cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17045/sthlmuni.22555123.v1
title: Supplementary Fig. 5a | FUS localization in ALS motor neurons (c-terminal antibody)

description: This item is part of the <b>Figshare Project</b>:<br><b>Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution</b><br>From <i>Data Availability Statement</i> for the forthcoming paper in <i>Nature Communications</i> entitled:<b>Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS</b>"We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The <i>C9orf72</i>-ALS bulk RNA sequencing data was retrieved directly from the authors of the study.[Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files."--------------------------------------------[Item specific description:]FUS localization in PSC-derived motor neurons with ALS mutations.These files are confocal images analyzing FUS localisation in iPSC-derived ALS motor neurons. <br>The file format is .czi, through the ZEN software (Zeiss). Zeiss recommends using ImageJ and the ImageJ-based Fiji software package.<br>Information about the microscopy file format CZI can be found here: https://www.zeiss.com/microscopy/en/products/software/zeiss-zen/czi-image-file-format.html
DOI: 10.17045/sthlmuni.22555123
title: Supplementary Fig. 5a | FUS localization in ALS motor neurons (c-terminal antibody)

description: This item is part of the <b>Figshare Project</b>:<br><b>Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution</b><br>From <i>Data Availability Statement</i> for the forthcoming paper in <i>Nature Communications</i> entitled:<b>Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS</b>"We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The <i>C9orf72</i>-ALS bulk RNA sequencing data was retrieved directly from the authors of the study.[Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files."--------------------------------------------[Item specific description:]FUS localization in PSC-derived motor neurons with ALS mutations.These files are confocal images analyzing FUS localisation in iPSC-derived ALS motor neurons. <br>The file format is .czi, through the ZEN software (Zeiss). Zeiss recommends using ImageJ and the ImageJ-based Fiji software package.<br>Information about the microscopy file format CZI can be found here: https://www.zeiss.com/microscopy/en/products/software/zeiss-zen/czi-image-file-format.html
DOI: 10.15468/dl.nux5en
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.40770 25.48184,-100.34081 25.48184,-100.34081 25.50858,-100.40770 25.50858,-100.40770 25.48184))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 693 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048528-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjpk3f
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PIFSC & SWFSC, Cetacean Survey, HICEAS 2010, Cruise 1641, NOAA Pacific Islands Fisheries Science Center"
 ]
}

 The dataset includes 309 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048529-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35ash6
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoring turtle nesting in Las Tunas and influences of biotic and anthropological anthropological factors on the hatching success of Lepidochelys olivacea"
 ]
}

 The dataset includes 173 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048530-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc29d8rr
title: CCDC 2126964: Experimental Crystal Structure Determination

description: Related Article: Jingjing Wu, Hui Wang, Huaquan Fang, Kevin C. Wang, Deborin Ghosh, Valerio Fasano, Adam Noble, Varinder K. Aggarwal|2025|J.Am.Chem.Soc.|147|19450|doi:10.1021/jacs.5c03864
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.cc29d8ss
title: CCDC 2126965: Experimental Crystal Structure Determination

description: Related Article: Jingjing Wu, Hui Wang, Huaquan Fang, Kevin C. Wang, Deborin Ghosh, Valerio Fasano, Adam Noble, Varinder K. Aggarwal|2025|J.Am.Chem.Soc.|147|19450|doi:10.1021/jacs.5c03864
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: 10.15468/dl.6sfxbu
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tortue Olivâtre. Données publiées dans le cadre du projet JRS Bénin"
 ]
}

 The dataset includes 198 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048531-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k94vw
title: CCDC 2362288: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Brandon Barnardo, Danica B. Trollip, Eric C. Hosten|2025|Cryst.Growth Des.|25|4035|doi:10.1021/acs.cgd.5c00483
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.cc2k94wx
title: CCDC 2362289: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Brandon Barnardo, Danica B. Trollip, Eric C. Hosten|2025|Cryst.Growth Des.|25|4035|doi:10.1021/acs.cgd.5c00483
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.cc2kfjwf
title: CCDC 2366505: Experimental Crystal Structure Determination

description: Related Article: Yuji Liu, Xudong Wang, Hongling Ding, Mingjie Tang, Huanyu Sun, Wei Huang, Chuan Xiao, Yongxing Tang|2025|Cryst.Growth Des.|25|3680|doi:10.1021/acs.cgd.4c01639
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.cc2kfjxg
title: CCDC 2366506: Experimental Crystal Structure Determination

description: Related Article: Yuji Liu, Xudong Wang, Hongling Ding, Mingjie Tang, Huanyu Sun, Wei Huang, Chuan Xiao, Yongxing Tang|2025|Cryst.Growth Des.|25|3680|doi:10.1021/acs.cgd.4c01639
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: 10.15468/dl.8jcbph
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Encyocratella olivacea Strand, 1907, a senior synonym of Xenodendrophila gabrieli Gallon, 2003 (Araneae: Theraphosidae: Stromatopelminae) with a description of the male"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048532-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2md1nr
title: CCDC 2424654: Experimental Crystal Structure Determination

