cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24434185
title: Supplementary Material for: The applicability of scoring calyculin A-induced premature chromosome condensation (PCC) objects for dose assessment including for radiotherapy patients

description: As an extension to a previous study, a linear calibration curve covering doses from 0 to 10 Gy was constructed and evaluated in the present study using calyculin A-induced premature chromosome condensation (PCC) by scoring excess PCC objects. The main aim of this study was to assess the applicability of this PCC assay for doses below 2 Gy that are critical for triage categorisation. Two separate blind tests involving a total of 6 doses were carried out. 4 out of 6 dose estimates were within the 95% confidence limits (95%CL) with the other 2 just outside. In addition, blood samples from five cancer patients undergoing external beam radiotherapy (RT) were also analysed and the results showed whole-body dose estimates statistically comparable to the dicentric chromosome assay (DCA) results. This is the first time that calyculin A-induced PCC was used to analyse clinical samples by scoring excess objects. Although dose estimates for the pre-RT patient samples were found to be significantly higher than the mean value for the healthy donors and were also significantly higher than those obtained using DCA, all these pre-treatment patients fell into the same category as those who may have received a low dose (&lt; 1 Gy) and do not require immediate medical care during emergency triage. Additionally, for radiological accidents with unknown exposure scenario, PCC objects and rings can be scored in parallel for the assessment of both low and high dose exposures. In conclusion, scoring excess objects using calyculin A-induced PCC is confirmed to be another potential biodosimetry tool in radiological emergency particularly in mass casualty scenarios even though the data need to be interpreted with caution when cancer patients are among the casualties.
DOI: 10.6084/m9.figshare.24434185.v1
title: Supplementary Material for: The applicability of scoring calyculin A-induced premature chromosome condensation (PCC) objects for dose assessment including for radiotherapy patients

description: As an extension to a previous study, a linear calibration curve covering doses from 0 to 10 Gy was constructed and evaluated in the present study using calyculin A-induced premature chromosome condensation (PCC) by scoring excess PCC objects. The main aim of this study was to assess the applicability of this PCC assay for doses below 2 Gy that are critical for triage categorisation. Two separate blind tests involving a total of 6 doses were carried out. 4 out of 6 dose estimates were within the 95% confidence limits (95%CL) with the other 2 just outside. In addition, blood samples from five cancer patients undergoing external beam radiotherapy (RT) were also analysed and the results showed whole-body dose estimates statistically comparable to the dicentric chromosome assay (DCA) results. This is the first time that calyculin A-induced PCC was used to analyse clinical samples by scoring excess objects. Although dose estimates for the pre-RT patient samples were found to be significantly higher than the mean value for the healthy donors and were also significantly higher than those obtained using DCA, all these pre-treatment patients fell into the same category as those who may have received a low dose (&lt; 1 Gy) and do not require immediate medical care during emergency triage. Additionally, for radiological accidents with unknown exposure scenario, PCC objects and rings can be scored in parallel for the assessment of both low and high dose exposures. In conclusion, scoring excess objects using calyculin A-induced PCC is confirmed to be another potential biodosimetry tool in radiological emergency particularly in mass casualty scenarios even though the data need to be interpreted with caution when cancer patients are among the casualties.
DOI: 10.5281/zenodo.7690229
title: Measurement report: Brown Carbon Aerosol in Polluted Urban Air of North China Plain: Day-night Differences in the Chromophores and Optical Properties

description: Drawing data set of Yuquan Gong et al article
DOI: 10.5281/zenodo.7690230
title: Measurement report: Brown Carbon Aerosol in Polluted Urban Air of North China Plain: Day-night Differences in the Chromophores and Optical Properties

description: Drawing data set of Yuquan Gong et al article
DOI: 10.5281/zenodo.10035574
title: Tunable multi-cycle terahertz pulse generation from a spintronic emitter

description: Data for Figures 2-4.
DOI: 10.5281/zenodo.10035573
title: Tunable multi-cycle terahertz pulse generation from a spintronic emitter

description: Data for Figures 2-4.
DOI: 10.5281/zenodo.7776744
title: A Taxonomic Information System for Nereididae (Annelida): morphological datasets supporting description, interactive identification and phylogenetic analysis of the family

description: Nereididae (Polychaeta)–A DELTA database of genera, and Australian species
Robin S. Wilson1,2 , Christopher J. Glasby3,4 , Torkild Bakken5
 
