cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2911s6
title: CCDC 2116177: Experimental Crystal Structure Determination

description: Related Article: Mariia V. Kniazeva, Alexander S. Ovsyannikov, Aida I. Samigullina, Daut R. Islamov, Aidar T. Gubaidullin, Pavel V. Dorovatovskii, Vladimir A. Lazarenko, Svetlana E. Solovieva, Igor S. Antipin, Sylvie Ferlay|2022|CrystEngComm|24|628|doi:10.1039/D1CE01482J
description: Related Article: Sylvie Ferlay|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2911t7
title: CCDC 2116178: Experimental Crystal Structure Determination

description: Related Article: Mariia V. Kniazeva, Alexander S. Ovsyannikov, Aida I. Samigullina, Daut R. Islamov, Aidar T. Gubaidullin, Pavel V. Dorovatovskii, Vladimir A. Lazarenko, Svetlana E. Solovieva, Igor S. Antipin, Sylvie Ferlay|2022|CrystEngComm|24|628|doi:10.1039/D1CE01482J
description: Related Article: Sylvie Ferlay|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29129r
title: CCDC 2116193: Experimental Crystal Structure Determination

description: Related Article: Fumio Sanda|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.19159484
title: The functional annotation, gene structure, and differentially expressed transcript analyses of the full-length transcriptome of Japanese iris

description: Japanese iris (Iris japonica) is a popular perennial ornamental that originated in China; it has a long display period and remains green outdoors throughout the year. These dataset are the functional annotation, gene structure, and differentially expressed transcript analyses of the transcriptome of Japanese iris by hybrid RNA sequencing strategy.<br>
DOI: 10.6084/m9.figshare.19159484.v2
title: The functional annotation, gene structure, and differentially expressed transcript analyses of the full-length transcriptome of Japanese iris

description: Japanese iris (Iris japonica) is a popular perennial ornamental that originated in China; it has a long display period and remains green outdoors throughout the year. These dataset are the functional annotation, gene structure, and differentially expressed transcript analyses of the transcriptome of Japanese iris by hybrid RNA sequencing strategy.<br>
DOI: 10.6084/m9.figshare.19159484.v1
title: The functional annotation, gene structure, and DET analyses of the full-length transcriptome of Japanese iris

description: Japanese iris (<i>Iris japonica</i>) is a popular perennial ornamental that originated in China; it has a long display period and remains green outdoors throughout the year. These dataset are the functional annotation, gene structure, and differentially expressed gene analyses of the transcriptome of Japanese iris by hybrid RNA sequencing strategy.
DOI: 10.5281/zenodo.5602109
title: DevOps Education: An Interview Study of Challenges and Recommendations

description: Over the last years, the software industry has adopted several DevOps technologies related to practices such as continuous integration and continuous delivery. The high demand for DevOps practitioners requires non-trivial adjustments in traditional software engineering courses and educational methodologies. This work presents an interview study with 14 DevOps educators from different universities and countries, aiming to identify the main challenges and recommendations for DevOps teaching. Our study identified 83 challenges, 185 recommendations, and several association links and conflicts between them. Our findings can help educators plan, execute and evaluate DevOps courses. They also highlight several opportunities for researchers to propose new methods and tools for teaching DevOps.
DOI: 10.6084/m9.figshare.19154378
title: Sadaphal_et_al_2022_Data

description: These data pertain to the main findings in the manuscript “Sensorimotor learning in response to errors in task performance” by Sadaphal et al. (2022). The data is arranged in three different sheets, corresponding to the three experiments of the study.
DOI: 10.5281/zenodo.6021681
title: An unenhanced abdominal CT dataset for kidney and kidney stone segmentation

description: 260 unenhanced abdominal CT scans from 2018 to 2020 were collected from the First Affiliated Hospital of Guangzhou Medical University. After data desensitization and data cleaning, the clean NIfTI image of abdominal CT scans was annotated based on clinical requirements and image segmentation needs. Two labels (“kidney” and “kidney stone”) were considered for masking and labeling. The 3D Slicer tool was used to mask the CT scans. The data annotations process comprised three stages. Data annotation was performed under the guidance of a professional urologist.
DOI: 10.6084/m9.figshare.18142718.v12
title: gene

