cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/yt0t-t959
title: Parkes observations for project P595 semester 2020OCTS_01

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.
DOI: 10.5517/ccdc.csd.cc221m2v
title: CCDC 1908176: Experimental Crystal Structure Determination

description: Related Article: Ji-Min Yang, Feng-Kai Guo, Yu-Tao Zhao, Qiao Zhang, Ming-Yao Huang, Mao-Lin Li, Shou-Fei Zhu, Qi-Lin Zhou|2020|J.Am.Chem.Soc.|142|20924|doi:10.1021/jacs.0c09596
description: Related Article: jimin yang|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc249njn
title: CCDC 1975491: Experimental Crystal Structure Determination

description: Related Article: Martin-Louis Y. Riu, Wesley J. Transue, Ioana Knopf, Christopher C. Cummins|2020|Organometallics|39|4187|doi:10.1021/acs.organomet.0c00463
DOI: 10.5517/ccdc.csd.cc249nkp
title: CCDC 1975492: Experimental Crystal Structure Determination

description: Related Article: Martin-Louis Y. Riu, Wesley J. Transue, Ioana Knopf, Christopher C. Cummins|2020|Organometallics|39|4187|doi:10.1021/acs.organomet.0c00463
DOI: 10.5517/ccdc.csd.cc249nlq
title: CCDC 1975493: Experimental Crystal Structure Determination

description: Related Article: Martin-Louis Y. Riu, Wesley J. Transue, Ioana Knopf, Christopher C. Cummins|2020|Organometallics|39|4187|doi:10.1021/acs.organomet.0c00463
DOI: 10.5517/ccdc.csd.cc249nmr
title: CCDC 1975494: Experimental Crystal Structure Determination

description: Related Article: Martin-Louis Y. Riu, Wesley J. Transue, Ioana Knopf, Christopher C. Cummins|2020|Organometallics|39|4187|doi:10.1021/acs.organomet.0c00463
DOI: 10.5517/ccdc.csd.cc25dbqn
title: CCDC 2007861: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Suresh Mummadi, Daniel K. Unruh, Clemens Krempner|2020|Organometallics|39|4307|doi:10.1021/acs.organomet.0c00411
DOI: 10.5517/ccdc.csd.cc25dbrp
title: CCDC 2007862: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Suresh Mummadi, Daniel K. Unruh, Clemens Krempner|2020|Organometallics|39|4307|doi:10.1021/acs.organomet.0c00411
DOI: 10.5517/ccdc.csd.cc25k687
title: CCDC 2012528: Experimental Crystal Structure Determination

description: Related Article: Kota Koshino, Rei Kinjo|2020|Organometallics|39|4183|doi:10.1021/acs.organomet.0c00444
DOI: 10.5517/ccdc.csd.cc25pk3k
title: CCDC 2016708: Experimental Crystal Structure Determination

description: Related Article: Xiaojun Li, Indunil Angunawela, Yuan Chang, Jiadong Zhou, He Huang, Lian Zhong, Alex Liebman-Pelaez, Chenhui Zhu, Lei Meng, Zengqi Xie, Harald Ade, He Yan, Yongfang Li|2020|Energy Environ.Sci.|13|5028|doi:10.1039/D0EE02251A
DOI: 10.5517/ccdc.csd.cc25pk4l
title: CCDC 2016709: Experimental Crystal Structure Determination

description: Related Article: Xiaojun Li, Indunil Angunawela, Yuan Chang, Jiadong Zhou, He Huang, Lian Zhong, Alex Liebman-Pelaez, Chenhui Zhu, Lei Meng, Zengqi Xie, Harald Ade, He Yan, Yongfang Li|2020|Energy Environ.Sci.|13|5028|doi:10.1039/D0EE02251A
DOI: 10.5517/ccdc.csd.cc25pk5m
title: CCDC 2016710: Experimental Crystal Structure Determination

