cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12667256.v1
title: Number of underway vessels in the Western Mediterranean (2016/01-2020/06)

description: Terrestrial AIS (T-AIS) data from the Western Mediterranean (map inset Fig 5a) were collated by the Balearic Islands Coastal and Forecasting System (SOCIB) using a real-time operational system connected to a web-service provided by MarineTraffic (https://www.marinetraffic.com/). The database used in this study contained AIS data from 1st January 2016 until 30th June 2020 at 5 minute intervals (&gt; 545 million AIS messages). In addition to the vessel tracks, the database also included information associated with each vessel, such as the vessel type or length. A first pre-processing of the raw data included the removal of duplicates, invalid identification numbers (i.e. Maritime Mobile Service Identity -MMSI- codes without 9 digits) and codes outside the correct numerical range (i.e. MMSI codes with first digits between 2 and 7 are those intended for individual ships). In order to address inconsistencies in the vessel and MMSI combinations (e.g., changes of MMSI across years), we selected the more frequent combination of MMSI and vessel characteristics (e.g. vessel name and vessel type) for each calendar year. We used a similar vessel categorization as the S-AIS dataset, but were able to derive a sixth category from the AIS metadata, separating “recreational” vessels from “other” vessels. Therefore, vessels were classified into six categories: cargo, tanker, passenger (included high speed crafts and passenger vessels), fishing, recreational (included sailing vessels and pleasure crafts), and others (included all other ship types). We excluded ship type codes 20 to 29 (i.e. wing-in-ground-effect and search and rescue aircraft), as well as codes that had an invalid value (i.e. empty or null) or the value was not listed in the previous type codes. We calculated the number of vessels per day taking into account only those that were underway, thus removing moored vessels inside ports that were inactive. T-AIS coverage was not homogenous in the study area (Holmes et al. 2020) due to a non-uniformly distribution of antennas (i.e. few antennas in north Africa, see www.marinetraffic.com). Based on a previous analysis of the AIS coverage (Holmes et al 2020), we filtered vessels within the coastal zone (44.4 km, ~24 nautical miles) of EU countries (i.e. a total area of 164,318.2 km2 comprised by Spain, France and Italy), thus reducing potential bias due to temporal gaps in signal reception.<br>
DOI: 10.5281/zenodo.4429583
title: Data for 'Heat stress destabilizes symbiotic nutrient cycling in corals'

description: Physiological data (tab 1) and NanoSIMS data (tab 2) associated with publication 'Heat stress destabilizes symbiotic nutrient cycling in corals'.
description: We thank Dr. Zenon B. Batang and Dr. Nabeel M. Alikunhi for their continuous support and assistance with aquaria maintenance. Further, Ioannis Georgakakis, Mustafa Altunkaya, Gabriela Perna, and Prof. Matt Kilburn are acknowledged for their help and support with sample processing and data analysis. N.R., C.P., A.C., M.P., J.-B.R., and C.R.V. are supported by the KAUST competitive research grant URF/1/3400-01-01. C.R.V. also acknowledges baseline funding from KAUST and the German Research Foundation (DFG) grant 433042944. A.M. is supported by Swiss National Science Foundation grant 200021.
DOI: 10.5281/zenodo.4429582
title: Data for 'Heat stress destabilizes symbiotic nutrient cycling in corals'

description: Physiological data (tab 1) and NanoSIMS data (tab 2) associated with publication 'Heat stress destabilizes symbiotic nutrient cycling in corals'.
description: We thank Dr. Zenon B. Batang and Dr. Nabeel M. Alikunhi for their continuous support and assistance with aquaria maintenance. Further, Ioannis Georgakakis, Mustafa Altunkaya, Gabriela Perna, and Prof. Matt Kilburn are acknowledged for their help and support with sample processing and data analysis. N.R., C.P., A.C., M.P., J.-B.R., and C.R.V. are supported by the KAUST competitive research grant URF/1/3400-01-01. C.R.V. also acknowledges baseline funding from KAUST and the German Research Foundation (DFG) grant 433042944. A.M. is supported by Swiss National Science Foundation grant 200021.
DOI: 10.15468/v9edqr
title: Two new species of Paratanytarsus Thienemann & Bause (Diptera: Chironomidae) from Oriental China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Zhiqiang, Tang, Hongqu (2021): Two new species of Paratanytarsus Thienemann & Bause (Diptera: Chironomidae) from Oriental China. Zootaxa 4903 (3): 430-438, DOI: https://doi.org/10.11646/zootaxa.4903.3.8
DOI: 10.6084/m9.figshare.12385862
title: Term type Patterns