description: Transcriptomics was employed to analyze and compare gene expression levels of different groups. It showed that the expressions of genes (Cyp1a1, Noct, and TUBB6) related to liver injury were regulated by SBS.
DOI: 10.6084/m9.figshare.19158421.v2
title: gene

description: Transcriptomics was employed to analyze and compare gene expression levels of different groups. It showed that the expressions of genes (Cyp1a1, Noct, and TUBB6) related to liver injury were regulated by SBS.
DOI: 10.5517/ccdc.csd.cc29170m
title: CCDC 2116339: Experimental Crystal Structure Determination

description: Related Article: Chenchen zhang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2917sd
title: CCDC 2116363: Experimental Crystal Structure Determination

description: Related Article: Aswaniya  Krishnan|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28stc8
title: CCDC 2109220: Experimental Crystal Structure Determination

description: Related Article: Bing Liu|2021|CSD Communication|||
description: Related Article: Zhen-Zhen Ma, Yao Ma, Bing Liu, Ling Xu, Huan Jiao|2021|New J.Chem.|45|21350|doi:10.1039/D1NJ04480J
DOI: 10.5517/ccdc.csd.cc291jws
title: CCDC 2116645: Experimental Crystal Structure Determination

description: Related Article: Andrei V. Churakov, Mger A. Navasardyan|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc291kjg
title: CCDC 2116665: Experimental Crystal Structure Determination

description: Related Article: Paulo Carvalho Jr|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28stb7
title: CCDC 2109219: Experimental Crystal Structure Determination

description: Related Article: Bing Liu|2021|CSD Communication|||
description: Related Article: Zhen-Zhen Ma, Yao Ma, Bing Liu, Ling Xu, Huan Jiao|2021|New J.Chem.|45|21350|doi:10.1039/D1NJ04480J
DOI: 10.5517/ccdc.csd.cc291rvz
title: CCDC 2116861: Experimental Crystal Structure Determination

description: Related Article: Gregory M. Ferrence, Brian J. Boro, John F. Hansen|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.13551668
title: data.xls

description: Dates of Cora Reef on Chenhang Island<br>
DOI: 10.6084/m9.figshare.13551668.v2
title: data.xls

description: Dates of Cora Reef on Chenhang Island<br>
DOI: 10.5519/qd.mfccfwcr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2653 records)
DOI: 10.5519/qd.cfgsk70g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5519/qd.5cgiii38
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.5519/qd.grk3snjz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.6084/m9.figshare.19158146
title: Evaluation of alternatives and decision matrix.docx

description: This file contain information about expert evaluations of Azerbaijan regions according to the criteria
DOI: 10.6084/m9.figshare.19158149
title: Z-number-based-Decision-Matrix-initial-non-normalized.xlsx

description: This file contains values of criteria of alternatives expressed by Z-numbers. Z-numbers expressed by membership function, not in linguistic form. The values are in initial form, non-normalized.
DOI: 10.6084/m9.figshare.19158131
title: Criteria importance evaluation.docx

description: This file contains information about importance weights of criteria for tourism site location selection
DOI: 10.6084/m9.figshare.19158131.v1
title: Criteria importance evaluation.docx

description: This file contains information about importance weights of criteria for tourism site location selection
DOI: 10.6084/m9.figshare.19160558
title: Data of CK2

description: Table 1: The ages, Mn and Sr contents, Mn/Sr, Sr/Ca, δ<sup>18</sup>O, and <sup>87</sup>Sr/<sup>86</sup>Sr of CK2. <br>Table 2: The Sr-age and <sup>87</sup>Sr/<sup>86</sup>Sr of exposed surface from CK2.<br>
DOI: 10.6084/m9.figshare.19160558.v1
title: Data of CK2

description: Table 1: The ages, Mn and Sr contents, Mn/Sr, Sr/Ca, δ18 O, and 87Sr/86Sr of CK2. <br>Table 2: The Sr-age and 87Sr/86Sr of exposed surface from CK2.<br>
DOI: 10.6084/m9.figshare.19158161.v1
title: Prefence function.xlsx

description: This file contains the values of preference function
DOI: 10.5517/ccdc.csd.cc291tz5
title: CCDC 2116927: Experimental Crystal Structure Determination

description: Related Article: Congwang Cao|2021|CSD Communication|||
DOI: 10.48370/ofd/ixddle
title: Clavicorona pyxidata (Pers.: Fr.) Doty, 1429

