI=1S/C12H16NO/c1-11(2)9-7-5-6-8-10(9)12(3,4)13(11)14/h5-8H,1-4H3). The datasets from the following experiments are available: mass spectrometry (MS)
DOI: 10.14272/xwtbmuirolhfgv-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (2-lambda1-oxidanyl-1,1,3,3-tetramethylisoindole)
title: InChI=1S/C12H16NO/c1-11(2)9-7-5-6-8-10(9)12(3,4)13(11)14/h5-8H,1-4H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 50 °C): 191/190 (9/68) [M+], 176/175 (16/53) [M+ – CH3], 161/160 (9/55) [M+ – 2 CH3], 158 (21), 146/145 (11/100) [M+ – 3 CH3], 129 (10), 117 (16).HRMS–EI (m/z): [M]+ calcd for C12H16NO, 190.1226; found, 190.1225.
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l.1
title: C59H54Cu2I2NP3
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: This dataset contains experimental data from a sample (InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;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) single crystal X-ray diffraction (single-crystal X-ray diffraction)
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000159
title: single crystal X-ray diffraction (single-crystal X-ray diffraction) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for single crystal X-ray diffraction (single-crystal X-ray diffraction)
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA) m/z [%] = 1311 (1) [M+Cu]+, 1049 (3) [Cu3I2LP]+, 860 (6) [Cu2ILP]+, 787 (21) [Cu3I2L]+, 670 (49) [CuLP]+, 597 (62) [Cu2IL]+, 587 (33) [CuP2]+, 408 (100) [CuL]+, 346 (21) [L+H]+, 325 (42) [CuP]+, 263 (25) [P+H]+.
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;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] = 8.45 (bs, 1H, HPyr), 7.45–7.22 (m, 43H), 2.52 (bs, 1H, HCH2), 1.88 (sept, 3JHH = 7.6 Hz, 1H, HCH), 1.52–1.41 (m, 4H, HAlkyl), 1.40–1.36 (m, 2H, HAlkyl), 1.01–0.93 (m, 2H, HAlkyl). Impurities: 1% DCM 2% THF, 3% H-grease, 2% unknown, 1% phosphine oxide of the ligands according to the 31P-NMR.
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;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 = 27.8 Hz), 129.8 (s), 128.4 (d, JCP = 8.4 Hz), 31.6 (s), 24.3 (s), resonances could not be assigned due to low resolution even at 8192 ns (53C). Impurities: 1% DCM 2% THF, 3% H-grease, 2% unknown, 1% phosphine oxide of the ligands according to the 31P-NMR.
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;2*1-15H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) 𝜈̃ [cm–1] = 3047 (vw), 2949 (w), 2860 (vw), 1812 (vw), 1586 (w), 1542 (vw), 1479 (w), 1433 (w), 1388 (w), 1308 (vw), 1182 (w), 1156 (vw), 1093 (w), 1068 (w), 1027 (w), 997 (w), 846 (vw), 740 (m), 691 (m), 618 (vw), 515 (m), 468 (w), 425 (w).
DOI: 10.14272/yqlazyjxulowly-uhfffaoysa-l/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ()
title: InChI=1S/C23H24NP.2C18H15P.2Cu.2HI/c1-3-11-21(12-4-1)25(22-13-5-2-6-14-22)23-18-20(15-16-24-23)17-19-9-7-8-10-19;2*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;;;;/h1-6,11-16,18-19H,7-10,17H2;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] = −5.35 (bs, 1P, PCyclopentPyrPhos), −11.10 (bs, 2P, PPPh3). Impurities: 1% phosphine oxide of the ligands.
DOI: 10.14272/zahpsfhhfnvyar-uhfffaoysa-n.1
title: 1,1,3,3-tetramethyl-2H-isoindole
title: InChI=1S/C12H17N/c1-11(2)9-7-5-6-8-10(9)12(3,4)13-11/h5-8,13H,1-4H3