1 Sciences Department, Museums Victoria Research Institute, Museums Victoria, GPO Box 666 Melbourne, Victoria 3001, Australia
2 The University of Melbourne, Melbourne, Victoria 3010, Australia
3 Museum and Art Gallery Northern Territory, PO Box 4646, Darwin NT 0801, Australia
4 Australian Museum Research Institute, Australian Museum, 1 William Street, Sydney, NSW 2010, Australia
5 Norwegian University of Science and Technology, NTNU University Museum, NO-7491 Trondheim, Norway
 
Corresponding author: Robin S. Wilson (rwilson@museum.vic.gov.au)
Scope
This Nereididae (Annelida) Delta database is the work of Robin Wilson, Torkild Bakken & Chris Glasby and was used to generate sections of Wilson et al. (2023a).  Status of genera and nominal subfamily placements follow WoRMS https://www.marinespecies.org/polychaeta/.
The version distributed here includes only Nereididae genera and is part of the Wilson et al. (2023b) Zenodo repository which also includes other outputs: Nexus files as .nex and natural language output of taxon descriptions and character lists as .rtf files.   
Updates including fixes to any errors found, and including new taxa and new taxonomic revisions, will be uploaded to Zenodo as new versions (the doi above will resolve to the most recent version). We intend that future versions will include all Nereididae species known from Australia; and all Nereididae species known from bathyal-abyssal depths (~2,000 m and deeper).
This  repository contains an interactive key using the Delta Intkey software version by the Atlas of Living Australia (2014) but not yet that of Dallwitz (2020).
References
Atlas of Living Australia (2014) Open-delta.  A Java port of the Delta - DEscription Language for TAxonomy suite of applications into Java. Available from: https://github.com/AtlasOfLivingAustralia/open-delta (July 12, 2023).
Dallwitz MJ (2020) Installing and running the programs of the DELTA System. Reports, Division of Entomology CSIRO Australia. Available from: https://www.delta-intkey.com/www/programs.htm (January 31, 2023).
Wilson RS, Glasby CJ, Bakken T (2023a) The Nereididae (Annelida) – diagnoses, descriptions, and a key to the genera. ZooKeys 1182: 35–134. https://doi.org/10.3897/zookeys.1182.104258
Wilson RS, Bakken T, Glasby CJ (2023b) A Taxonomic Information System for Nereididae (Annelida): morphological datasets supporting description, interactive identification and phylogenetic analysis of the family. https://doi.org/10.5281/zenodo.7776745
description: This study was supported in part by Australian Biological Resources Study Research Grant RG18-21
DOI: 10.5281/zenodo.7776745
title: A Taxonomic Information System for Nereididae (Annelida): morphological datasets supporting description, interactive identification and phylogenetic analysis of the family

description: Nereididae (Polychaeta)–A DELTA database of genera, and Australian species
Robin S. Wilson1,2 , Christopher J. Glasby3,4 , Torkild Bakken5
 
1 Sciences Department, Museums Victoria Research Institute, Museums Victoria, GPO Box 666 Melbourne, Victoria 3001, Australia
2 The University of Melbourne, Melbourne, Victoria 3010, Australia
3 Museum and Art Gallery Northern Territory, PO Box 4646, Darwin NT 0801, Australia
4 Australian Museum Research Institute, Australian Museum, 1 William Street, Sydney, NSW 2010, Australia
5 Norwegian University of Science and Technology, NTNU University Museum, NO-7491 Trondheim, Norway
 