description: Related Article: Xiaojun Li, Indunil Angunawela, Yuan Chang, Jiadong Zhou, He Huang, Lian Zhong, Alex Liebman-Pelaez, Chenhui Zhu, Lei Meng, Zengqi Xie, Harald Ade, He Yan, Yongfang Li|2020|Energy Environ.Sci.|13|5028|doi:10.1039/D0EE02251A
DOI: 10.5517/ccdc.csd.cc25pk6n
title: CCDC 2016711: Experimental Crystal Structure Determination

description: Related Article: Xiaojun Li, Indunil Angunawela, Yuan Chang, Jiadong Zhou, He Huang, Lian Zhong, Alex Liebman-Pelaez, Chenhui Zhu, Lei Meng, Zengqi Xie, Harald Ade, He Yan, Yongfang Li|2020|Energy Environ.Sci.|13|5028|doi:10.1039/D0EE02251A
DOI: 10.6084/m9.figshare.13490349
title: Weighted Connectivity Matrix

description: This matrix contains the connectivity information between neighborhoods of Urla, Izmir. -1 indicates no connection while any other positive value indicates the distance in kilometers.
DOI: 10.6084/m9.figshare.13490349.v1
title: Weighted Connectivity Matrix

description: This matrix contains the connectivity information between neighborhoods of Urla, Izmir. -1 indicates no connection while any other positive value indicates the distance in kilometers.
DOI: 10.6084/m9.figshare.13490352
title: Neighborhood Parameters

description: This file contains the neighborhood information of Urla, Izmir. The values acquired for H and FS distances are not utilized in computation as they are default values provided. Once a proper value is computed in the application, these are overridden.
DOI: 10.6084/m9.figshare.13490352.v1
title: Neighborhood Parameters

description: This file contains the neighborhood information of Urla, Izmir. The values acquired for H and FS distances are not utilized in computation as they are default values provided. Once a proper value is computed in the application, these are overridden.
DOI: 10.6084/m9.figshare.13490355.v1
title: Emergency Gathering Zones

description: This file contains the emergency gathering zone information of Urla, Izmir.
DOI: 10.6084/m9.figshare.13490355
title: Emergency Gathering Zones

description: This file contains the emergency gathering zone information of Urla, Izmir.
DOI: 10.6084/m9.figshare.13490346
title: Supplementary material-AGU2020 abstract Mineral Precipitation from Soda Brines, Lake Magadi, Rift Valley (Kenya)

description: supplementary data for AGU 2020 fall meeting abstract entitled "Mineral Precipitation from Soda Brines, Lake Magadi, Rift Valley (Kenya)"
DOI: 10.6084/m9.figshare.13490346.v1
title: Supplementary material-AGU2020 abstract Mineral Precipitation from Soda Brines, Lake Magadi, Rift Valley (Kenya)

description: supplementary data for AGU 2020 fall meeting abstract entitled "Mineral Precipitation from Soda Brines, Lake Magadi, Rift Valley (Kenya)"
DOI: 10.3886/e112957v1-73060
title: Replication data for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation

description: This paper evaluates changes in fuel procurement practices by coal and gas-fired power plants in the United States following state-level legislation that ended cost-of-service regulation of electricity generation. I find that deregulated plants substantially reduce the price paid for coal (but not gas) and tend to employ less capital-intensive sulfur abatement techniques relative to matched plants that were not subject to any regulatory change. Deregulation also led to a shift toward more productive coal mines. I show how these results lend support to theories of asymmetric information, capital bias, and regulatory capture as important sources of regulatory distortion. (JEL L51, L71, L94, L98, Q35, Q41, Q48)
DOI: 10.21227/e67w-5w08
title: Fluorescence Microscopy Images from CBMI

description: Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures. To support the training and testing of deep learning segmentation models, we construct two fluorescence image datasets, ER and MITO, for the ER network and the mitochondrial network, respectively. We provide manual segmentation for these organelle networks in binary masks. The datasets have been used to evaluate and compare performance of the methods proposed in our article “Heuristic Optimization of Deep Learning Models for Segmentation of Intracellular Organelle Networks”.
DOI: 10.21227/t7ge-1f38
title: Fluorescence Microscopy Images from CBMI