description: Fungarium Macromycetes
DOI: 10.5517/ccdc.csd.cc28hkfs
title: CCDC 2100325: Experimental Crystal Structure Determination

description: Related Article: Richard Ernst, Stacey Smith, Ryan Vanderlinden|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29235p
title: CCDC 2117181: Experimental Crystal Structure Determination

description: Related Article: Takashi Kurogi, Keiichi Irifune, Kazuhiko Takai|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29236q
title: CCDC 2117182: Experimental Crystal Structure Determination

description: Related Article: Takashi Kurogi, Keiichi Irifune, Kazuhiko Takai|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29258v
title: CCDC 2117246: Experimental Crystal Structure Determination

description: Related Article: Takashi Kurogi, Kazuhiko Takai|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2925p8
title: CCDC 2117259: Experimental Crystal Structure Determination

description: Related Article: Takashi Kurogi, Kazuhiko Takai|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292d3x
title: CCDC 2117458: Experimental Crystal Structure Determination

description: Related Article: Akachukwu D. Obi, Jr. Robert J. Gilliard, Diane A. Dickie|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292fzt
title: CCDC 2117516: Experimental Crystal Structure Determination

description: Related Article: Victor     B. Rybakov, Maksim     A. Boichenko, Vitaliy    V. Shorokhov, Sergei     S. Zhokhov, Igor       V. Trushkov, Olga       A. Ivanova|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292g73
title: CCDC 2117524: Experimental Crystal Structure Determination

description: Related Article: Aamer Saeed|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292jfc
title: CCDC 2117592: Experimental Crystal Structure Determination

description: Related Article: Sam C. Brydon, Jonathan M. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292jsq
title: CCDC 2117603: Experimental Crystal Structure Determination

description: Related Article: Sam C. Brydon, Jonathan M. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292kfd
title: CCDC 2117623: Experimental Crystal Structure Determination

description: Related Article: Evgeniya D. Novikova, Alena D. Gassan, Anton A. Ivanov, Yuri A. Vorotnikov, Michael A. Shestopalov|2022|New J.Chem.|46|2218|doi:10.1039/D1NJ05802A
DOI: 10.5517/ccdc.csd.cc292kgf
title: CCDC 2117624: Experimental Crystal Structure Determination

description: Related Article: Evgeniya D. Novikova, Alena D. Gassan, Anton A. Ivanov, Yuri A. Vorotnikov, Michael A. Shestopalov|2022|New J.Chem.|46|2218|doi:10.1039/D1NJ05802A
DOI: 10.5517/ccdc.csd.cc292qy2
title: CCDC 2117794: Experimental Crystal Structure Determination

description: Related Article: Danielle L. Gray, Toby J. Woods, Scott E. Denmark, Jesse, L. Panger|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc292wy7
title: CCDC 2117949: Experimental Crystal Structure Determination

description: Related Article: Atheer M. Madlool and Joseph A. Wright|2021|CSD Communication|||
DOI: 10.25345/c54875
title: MassIVE MSV000088820 - glycomic and glycoproteomic analysis of human thyroglobulin
title: This data set contains glycomic and glycoproteomic raw data files in the mzXML format.
DOI: 10.48370/ofd/vf0mor
title: Clavicorona pyxidata (Pers.: Fr.) Doty, 1435

description: Fungarium Macromycetes
DOI: 10.48370/ofd/qyj7tu
title: Clavicorona pyxidata (Pers.: Fr.) Doty, 1621

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6042076
title: Revival oscillations in a closed bromate-1,4-cyclohexanedione-acid system with ferroin: dataset

description: Simulation data set of revival oscillations in a closed bromate‐1,4‐cyclohexanedione‐acid system with ferroin. File dataset_10.5281_zenodo.6042076.zip, MD5SUM 8d9286a854c7afb9f3c873edc9916a95, size 64 MB.
description: {"references": ["P. Kettunen, D.S. Huh, I. Szalai, T. Yamaguchi, Adv. Theory Simul., 2021, 4, pp. 202100277, https://doi.org/10.1002/adts.202100277"]}
DOI: 10.5281/zenodo.6042075
title: Revival oscillations in a closed bromate-1,4-cyclohexanedione-acid system with ferroin: dataset

description: Simulation data set of revival oscillations in a closed bromate‐1,4‐cyclohexanedione‐acid system with ferroin. File dataset_10.5281_zenodo.6042076.zip, MD5SUM 8d9286a854c7afb9f3c873edc9916a95, size 64 MB.
description: {"references": ["P. Kettunen, D.S. Huh, I. Szalai, T. Yamaguchi, Adv. Theory Simul., 2021, 4, pp. 202100277, https://doi.org/10.1002/adts.202100277"]}
DOI: 10.48370/ofd/3ho8wb
title: Clavicorona pyxidata (Pers.: Fr.) Doty, 1700

description: Fungarium Macromycetes
DOI: 10.48370/ofd/0iwdg8
title: Clavicorona pyxidata (Pers.: Fr.) Doty, 1703