Corresponding author: Robin S. Wilson (rwilson@museum.vic.gov.au)
Scope
This Nereididae (Annelida) Delta database is the work of Robin Wilson, Torkild Bakken & Chris Glasby and was used to generate sections of Wilson et al. (2023a).  Status of genera and nominal subfamily placements follow WoRMS https://www.marinespecies.org/polychaeta/.
The version distributed here includes only Nereididae genera and is part of the Wilson et al. (2023b) Zenodo repository which also includes other outputs: Nexus files as .nex and natural language output of taxon descriptions and character lists as .rtf files.   
Updates including fixes to any errors found, and including new taxa and new taxonomic revisions, will be uploaded to Zenodo as new versions (the doi above will resolve to the most recent version). We intend that future versions will include all Nereididae species known from Australia; and all Nereididae species known from bathyal-abyssal depths (~2,000 m and deeper).
This  repository contains an interactive key using the Delta Intkey software version by the Atlas of Living Australia (2014) but not yet that of Dallwitz (2020).
References
Atlas of Living Australia (2014) Open-delta.  A Java port of the Delta - DEscription Language for TAxonomy suite of applications into Java. Available from: https://github.com/AtlasOfLivingAustralia/open-delta (July 12, 2023).
Dallwitz MJ (2020) Installing and running the programs of the DELTA System. Reports, Division of Entomology CSIRO Australia. Available from: https://www.delta-intkey.com/www/programs.htm (January 31, 2023).
Wilson RS, Glasby CJ, Bakken T (2023a) The Nereididae (Annelida) – diagnoses, descriptions, and a key to the genera. ZooKeys 1182: 35–134. https://doi.org/10.3897/zookeys.1182.104258
Wilson RS, Bakken T, Glasby CJ (2023b) A Taxonomic Information System for Nereididae (Annelida): morphological datasets supporting description, interactive identification and phylogenetic analysis of the family. https://doi.org/10.5281/zenodo.7776745
description: This study was supported in part by Australian Biological Resources Study Research Grant RG18-21
DOI: 10.5281/zenodo.8425345
title: Results of Demo Scenarios Analysis Survey

description: Results of the Demo Scenario Analysis for each of the FEDECOM project pilot sites
DOI: 10.5281/zenodo.10039532
title: Template and Results of Demo Scenarios Analysis Survey

description: Results of the Demo Scenario Analysis for each of the FEDECOM project pilot sites
DOI: 10.5281/zenodo.8425344
title: Template and Results of Demo Scenarios Analysis Survey

description: Results of the Demo Scenario Analysis for each of the FEDECOM project pilot sites
DOI: 10.6084/m9.figshare.24434197
title: Fathers’ views on coping with the stress of parenting.xls

description: Mental health literacy (MHL) is related to mental health help-seeking, both of which remain understudied in fathers compared to mothers. The current study examined the relationship between paternal MHL and emotional distress, as well as fathers' views on mental health help-seeking and barriers to accessing care. It was hypothesised that: (1) those who experience higher levels of distress would exhibit lower levels of MHL; and (2) clear symptoms of depression (typical depression) vignettes would be more accurately identified, compared to masked depression. Participants (N = 129) residing in NZ or Australia completed an online survey, the Depression, Anxiety, and Stress Scale (DASS-21) and answered two open-ended questions about their perceptions of barriers to help seeking and how they would seek help if experiencing similar situations as described in the vignettes. The first hypothesis was partially supported. Although MHL was not correlated with levels of depression or anxiety, an elevated level of stress was associated with interpreting vignettes as indicating mental health problems, regardless of the accuracy of this interpretation. The second hypothesis was supported: fathers were significantly more likely to correctly identify clear symptoms of depression than masked depression. Fathers described several internal and external barriers to help-seeking and imagined utilising help from a variety of informal and professional sources. Findings suggest that stress is uniquely important to fathers’ MHL; however, further research is needed to understand the impact of other factors on paternal MHL. In addition, current professional support for fathers may be perceived as inadequate. These findings have important implications for health professionals’ screening for paternal mental illness.
DOI: 10.6084/m9.figshare.24434197.v1
title: Fathers’ views on coping with the stress of parenting.xls