description: This dataset contains experimental data from a sample (1,1,3,3-tetramethyl-2H-isoindole, InChI=1S/C12H17N/c1-11(2)9-7-5-6-8-10(9)12(3,4)13-11/h5-8,13H,1-4H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS)
DOI: 10.14272/zahpsfhhfnvyar-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (1,1,3,3-tetramethyl-2H-isoindole)
title: InChI=1S/C12H17N/c1-11(2)9-7-5-6-8-10(9)12(3,4)13-11/h5-8,13H,1-4H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 70 °C): 175 (1.7) [M+], 174 (12) [M+ – H], 161/160 (13/100) [M+ – CH3], 158 (10), 145 (33) [M+ – 2 CH3], 144 (27) [M+ – 2 CH3 – H].HRMS–EI (m/z): [M]+ calcd for C12H17N, 175.1356; found, 175.1354.
DOI: 10.14272/zahpsfhhfnvyar-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1,1,3,3-tetramethyl-2H-isoindole)
title: InChI=1S/C12H17N/c1-11(2)9-7-5-6-8-10(9)12(3,4)13-11/h5-8,13H,1-4H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Dichloromethane-d2 [5.32 ppm], ppm) δ = 7.20–7.25 (m, 2H), 7.10–7.15 (m, 2H), 1.81 (bs, 1H), 1.41 (s, 12H).
DOI: 10.14272/zahpsfhhfnvyar-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,1,3,3-tetramethyl-2H-isoindole)
title: InChI=1S/C12H17N/c1-11(2)9-7-5-6-8-10(9)12(3,4)13-11/h5-8,13H,1-4H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Dichloromethane-d2 [54.0 ppm], ppm) δ = 149.6 (2C), 127.5 (2C), 121.9 (2C), 63.1 (2C), 32.5 (4C).
DOI: 10.5281/zenodo.3747875
title: Major mineral deposits of the world

description: Regional locations and general geologic setting of known deposits of major nonfuel mineral commodities.
DOI: 10.5281/zenodo.3747716
title: Chaetoceros decipiens (UNC1416) reference transcriptome

description: Reference transcriptome and associated annotations for <em>Chaetoceros decipiens </em>(UNC1416). A culture was grown into late exponential phase for filtration. Total RNA was extracted using the RNAqueous-4PCR Total RNA Isolation Kit (Ambion, Foster City, CA, USA) according to the manufacturer’s protocol with an initial bead beating step to disrupt cells. RNA libraries were created with either the Illumina TruSeq Stranded mRNA Library Preparation Kit. The library was sequenced on an Illumina MiSeq (300 bp, paired-end reads) and an Illumina HiSeq 2500 with one lane in high output mode (100 bp, paired-end reads) and another lane in rapid run mode (150 bp, paired-end reads). Raw reads were trimmed for quality with Trimmomatic v0.36 then assembled <em>de novo </em>with Trinity v2.5.1 with the default parameters for paired-reads and a minimum contig length of 90 bp. Contigs were clustered based on 99% similarity using CD-HIT-EST v4.7 and then protein sequences were predicted with GeneMark S-T. Protein sequences were annotated by best-homology (lowest E-value) with the KEGG (Release 86.0), UniProt (Release 2018_03), and PhyloDB (v1.076) databases via BLASTP v2.7.1 (E-value ≤ 10<sup>-5</sup>) and with Pfam 31.0 via HMMER v3.1b2 (Dataset S2). KEGG Ortholog (KO) annotations were assigned from the top hit with a KO annotation from the top 10 hits (https://github.com/ctberthiaume/keggannot). Provided here are predicted proteins as nucleotides and peptides. Raw reads are deposited in SRA (SRP234548).
DOI: 10.5281/zenodo.3747717
title: Chaetoceros decipiens (UNC1416) reference transcriptome