description: The term types and their patterns which are part of the Heuristics-based Reasons Miner.
DOI: 10.6084/m9.figshare.12385862.v1
title: Term type Patterns

description: The term types and their patterns which are part of the Heuristics-based Reasons Miner.
DOI: 10.15468/ghp2yk
title: Two new species of Tipula (Vestiplex) Bezzi (Diptera, Tipulidae) from Northwest China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ren, Jinlong, Li, Yan, Yang, Ding (2021): Two new species of Tipula (Vestiplex) Bezzi (Diptera, Tipulidae) from Northwest China. Zootaxa 4903 (3): 373-392, DOI: https://doi.org/10.11646/zootaxa.4903.3.4
DOI: 10.6084/m9.figshare.12676070
title: Global changes in vessel traffic density per vessel categories during January-June 2020

description: Absolute difference in traffic density during January-June 2020, compared with equivalent months from 2019, and derived using cell-by-cell subtraction. Data is provided in GeoTiff format and structured in monthly folders. Coordinate reference system is Mollweide projection with a WGS84 datum.<br>Vessel categories: (a) count (all vessels), (<b>b</b>) cargo, (<b>c</b>) tanker, (<b>d</b>) passenger, (<b>e</b>) fishing, (<b>f</b>) other vessels.<br><br>
DOI: 10.6084/m9.figshare.12676070.v1
title: Global changes in vessel traffic density per vessel categories between April 2020 and April 2019

description: Absolute difference in traffic density between April 2020 and April 2019, derived using cell-by-cell subtraction. Coordinate reference system is Mollweide projection with a WGS84 datum.<br>Vessel categories: (a) count (all vessels), (<b>b</b>) cargo, (<b>c</b>) tanker, (<b>d</b>) passenger, (<b>e</b>) fishing, (<b>f</b>) other vessels.
DOI: 10.5283/epub.43799
title: Data archive of "Ultrafast terahertz saturable absorbers using tailored intersubband polaritons"
DOI: 10.6084/m9.figshare.12732260.v1
title: Reasons behind PEP decisions

description: The list of 300 reason containing sentences that we manually extracted from the Python email archives that contains reasons behind 248 Accepted and Rejected PEPs.<br>In the second, and third sheets, these are further grouped, by DM scheme and PEP type. The final sheet shows the PEP numbers as well.
DOI: 10.6084/m9.figshare.12732260
title: Reasons behind PEP decisions

description: The list of 300 reason containing sentences that we manually extracted from the Python email archives that contains reasons behind 248 Accepted and Rejected PEPs.<br>In the second, and third sheets, these are further grouped, by DM scheme and PEP type. The final sheet shows the PEP numbers as well.
DOI: 10.6084/m9.figshare.13554134
title: Juniperus excelsa complex chorology

description: Distribution map of <i>Juniperus excelsa</i> complex.<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").<br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.5517/ccdc.csd.cc20rqj1
title: CCDC 1869843: Experimental Crystal Structure Determination

description: Related Article: Weiqiang Fu, Wenbo Dai, Jianbing Shi, Bin Tong, Zhengxu Cai, Junge Zhi, Yuping Dong|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21syxq
title: CCDC 1900824: Experimental Crystal Structure Determination

description: Related Article: Fernando Herrera, Amparo Luna, Pedro Almendros|2020|Org.Lett.|22|9490|doi:10.1021/acs.orglett.0c03482
DOI: 10.5517/ccdc.csd.cc23hlx4
title: CCDC 1951416: Experimental Crystal Structure Determination

description: Related Article: Benson Joseph, Suman Gomosta, Rini Prakash, Thierry Roisnel, Ashwini K. Phukan, Sundargopal Ghosh|2020|Chem.-Eur.J.|26|16824|doi:10.1002/chem.202003152
DOI: 10.5517/ccdc.csd.cc23hly5
title: CCDC 1951417: Experimental Crystal Structure Determination

description: Related Article: Benson Joseph, Suman Gomosta, Rini Prakash, Thierry Roisnel, Ashwini K. Phukan, Sundargopal Ghosh|2020|Chem.-Eur.J.|26|16824|doi:10.1002/chem.202003152
DOI: 10.5517/ccdc.csd.cc23kyyl
title: CCDC 1953680: Experimental Crystal Structure Determination