description: Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures. To support the training and testing of deep learning segmentation models, we construct two fluorescence image datasets, ER and MITO, for the ER network and the mitochondrial network, respectively. We provide manual segmentation for these organelle networks in binary masks. The datasets have been used to evaluate and compare performance of the methods proposed in our article “Heuristic Optimization of Deep Learning Models for Segmentation of Intracellular Organelle Networks”.
DOI: 10.6084/m9.figshare.7111214
title: Reaction times to stimuli (Tabernas Desert)

description: Description for column titles:pptnum - participant identifierhardest - optimised for easiest (0) or hardest (1) to see colourprotan - dichromat (1) or trichromat (0) representationrtime - reaction time in secondsx51keycode63 - which button was pressed (51: left shift, 63: right shift)R - stimuli colour red channelG - stimuli colour green channelB - stimuli colour blue channelprotanR - dichromat stimuli colour channel 1protanG - dichromat stimuli colour channel 2protanB - dichromat stimuli colour channel 3rcentre - vertical target location on screenccentre - horizontal target location on screencoverage - percentage of target visible (1 = 100%)foregroundimage - foreground image (unused)backroundimage - background imageflipped - was the background image horizontally flipped (0: no, 1: yes)
DOI: 10.6084/m9.figshare.7111214.v1
title: Reaction times to stimuli (Tabernas Desert)

description: Description for column titles:pptnum - participant identifierhardest - optimised for easiest (0) or hardest (1) to see colourprotan - dichromat (1) or trichromat (0) representationrtime - reaction time in secondsx51keycode63 - which button was pressed (51: left shift, 63: right shift)R - stimuli colour red channelG - stimuli colour green channelB - stimuli colour blue channelprotanR - dichromat stimuli colour channel 1protanG - dichromat stimuli colour channel 2protanB - dichromat stimuli colour channel 3rcentre - vertical target location on screenccentre - horizontal target location on screencoverage - percentage of target visible (1 = 100%)foregroundimage - foreground image (unused)backroundimage - background imageflipped - was the background image horizontally flipped (0: no, 1: yes)
DOI: 10.6084/m9.figshare.7111217
title: Reaction times to stimuli (Leigh Woods)

description: Description for column titles:pptnum - participant identifierhardest - optimised for easiest (0) or hardest (1) to see colourprotan - dichromat (1) or trichromat (0) representationrtime - reaction time in secondsx51keycode63 - which button was pressed (51: left shift, 63: right shift)R - stimuli colour red channelG - stimuli colour green channelB - stimuli colour blue channelprotanR - dichromat stimuli colour channel 1protanG - dichromat stimuli colour channel 2protanB - dichromat stimuli colour channel 3rcentre - vertical target location on screenccentre - horizontal target location on screencoverage - percentage of target visible (1 = 100%)foregroundimage - foreground image (unused)backroundimage - background imageflipped - was the background image horizontally flipped (0: no, 1: yes)
DOI: 10.25919/w4gf-fw14
title: Parkes observations for project P1078 semester 2020OCTS_01

description: Black-Widow (BW) millisecond pulsars (MSPs) form a special subclass of MSPs having a low mass companion (~0.01-0.05 solar mass) in compact binary orbit with orbital period &lt; 10 hours. Material blown from the companion by relativistic pulsar wind causes frequency dependent eclipses of the pulsar radio emission. Among these known eclipsing BW MSPs we have chosen three relatively bright objects which show eclipses at relatively higher radio frequencies. We request 30 hours observing time to observe these pulsars with Parkes UWL receiver in 700-4032 MHz to achieve the following science goals, i) With wideband observations of these pulsars we will apply a technique of modelling the eclipse phase spectra (already demonstrated by us) in optically thick to thin transition state (optical depth ~1), which will in turn allow to directly probe to the eclipse material. ii) Simultaneous polarisation observations will allow us to predict the magnetic field strength in the eclipse boundaries through measurements of the rotation measure . Derived magnetic field strengths at the eclipse boundaries will be compared with the values from modelling the eclipse phase spectra. This will allow us to solve the existing puzzle of few orders of magnitude lower magnetic field strength at eclipse boundaries to withstand the pulsar wind ram pressure. iii) Modelling the spectra at different orbital phases over the eclipse will allow us to probe the eclipse material properties and eclipse mechanism at different orbital phases, which is a new way to probe the pulsar and stellar wind interaction.
DOI: 10.25919/10sx-hx81
title: Parkes observations for project P1056 semester 2020OCTS_01