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6042340
title: Data for: Trap type affects dung beetle taxonomic and functional diversity in Bornean tropical forests

description: Dung beetle community composition data. Data was collected using either dung-baited pitfall traps or flight interception traps. Each row represents one trap, with the author/study information, name of study site, sampling period, trap type and habitat type. Dung beetle species and their abundances are listed. See "metadata" tab for more details. Paper abstract: Baited pitfall traps (BPTs) and flight intercept traps (FITs) are the most common methods employed for sampling dung beetle communities. These methods vary in their efficacy and are affected by factors such as the bait types used and the dispersal abilities of different dung beetle species. We present the first quantitative comparison of the taxonomic and functional diversity, and community composition of dung beetles caught in BPTs and FITs in Bornean tropical forests. We show that BPTs and FITs captured complementary communities with different functional traits, and that BPTs captured more functionally diverse communities. We therefore recommend using a combination of both baited BPTs and FITs for studies assessing the composition of dung beetles across habitat types. Our results also highlight that it is important to consider how trap type affects the trait composition of communities when relating dung beetle communities and functional traits to ecological functioning. We suggest modifications to FITs based on the design of harp traps to increase their effectiveness in capturing larger-bodied beetles.
description: Version 2 notes: Updated taxa details.
DOI: 10.5281/zenodo.5530158
title: Data for: Trap type affects dung beetle taxonomic and functional diversity in Bornean tropical forests

description: Dung beetle community composition data. Data was collected using either dung-baited pitfall traps or flight interception traps. Each row represents one trap, with the author/study information, name of study site, sampling period, trap type and habitat type. Dung beetle species and their abundances are listed. See "metadata" tab for more details. Paper abstract: Baited pitfall traps (BPTs) and flight intercept traps (FITs) are the most common methods employed for sampling dung beetle communities. These methods vary in their efficacy and are affected by factors such as the bait types used and the dispersal abilities of different dung beetle species. We present the first quantitative comparison of the taxonomic and functional diversity, and community composition of dung beetles caught in BPTs and FITs in Bornean tropical forests. We show that BPTs and FITs captured complementary communities with different functional traits, and that BPTs captured more functionally diverse communities. We therefore recommend using a combination of both baited BPTs and FITs for studies assessing the composition of dung beetles across habitat types. Our results also highlight that it is important to consider how trap type affects the trait composition of communities when relating dung beetle communities and functional traits to ecological functioning. We suggest modifications to FITs based on the design of harp traps to increase their effectiveness in capturing larger-bodied beetles.
description: Version 2 notes: Updated taxa details.
DOI: 10.25403/upresearchdata.19100384
title: Self-regulated learning strategies for first year chemistry students during Covid-19

description: This datasets contains raw data on the first-year chemistry students responses to items that make up self-regulated learning strategies.SPSS was used for analysing data collected.
DOI: 10.25403/upresearchdata.19100384.v1
title: Self-regulated learning strategies for first year chemistry students during Covid-19

description: This datasets contains raw data on the first-year chemistry students responses to items that make up self-regulated learning strategies.SPSS was used for analysing data collected.
DOI: 10.6084/m9.figshare.15156042
title: Context-aware movement analysis in ecology: a systematic review