description: Related Article: Takanori Kotera, Atsushi Fujita, Masahiro Mikuriya, Daisuke Yoshioka, Takashi Shibahara, Kichisuke Nishimoto, Makoto Handa|2020|IOP Conference Series: Materials Science and Engineering|835|012024|doi:10.1088/1757-899X/835/1/012024
DOI: 10.5517/ccdc.csd.cc23kyzm
title: CCDC 1953681: Experimental Crystal Structure Determination

description: Related Article: Takanori Kotera, Atsushi Fujita, Masahiro Mikuriya, Daisuke Yoshioka, Takashi Shibahara, Kichisuke Nishimoto, Makoto Handa|2020|IOP Conference Series: Materials Science and Engineering|835|012024|doi:10.1088/1757-899X/835/1/012024
DOI: 10.5517/ccdc.csd.cc244dyn
title: CCDC 1970451: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Jiahui Li, Hongyan Lin, Guocheng Liu, Wang Xiang, Xue Bai|2020|J.Coord.Chem.|73|2546|doi:10.1080/00958972.2020.1831481
DOI: 10.5517/ccdc.csd.cc244f0r
title: CCDC 1970453: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Jiahui Li, Hongyan Lin, Guocheng Liu, Wang Xiang, Xue Bai|2020|J.Coord.Chem.|73|2546|doi:10.1080/00958972.2020.1831481
DOI: 10.5517/ccdc.csd.cc244jtn
title: CCDC 1970571: Experimental Crystal Structure Determination

description: Related Article: Xiuli Wang, Jiahui Li, Hongyan Lin, Guocheng Liu, Wang Xiang, Xue Bai|2020|J.Coord.Chem.|73|2546|doi:10.1080/00958972.2020.1831481
DOI: 10.5517/ccdc.csd.cc24gnny
title: CCDC 1980300: Experimental Crystal Structure Determination

description: Related Article: Roman Bashkurov, Yosi Kratish, Charles C. Mokhtarzadeh, Natalia Fridman, Dmitry Bravo-Zhivotovskii, Patricio E. Romero, Scott B. Clendenning, Yitzhak Apeloig|2020|Inorg.Chem.|59|17488|doi:10.1021/acs.inorgchem.0c02730
DOI: 10.5517/ccdc.csd.cc25cldk
title: CCDC 2007138: Experimental Crystal Structure Determination

description: Related Article: Alexey I. Nemytov, Irina A. Utepova, Mikhail A. Kiskin, Nikolay N. Efimov, Matvey V. Fedin, Igor L. Eremenko, Alexandra A. Musikhina, Pavel A. Slepukhin, Oleg N. Chupakhin|2021|Polyhedron|193|114901|doi:10.1016/j.poly.2020.114901
DOI: 10.5517/ccdc.csd.cc25clfl
title: CCDC 2007139: Experimental Crystal Structure Determination

description: Related Article: Alexey I. Nemytov, Irina A. Utepova, Mikhail A. Kiskin, Nikolay N. Efimov, Matvey V. Fedin, Igor L. Eremenko, Alexandra A. Musikhina, Pavel A. Slepukhin, Oleg N. Chupakhin|2021|Polyhedron|193|114901|doi:10.1016/j.poly.2020.114901
DOI: 10.5517/ccdc.csd.cc25dcxw
title: CCDC 2007898: Experimental Crystal Structure Determination

description: Related Article: Alexey I. Nemytov, Irina A. Utepova, Mikhail A. Kiskin, Nikolay N. Efimov, Matvey V. Fedin, Igor L. Eremenko, Alexandra A. Musikhina, Pavel A. Slepukhin, Oleg N. Chupakhin|2021|Polyhedron|193|114901|doi:10.1016/j.poly.2020.114901
DOI: 10.5517/ccdc.csd.cc25k42z
title: CCDC 2012460: Experimental Crystal Structure Determination

description: Related Article: Ji Wu, Ke Cao, Cai-Yan Zhang, Tao-Tao Xu, Xin-Yu Wen, Bo Li, Junxiao Yang|2020|Inorg.Chem.|59|17340|doi:10.1021/acs.inorgchem.0c02638
DOI: 10.5517/ccdc.csd.cc25k430
title: CCDC 2012461: Experimental Crystal Structure Determination