description: Mental health literacy (MHL) is related to mental health help-seeking, both of which remain understudied in fathers compared to mothers. The current study examined the relationship between paternal MHL and emotional distress, as well as fathers' views on mental health help-seeking and barriers to accessing care. It was hypothesised that: (1) those who experience higher levels of distress would exhibit lower levels of MHL; and (2) clear symptoms of depression (typical depression) vignettes would be more accurately identified, compared to masked depression. Participants (N = 129) residing in NZ or Australia completed an online survey, the Depression, Anxiety, and Stress Scale (DASS-21) and answered two open-ended questions about their perceptions of barriers to help seeking and how they would seek help if experiencing similar situations as described in the vignettes. The first hypothesis was partially supported. Although MHL was not correlated with levels of depression or anxiety, an elevated level of stress was associated with interpreting vignettes as indicating mental health problems, regardless of the accuracy of this interpretation. The second hypothesis was supported: fathers were significantly more likely to correctly identify clear symptoms of depression than masked depression. Fathers described several internal and external barriers to help-seeking and imagined utilising help from a variety of informal and professional sources. Findings suggest that stress is uniquely important to fathers’ MHL; however, further research is needed to understand the impact of other factors on paternal MHL. In addition, current professional support for fathers may be perceived as inadequate. These findings have important implications for health professionals’ screening for paternal mental illness.
DOI: 10.5281/zenodo.10039019
title: StandardRat_Joanes_from_ChuanjunTong_part2
DOI: 10.5281/zenodo.10039018
title: StandardRat_Joanes_from_ChuanjunTong_part2
DOI: 10.5281/zenodo.3691921
title: PAN20 Authorship Analysis: Celebrity Profiling

description: Synopsis



	
Task: Given the Twitter feeds of the followers, determine the occupation, age, and gender of a celebrity.
	
Evaluation: [code]
	
Baselines: [code]
	
See the full Shared Task [here]



The datasets contain three files: a follower-feeds.ndjson as input, a labels.ndjson as output, and a celebrity-feeds.ndjson for additional study. Each file lists all celebrities as JSON objects, one per line and identified by the id key. The training dataset contains 1,920 celebrities and is balanced towards gender and occupation. The supplement dataset contains the remaining 8,265 celebrities but is not balanced in any way.


 


The follower-feeds.ndjson contains the English tweets of at least 10 followers for each celebrity, with at least 50 tweets each excluding retweets.


{"id": 1234, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}
{"id": 5678, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}


 


The celebrity-feeds.ndjson contains the Twitter timelines of the original celebrities, formatted as:


{"id": 1234, "text": ["a tweet of celebrity 1", "another tweet of celebrity 1", ...]}
{"id": 5678, "text": ["a tweet of celebrity 2", "another tweet", ...]}


 


The labels.ndjson contains the classes that should be predicted. A valid submission has to produce a labels.ndjson given the follower-feeds.ndjson and contain an entry for each id given in the input.


{"id": 1234, "occupation": "sports", "gender": "female", "birthyear": 2002}
{"id": 5678, "occupation": "professional", "gender": "male", "birthyear": 1990}


The following values are possible for each of the traits:


occupation  := {sports, performer, creator, politics}
birthyear   := {1940, ..., 1999}
gender      := {male, female}
DOI: 10.5281/zenodo.3691922
title: PAN20 Authorship Analysis: Celebrity Profiling

description: <strong>Synopsis</strong> Task: Given the Twitter feeds of the followers, determine the occupation, age, and gender of a celebrity. Evaluation: [code] Baselines: [code] See the full Shared Task [here] The datasets contain three files: a <code>follower-feeds.ndjson</code> as input, a <code>labels.ndjson</code> as output, and a <code>celebrity-feeds.ndjson</code> for additional study. Each file lists all celebrities as JSON objects, one per line and identified by the <code>id</code> key. The training dataset contains 1,920 celebrities and is balanced towards gender and occupation. The supplement dataset contains the remaining 8,265 celebrities but is not balanced in any way. The <code>follower-feeds.ndjson</code> contains the English tweets of at least 10 followers for each celebrity, with at least 50 tweets each excluding retweets. <pre><code class="language-json">{"id": 1234, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]} {"id": 5678, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}</code></pre> The <code>celebrity-feeds.ndjson</code> contains the Twitter timelines of the original celebrities, formatted as: <pre><code class="language-json">{"id": 1234, "text": ["a tweet of celebrity 1", "another tweet of celebrity 1", ...]} {"id": 5678, "text": ["a tweet of celebrity 2", "another tweet", ...]}</code></pre> The <code>labels.ndjson</code> contains the classes that should be predicted. A valid submission has to produce a <code>labels.ndjson</code> given the <code>follower-feeds.ndjson</code> and contain an entry for each <code>id</code> given in the input. <pre><code class="language-json">{"id": 1234, "occupation": "sports", "gender": "female", "birthyear": 2002} {"id": 5678, "occupation": "professional", "gender": "male", "birthyear": 1990}</code></pre> The following values are possible for each of the traits: <pre><code>occupation := {sports, performer, creator, politics} birthyear := {1940, ..., 1999} gender := {male, female}</code></pre>
DOI: 10.5281/zenodo.4461887
title: PAN20 Authorship Analysis: Celebrity Profiling