description: Reference transcriptome and associated annotations for <em>Chaetoceros decipiens </em>(UNC1416). A culture was grown into late exponential phase for filtration. Total RNA was extracted using the RNAqueous-4PCR Total RNA Isolation Kit (Ambion, Foster City, CA, USA) according to the manufacturer’s protocol with an initial bead beating step to disrupt cells. RNA libraries were created with either the Illumina TruSeq Stranded mRNA Library Preparation Kit. The library was sequenced on an Illumina MiSeq (300 bp, paired-end reads) and an Illumina HiSeq 2500 with one lane in high output mode (100 bp, paired-end reads) and another lane in rapid run mode (150 bp, paired-end reads). Raw reads were trimmed for quality with Trimmomatic v0.36 then assembled <em>de novo </em>with Trinity v2.5.1 with the default parameters for paired-reads and a minimum contig length of 90 bp. Contigs were clustered based on 99% similarity using CD-HIT-EST v4.7 and then protein sequences were predicted with GeneMark S-T. Protein sequences were annotated by best-homology (lowest E-value) with the KEGG (Release 86.0), UniProt (Release 2018_03), and PhyloDB (v1.076) databases via BLASTP v2.7.1 (E-value ≤ 10<sup>-5</sup>) and with Pfam 31.0 via HMMER v3.1b2 (Dataset S2). KEGG Ortholog (KO) annotations were assigned from the top hit with a KO annotation from the top 10 hits (https://github.com/ctberthiaume/keggannot). Provided here are predicted proteins as nucleotides and peptides. Raw reads are deposited in SRA (SRP234548).
DOI: 10.5281/zenodo.3747888
title: Sample of facial mask N95 and FFP2 pricing on retail webs and time evolution per country

description: We've gathered - for a Data Science educational project - the pricing of several face mask for breathing protection in a given period of time. Countries : Spain', 'USA', 'France', 'UK', 'Germany', 'Italy', 'Netherlands', 'Australia' 'asin' type: STRING "Código de identifícación único de product equivalente de AMAZON" 'description' type: STRING 'Texto descriptivo del producto' 'dateTime' type: TIMESTAMP 'Cadena de carateres que contiene fecha y hora GMT' 'date' Type: DATETIME ' Formato diferente de la misma fecha / hora de captura ' 'country' type: STRING 'Pais al que pertenece a distribución del producto 'Valores posibles: '
description: UTF-8, Text Spanish, Semicolon sep.
DOI: 10.5281/zenodo.3747887
title: Sample of facial mask N95 and FFP2 pricing on retail webs and time evolution per country

description: We've gathered - for a Data Science educational project - the pricing of several face mask for breathing protection in a given period of time. Countries : Spain', 'USA', 'France', 'UK', 'Germany', 'Italy', 'Netherlands', 'Australia' 'asin' type: STRING "Código de identifícación único de product equivalente de AMAZON" 'description' type: STRING 'Texto descriptivo del producto' 'dateTime' type: TIMESTAMP 'Cadena de carateres que contiene fecha y hora GMT' 'date' Type: DATETIME ' Formato diferente de la misma fecha / hora de captura ' 'country' type: STRING 'Pais al que pertenece a distribución del producto 'Valores posibles: '
description: UTF-8, Text Spanish, Semicolon sep.
DOI: 10.25919/5e90de7cd4144
title: Parkes observations for project P456 semester 2019OCTS_19

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.17632/c25nh9nfxp.2
title: Data for: Development of a new code for stopping power and CSDA range calculation of incident charged particles, Part A: electron and positron

description: these data present the stopping power and range of electron and positron in selected matters
DOI: 10.25919/5e90deb19808f
title: Parkes observations for project P885 semester 2019OCTS_20

description: We propose to observe the magnetars 1E 1547.0-5408 and PSR J1622-4950 approximately weekly, to track their rotation, flux density, and polarisation, as we have been doing through this project. Also, as of late 2018, XTE J1810-197 is again a radio magnetar after 10 years dormant! Its chaotic rotation is better tracked in detail elsewhere, but weekly observations with the UWL receiver are already providing unique measurements of its radio spectrum and broad-band behaviour. Our observations provide an important window into remarkably dynamic magnetar magnetospheres, and characterise the conditions under which radio emission takes place therein, placing constraints on the emission mechanisms, which in at least some significant respects differ from those of ordinary pulsars.
DOI: 10.25919/5e910c2e8b096
title: Parkes observations for project P958 semester 2019OCTS_89