description: Related Article: Ji Wu, Ke Cao, Cai-Yan Zhang, Tao-Tao Xu, Xin-Yu Wen, Bo Li, Junxiao Yang|2020|Inorg.Chem.|59|17340|doi:10.1021/acs.inorgchem.0c02638
DOI: 10.5517/ccdc.csd.cc25m2ws
title: CCDC 2014345: Experimental Crystal Structure Determination

description: Related Article: Roman Bashkurov, Yosi Kratish, Charles C. Mokhtarzadeh, Natalia Fridman, Dmitry Bravo-Zhivotovskii, Patricio E. Romero, Scott B. Clendenning, Yitzhak Apeloig|2020|Inorg.Chem.|59|17488|doi:10.1021/acs.inorgchem.0c02730
DOI: 10.5517/ccdc.csd.cc25qcw5
title: CCDC 2017507: Experimental Crystal Structure Determination

description: Related Article: Timothy J. Boyle, Xavier J. Robinson, Fernando Guerrero, Diana Perales, Joshua A. Hubbard, Roger E. Cramer|2020|Inorg.Chem.|59|17149|doi:10.1021/acs.inorgchem.0c02428
DOI: 10.5517/ccdc.csd.cc25ps2r
title: CCDC 2016924: Experimental Crystal Structure Determination

description: Related Article: Julian M. Rotter, Roman Guntermann, Michael Auth, Andre Mähringer, Andreas Sperlich, Vladimir Dyakonov, Dana D. Medina, Thomas Bein|2020|Chemical Science|11|12843|doi:10.1039/D0SC03909H
DOI: 10.5517/ccdc.csd.cc25t2x0
title: CCDC 2020112: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Karl N. McCabe, Roland Schoch, Laurent Maron, Stephan Hohloch|2020|Chem.Commun.|56|15410|doi:10.1039/D0CC06670B
DOI: 10.5517/ccdc.csd.cc25t2y1
title: CCDC 2020113: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Karl N. McCabe, Roland Schoch, Laurent Maron, Stephan Hohloch|2020|Chem.Commun.|56|15410|doi:10.1039/D0CC06670B
DOI: 10.5517/ccdc.csd.cc25t2z2
title: CCDC 2020114: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Karl N. McCabe, Roland Schoch, Laurent Maron, Stephan Hohloch|2020|Chem.Commun.|56|15410|doi:10.1039/D0CC06670B
DOI: 10.5517/ccdc.csd.cc26ph2h
title: CCDC 2046436: Experimental Crystal Structure Determination

description: Related Article: Chidharth Krishnaraj, Himanshu Sekhar Jena, Laurens Bourda, Andreas Laemont, Pradip Pachfule, Jérôme Roeser, C. Vinod Chandran, Sander Borgmans, Sven M. J. Rogge, Karen Leus, Christian V. Stevens, Johan A. Martens, Veronique Van Speybroeck, Eric Breynaert, Arne Thomas, Pascal Van Der Voort|2020|J.Am.Chem.Soc.|142|20107|doi:10.1021/jacs.0c09684
DOI: 10.5517/ccdc.csd.cc26ph3j
title: CCDC 2046437: Experimental Crystal Structure Determination

description: Related Article: Chidharth Krishnaraj, Himanshu Sekhar Jena, Laurens Bourda, Andreas Laemont, Pradip Pachfule, Jérôme Roeser, C. Vinod Chandran, Sander Borgmans, Sven M. J. Rogge, Karen Leus, Christian V. Stevens, Johan A. Martens, Veronique Van Speybroeck, Eric Breynaert, Arne Thomas, Pascal Van Der Voort|2020|J.Am.Chem.Soc.|142|20107|doi:10.1021/jacs.0c09684
DOI: 10.6084/m9.figshare.12925757
title: Multimodal dataset of one Kyokushin karate athlete (B0367).

description: Participant B0367 (sample).
DOI: 10.5281/zenodo.4432158
title: Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories'

description: <strong>Data and code for the paper 'Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories'</strong> See the preprint. The R markdown document (containing R code) docs/new_figures.Rmd can be used to reproduce all figures and modelling results of the paper. The models themselves are described and fitted in the R markdown document spatial_confounds.Rmd. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot also has information on reindeer densities in their reindeer herding district, and on the level of management intensity. For more information, see the paper. Original community amd trait data and are not included to avoid data duplication. Community data are available upon request, and will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements, references to trait sources are listed in docs/trait_references.txt. Climate data are from TerraClimate. ## References<br> Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74.
DOI: 10.6084/m9.figshare.13213898
title: nanopore_mk_figshare.tar.gz