description: Synopsis



	
Task: Given the Twitter feeds of the followers, determine the occupation, age, and gender of a celebrity.
	
Evaluation: [code]
	
Baselines: [code]
	
See the full Shared Task [here]



The datasets contain three files: a follower-feeds.ndjson as input, a labels.ndjson as output, and a celebrity-feeds.ndjson for additional study. Each file lists all celebrities as JSON objects, one per line and identified by the id key. The training dataset contains 1,920 celebrities and is balanced towards gender and occupation. The supplement dataset contains the remaining 8,265 celebrities but is not balanced in any way.


 


The follower-feeds.ndjson contains the English tweets of at least 10 followers for each celebrity, with at least 50 tweets each excluding retweets.


{"id": 1234, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}
{"id": 5678, "text": [["a tweet of follower 1", "another tweet of follower 1", ...], ["a tweet of follower 2", ...], ...]}


 


The celebrity-feeds.ndjson contains the Twitter timelines of the original celebrities, formatted as:


{"id": 1234, "text": ["a tweet of celebrity 1", "another tweet of celebrity 1", ...]}
{"id": 5678, "text": ["a tweet of celebrity 2", "another tweet", ...]}


 


The labels.ndjson contains the classes that should be predicted. A valid submission has to produce a labels.ndjson given the follower-feeds.ndjson and contain an entry for each id given in the input.


{"id": 1234, "occupation": "sports", "gender": "female", "birthyear": 2002}
{"id": 5678, "occupation": "professional", "gender": "male", "birthyear": 1990}


The following values are possible for each of the traits:


occupation  := {sports, performer, creator, politics}
birthyear   := {1940, ..., 1999}
gender      := {male, female}
DOI: 10.5517/ccdc.csd.cc23851m
title: CCDC 1944259: Experimental Crystal Structure Determination

description: Related Article: Hyeon-cheol Oh, Kyeongmin Choi, Seohyun Ji, Minji Jeong Jaewoo Park|2022|U.S.Patents|||
description: Related Article: Linda Zhang, Seohyeon Jee, Jaewoo Park, Minji Jung, Dirk Wallacher, Alexandra Franz, Wonjoo Lee, Minyoung Yoon, Kyungmin Choi, Michael Hirscher, Hyunchul Oh|2019|J.Am.Chem.Soc.|141|19850|doi:10.1021/jacs.9b10268
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2973wk
title: CCDC 2122008: Experimental Crystal Structure Determination

description: Related Article: Kingson Lin, Susan E. Gueble, Ranjini K. Sundaram, Eric D. Huseman, Ranjit S. Bindra, Seth B. Herzon|2022|Science|377|502|doi:10.1126/science.abn7570
description: Related Article: Seth B. Herzon, Ranjit S. Bindra, Kingson Lin, Kyle Tarantino|2023|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2973xl
title: CCDC 2122009: Experimental Crystal Structure Determination

description: Related Article: Kingson Lin, Susan E. Gueble, Ranjini K. Sundaram, Eric D. Huseman, Ranjit S. Bindra, Seth B. Herzon|2022|Science|377|502|doi:10.1126/science.abn7570
description: Related Article: Seth B. Herzon, Ranjit S. Bindra, Kingson Lin, Kyle Tarantino|2023|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.