description: MeerTRAP is a project that performs real-time, commensal searches for fast radio transients using the MeerKAT telescope in South Africa. It has thus far led to the discovery of five new Galactic fast radio transients, most likely Rotating Radio Transient pulsars (RRATs), with modest amounts of time on sky and we expect to discover many more. We have already carried out successful observations of one of these sources with the Parkes UWL receiver (P1056), thus proving its utility in follow-up timing observations of MeerTRAP discoveries. We therefore request search-mode observations of all five sources aswell as provision for another five that we expect to discover before the start of the 2020OCT semester. The Parkes observations will be essential for determining their timing properties, such their as periods and period derivatives, and will elucidate the nature of these sources through their polarisation, emission and spectral properties across the wide bandwidth of the UWLreceiver. This will allow us to identify their place among the known pulsar population and will be highly valuable input to understand the extent of the RRAT population and pulsar emission behaviour.
DOI: 10.6084/m9.figshare.13490399.v1
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490405.v1
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490399
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490405
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490414.v1
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490408.v1
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490411.v1
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490414
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490408
title: Supplementary data on ant-task interactions in colony a-e from Bipartite network analysis of ant-task associations reveals task groups and absence of colonial daily activity

description: Each row represents each ant individual. Note that the first row indicates the header of the data. The numbers 1-24 in the header represent time 1-8 in day 1, time 1-8 in day 2, and time 1-8 day 3. Each cell indicates a task that the individual executed at that time. The age column represents the age (days) of individuals. As data on a queen is available in colony b and d, we described whether the individual was queen (T) or not (F) in the last column of the colonies.
DOI: 10.6084/m9.figshare.13490417.v1
title: Detailed results of the alpha-diversity analysis from Microbiota dysbiosis in honeybee (<i>Apis mellifera</i> L<i>.</i>) larvae infected with brood diseases and foraging bees exposed to agrochemicals

description: American foulbrood (AFB) disease and chalkbrood disease (CBD) are important bacterial and fungal diseases, respectively, that affect honeybee broods. Exposure to agrochemicals is an abiotic stressor that potentially weakens honeybee colonies. Gut microflora alterations in adult honeybees associated with these biotic and abiotic factors have been investigated. However, microbial compositions in AFB- and CBD-infected larvae and the profile of whole-body microbiota in foraging bees exposed to agrochemicals have not been fully studied. In this study, bacterial and fungal communities in healthy and diseased (AFB/CBD) honeybee larvae were characterized by amplicon sequencing of bacterial 16S rRNA gene and fungal internal transcribed spacer1 region, respectively. The bacterial and fungal communities in disordered foraging bees poisoned by agrochemicals were analysed. Our results revealed that healthy larvae were significantly enriched in bacterial genera <i>Lactobacillus</i> and <i>Stenotrophomonas</i> and the fungal genera <i>Alternaria</i> and <i>Aspergillus</i>. The enrichment of these microorganisms, which had antagonistic activities against the etiologic agents for AFB and CBD, respectively, may protect larvae from potential infection. In disordered foraging bees, the relative abundance of bacterial genus <i>Gilliamella</i> and fungal species <i>Cystofilobasidium macerans</i> were significantly reduced, which may compromise hosts' capacities in nutrient absorption and immune defense against pathogens. Significantly higher frequency of environmentally derived fungi was observed in disordered foraging bees, which reflected the perturbed microbiota communities of hosts. Results from PICRUSt and FUNGuild analyses revealed significant differences in gene clusters of bacterial communities and fungal function profiles. Overall, results of this study provide references for the composition and function of microbial communities in AFB- and CBD-infected honeybee larvae and foraging bees exposed to agrochemicals.