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last two year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 31 bursts, five of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.25919/5e90def607354
title: Parkes observations for project P895 semester 2019OCTS_05

description: Since the year 2005, the Parkes Pulsar Timing Array (PPTA) project has been placing ever more stringent constraints on the amplitude of a gravitational wave background signal. Such upper bounds on the amplitude of the gravitational wave signal are currently dominated by a single pulsar: PSR J1909-3744. The upper bound with this pulsar alone already cuts into the range of tenable theoretical models. Further reducing the amplitude bound (by continued regular observations of this pulsar) will significantly narrow that range. The first evidence of gravitational waves in the pulsar data are likely to be observed in the timing for PSR J1909-3744, but with only a single pulsar we will not be able to make an unambiguous detection. However, knowledge of the likely signal strength (derived from this pulsar) will help to optimise the observing strategy for the detection of the gravitational wave signals with existing or future pulsar timing arrays.
DOI: 10.5281/zenodo.3748066
title: Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere

description: Data for the Space Weather paper titled "Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere"
DOI: 10.5281/zenodo.3748067
title: Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere

description: Data for the Space Weather paper titled "Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere"
DOI: 10.21227/zy1t-b641
title: FallAllD: A Comprehensive Dataset of Human Falls and Activities of Daily Living

description: DescriptionFallAllD is a large open dataset of human falls and activities of daily living simulated by 15 participants. FallAllD consists of 26420 files collected using three data-loggers worn on the waist, wrist and neck of the subjects. Motion signals are captured using an accelerometer, gyroscope, magnetometer and barometer with efficient configurations that suit the potential applications e.g. fall detection, fall prevention and human activity recognition.Data AcquisitionThree identical data-loggers have been used. They are waist, wrist and neck-worn devices equipped with:· LSM9DS1: 3-axial accelerometer, 3-axial gyroscope and 3-axial magnetometer.· MS5607-02BA03: barometer.Sensors configurations· Accelerometer: Sampling frequency = 238 Hz. Measurement range = ±8 g.· Gyroscope: Sampling frequency = 238 Hz. Angular rate = ± 2000 dps.· Magnetometer: Sampling frequency = 80 Hz. Full scale magnetic field = ±4 Gauss.· Barometer: Sampling frequency = 10 Hz.
DOI: 10.5281/zenodo.3743879
title: Proteomics of S and N proteins

description: LC-MS/MS (CID; Orbitrap Elite) of recombinant Spike and Nucleocapsid proteins
DOI: 10.25919/5e90df4c1a3d4
title: Parkes observations for project P958 semester 2019OCTS_88

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last two year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 31 bursts, five of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.5281/zenodo.3748074
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748074
DOI: 10.5281/zenodo.3748073
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748074
DOI: 10.5519/qd.k1a1es48
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5281/zenodo.3748078
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748079
DOI: 10.5281/zenodo.3748079
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748079
DOI: 10.21227/artt-cx44
title: DeepWiPHY: Synthetic and real-world IEEE 802.11ax OFDM symbol dataset

description: This dataset is associated with the paper entitled "DeepWiPHY: Deep Learning-Based IEEE 802.11ax Receiver". It has synthetic and real-word IEEE 802.11ax OFDM symbols. The synthetic dataset has around 110 million OFDM symbols and the real-world dataset has more than 14 million OFDM symbols. Our comprehensive synthetic dataset has specifically considered typical indoor channel models and RF impairments. The real-world dataset was collected under a wide range of signal-to-noise ratio (SNR) levels and at various locations in a large office. To create this real-world dataset, we built a passive sniffing-based data collection testbed with a commercial AP, a Samsung mobile phone and two USRPs.
DOI: 10.5281/zenodo.3748098
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748099
DOI: 10.5281/zenodo.3748099
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3748099
DOI: 10.25919/5e91558b55554
title: Parkes observations for project PX500 semester 2019APRS_26

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.