description: Research on movement has increased over the past two decades, particularly in movement ecology, which studies animal movement. Taking context into consideration when analysing movement can contribute towards the understanding and prediction of behaviour. The only way for studying animal movement decision-making and their responses to environmental conditions is through analysis of ancillary data that represent conditions where the animal moves. In GIScience this is called Context-Aware Movement Analysis (CAMA). As ecology becomes more data-oriented, we believe that there is a need to both review what CAMA means for ecology in methodological terms and to provide reliable definitions that will bridge the divide between the content-centric and data-centric analytical frameworks. We reviewed the literature and proposed a definition for context, develop a taxonomy for contextual variables in movement ecology and discuss research gaps and open challenges in the science of movement more broadly. We found that the main research for CAMA in the coming years should focus on: 1) integration of contextual data and movement data in space and time, 2) tools that account for the temporal dynamics of contextual data, 3) ways to represent contextualized movement data, and 4) approaches to extract meaningful information from contextualized data.
DOI: 10.6084/m9.figshare.15156042.v1
title: Context-aware movement analysis in ecology: a systematic review

description: Research on movement has increased over the past two decades, particularly in movement ecology, which studies animal movement. Taking context into consideration when analysing movement can contribute towards the understanding and prediction of behaviour. The only way for studying animal movement decision-making and their responses to environmental conditions is through analysis of ancillary data that represent conditions where the animal moves. In GIScience this is called Context-Aware Movement Analysis (CAMA). As ecology becomes more data-oriented, we believe that there is a need to both review what CAMA means for ecology in methodological terms and to provide reliable definitions that will bridge the divide between the content-centric and data-centric analytical frameworks. We reviewed the literature and proposed a definition for context, develop a taxonomy for contextual variables in movement ecology and discuss research gaps and open challenges in the science of movement more broadly. We found that the main research for CAMA in the coming years should focus on: 1) integration of contextual data and movement data in space and time, 2) tools that account for the temporal dynamics of contextual data, 3) ways to represent contextualized movement data, and 4) approaches to extract meaningful information from contextualized data.
DOI: 10.6084/m9.figshare.19160585
title: Supplementary Material for: Comparison of Body Fluid Volumes Determined by Kinetic Modeling and by Bioimpedance Spectroscopy

description: <b><i>Introduction:</i></b> The bioimpedance spectroscopy (BIS) method is used in individual patients requiring body fluid volume measurement. In a hemodialysis facility, however, regular screening of body fluid volumes is also necessary. Such screening, by kinetic modeling, may become possible by calculating distribution volumes of urea and uric acid from regular blood test results. <b><i>Objective:</i></b> The aim is to compare uric acid distribution volumes with BIS-extracellular volume, urea distribution volume with BIS-total body water, and difference between urea and uric acid distribution volumes with BIS-intracellular volume. <b><i>Methods:</i></b> We reanalyzed stored blood test data of 53 hemodialysis patients obtained together with BIS data of the same patients in our previous study. <b><i>Results:</i></b> Significant correlations were found between urea distribution volume and total body water predicted by the BIS method, between uric acid distribution volume and extracellular volume predicted by the BIS method, and between the difference of uric acid distribution volume from urea distribution volume and intracellular volume predicted by the BIS method. In Bland-Altman analysis, comparison of each pair showed no systematic error. The mean difference between each pair was minimal. <b><i>Conclusion:</i></b> Fluid volumes in different body compartments can be estimated by kinetic modeling as well as by the BIS method.
DOI: 10.6084/m9.figshare.19160585.v1
title: Supplementary Material for: Comparison of Body Fluid Volumes Determined by Kinetic Modeling and by Bioimpedance Spectroscopy

description: <b><i>Introduction:</i></b> The bioimpedance spectroscopy (BIS) method is used in individual patients requiring body fluid volume measurement. In a hemodialysis facility, however, regular screening of body fluid volumes is also necessary. Such screening, by kinetic modeling, may become possible by calculating distribution volumes of urea and uric acid from regular blood test results. <b><i>Objective:</i></b> The aim is to compare uric acid distribution volumes with BIS-extracellular volume, urea distribution volume with BIS-total body water, and difference between urea and uric acid distribution volumes with BIS-intracellular volume. <b><i>Methods:</i></b> We reanalyzed stored blood test data of 53 hemodialysis patients obtained together with BIS data of the same patients in our previous study. <b><i>Results:</i></b> Significant correlations were found between urea distribution volume and total body water predicted by the BIS method, between uric acid distribution volume and extracellular volume predicted by the BIS method, and between the difference of uric acid distribution volume from urea distribution volume and intracellular volume predicted by the BIS method. In Bland-Altman analysis, comparison of each pair showed no systematic error. The mean difference between each pair was minimal. <b><i>Conclusion:</i></b> Fluid volumes in different body compartments can be estimated by kinetic modeling as well as by the BIS method.