description: BackgroundMicrobial keratitis is a leading cause of preventable blindness worldwide. Conventional sampling and culture techniques are time-consuming, with over 40% of cases being culture-negative. Nanopore sequencing technology is portable and capable of generating long sequencing reads in real-time. The aim of this study is to evaluate the potential of nanopore sequencing directly from clinical samples for the diagnosis of bacterial microbial keratitis.MethodsUsing full-length 16S rRNA amplicon sequences from a defined mock microbial community, we evaluated and benchmarked our bioinformatics analysis pipeline for taxonomic assignment on three different 16S rRNA databases (NCBI 16S RefSeq, RDP, and SILVA) with clustering at 97%, 99% and 100% similarities. Next, we optimised the sample collection using an ex vivo porcine model of microbial keratitis to compare DNA recovery rates of 12 different collection methods: 21­gauge needle, PTFE membrane (4mm and 6mm), Isohelix™ SK-2S, Sugi® Eyespear, Cotton, Rayon, Dryswab™, Hydraflock®, Albumin­coated, Purflock®, Purfoam and Polyester swabs. As a proof-of-concept study, we then used the sampling technique that provided the highest DNA recovery, along with the optimised bioinformatics pipeline, to prospectively collected samples from patients with suspected microbial keratitis. The resulting nanopore sequencing results were then compared to standard microbiology culture methods.ResultsWe found that applying alignment filtering to nanopore sequencing reads and aligning to the NCBI 16S RefSeq database at 100% similarity provided the most accurate bacterial taxa assignment. DNA concentration recovery rates differed significantly between the collection methods (p&lt;0.001), with the Sugi®Eyespear swab providing the highest mean rank of DNA concentration. Then, applying the optimised collection method and bioinformatics pipeline directly to samples from two patients with suspected microbial keratitis, sequencing results from Patient A were in agreement with culture results, whilst Patient B, with negative culture results and previous antibiotic use, showed agreement between nanopore and Illumina Miseq sequencing results.
DOI: 10.5519/qd.te65vqyl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (539745 records)
DOI: 10.25387/g3.12964592
title: Supplemental Material for Burley et al., 2020

description: Supplementary table data.
DOI: 10.25387/g3.12964592.v1
title: Supplemental Material for Burley et al., 2020

description: Supplementary table data.
DOI: 10.5445/ir/1000127887
title: Simulationsmodell des tangential-schlagenden Anziehprozesses von Schraubenverbindungen
DOI: 10.5281/zenodo.4420413
title: Micromechanics of Void Nucleation and Early Growth at Incoherent Precipitates: Lattice-trapped and Dislocation-mediated Delamination Modes

description: This repository contains raw data analyzed in the referenced manuscript published in Crystals (10.3390/cryst11010045). See the included README file for detailed information on the contents.
DOI: 10.5281/zenodo.4420412
title: Micromechanics of Void Nucleation and Early Growth at Incoherent Precipitates: Lattice-trapped and Dislocation-mediated Delamination Modes

description: This repository contains raw data analyzed in the referenced manuscript published in Crystals (10.3390/cryst11010045). See the included README file for detailed information on the contents.
DOI: 10.5445/ir/1000127982
title: 3D printable heat exchanger for incorporation into a photoresponsive membrane gas permeation test cell
DOI: 10.25387/g3.13252664.v2
title: Supplemental Material for Davey et al., 2020

description: 13 Supplemental Files, 5 Supplemental Tables (in one file) and 21 Supplemental Figures to support a chromosomal genome assembly of Angomonas deanei (https://doi.org/10.1093/g3journal/jkaa018). Supplemental Files are described in full in File S1.
DOI: 10.25387/g3.13252664
title: Supplemental Material for Davey et al., 2020

description: 13 Supplemental Files, 5 Supplemental Tables (in one file) and 21 Supplemental Figures to support a chromosomal genome assembly of Angomonas deanei (https://doi.org/10.1093/g3journal/jkaa018). Supplemental Files are described in full in File S1.
DOI: 10.25387/g3.13252664.v1
title: Supplemental Material for Davey et al., 2020

description: New version of File S1 now containing supplemental figure and table legends as required for final submission. To be combined with two previous figshare submissions for this manuscript and to replace the previous version of File S1.
DOI: 10.25919/49k5-j485
title: Parkes observations for project P595 semester 2020OCTS_05

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.