description: Related Article: Faith E. Chen, Jason D. Braun, Jinyoung Seo, Hailey J. Hurd, Malia B. Wenny, Shao-Liang Zheng, Jason J. Calvin, Craig M. Brown, Jarad A. Mason|2025|J.Am.Chem.Soc.|147|19788|doi:10.1021/jacs.5c03705
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.cc2md1ps
title: CCDC 2424655: Experimental Crystal Structure Determination

description: Related Article: Faith E. Chen, Jason D. Braun, Jinyoung Seo, Hailey J. Hurd, Malia B. Wenny, Shao-Liang Zheng, Jason J. Calvin, Craig M. Brown, Jarad A. Mason|2025|J.Am.Chem.Soc.|147|19788|doi:10.1021/jacs.5c03705
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.cc2md1qt
title: CCDC 2424656: Experimental Crystal Structure Determination

description: Related Article: Faith E. Chen, Jason D. Braun, Jinyoung Seo, Hailey J. Hurd, Malia B. Wenny, Shao-Liang Zheng, Jason J. Calvin, Craig M. Brown, Jarad A. Mason|2025|J.Am.Chem.Soc.|147|19788|doi:10.1021/jacs.5c03705
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.cc2md1rv
title: CCDC 2424657: Experimental Crystal Structure Determination

description: Related Article: Faith E. Chen, Jason D. Braun, Jinyoung Seo, Hailey J. Hurd, Malia B. Wenny, Shao-Liang Zheng, Jason J. Calvin, Craig M. Brown, Jarad A. Mason|2025|J.Am.Chem.Soc.|147|19788|doi:10.1021/jacs.5c03705
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.cc2mlp20
title: CCDC 2431022: Experimental Crystal Structure Determination

description: Related Article: Igor A. Zayakin, Mikhail V. Zlokazov, Alexander A. Korlyukov, Evgeny V. Tretyakov|2025|Cryst.Growth Des.|25|3938|doi:10.1021/acs.cgd.5c00343
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: 10.6084/m9.figshare.29324339
title: The result of Analysis of Factors Influencing the Sustainability of Generative AI Use in the Learning Process Among Jabodetabek University Students.xlsx

description: This research analyzes the factors that affect university students in the Jabodetabek area to continue using ChatGPT in their learning process. With the fast adoption of generative AI tools in education, ChatGPT is one of several platforms that has become widely used in the world for academic assistance. For the sustainability of ChatGPT usage not only gets affected by technical capabilities but also by psychological and social factors. This research used extended Technology Acceptance Model (TAM) by combining mediating variables like Perceived Trust and Satisfaction, and external variables like Competence and Social Influence. 415 valid respondents who are active university students and ChatGPT users collected with quantitative methods. SMART Partial Least Squares Structural Equation Modeling (PLS-SEM), SmartPLS 4 were used to analyze the data. All hypotheses proposed are significant statistically, with the most influential factors are Perceived Usefulness and Competence. Satisfaction and Trust serve as critical mediators, and Continuous Usage Behavior is also affected by Social Influence. The results found that the importance of improving digital competence of the students, trust, and fostering ethical AI usage in academic policies and support systems, provides valuable implications for future studies and academic exploration.
DOI: 10.6084/m9.figshare.29324339.v1
title: The result of Analysis of Factors Influencing the Sustainability of Generative AI Use in the Learning Process Among Jabodetabek University Students.xlsx

description: This research analyzes the factors that affect university students in the Jabodetabek area to continue using ChatGPT in their learning process. With the fast adoption of generative AI tools in education, ChatGPT is one of several platforms that has become widely used in the world for academic assistance. For the sustainability of ChatGPT usage not only gets affected by technical capabilities but also by psychological and social factors. This research used extended Technology Acceptance Model (TAM) by combining mediating variables like Perceived Trust and Satisfaction, and external variables like Competence and Social Influence. 415 valid respondents who are active university students and ChatGPT users collected with quantitative methods. SMART Partial Least Squares Structural Equation Modeling (PLS-SEM), SmartPLS 4 were used to analyze the data. All hypotheses proposed are significant statistically, with the most influential factors are Perceived Usefulness and Competence. Satisfaction and Trust serve as critical mediators, and Continuous Usage Behavior is also affected by Social Influence. The results found that the importance of improving digital competence of the students, trust, and fostering ethical AI usage in academic policies and support systems, provides valuable implications for future studies and academic exploration.
DOI: 10.6084/m9.figshare.29324339.v2
title: The result of Analysis of Factors Influencing the Sustainability of Generative AI Use in the Learning Process Among Jabodetabek University Students.xlsx

description: This research analyzes the factors that affect university students in the Jabodetabek area to continue using ChatGPT in their learning process. With the fast adoption of generative AI tools in education, ChatGPT is one of several platforms that has become widely used in the world for academic assistance. For the sustainability of ChatGPT usage not only gets affected by technical capabilities but also by psychological and social factors. This research used extended Technology Acceptance Model (TAM) by combining mediating variables like Perceived Trust and Satisfaction, and external variables like Competence and Social Influence. 415 valid respondents who are active university students and ChatGPT users collected with quantitative methods. SMART Partial Least Squares Structural Equation Modeling (PLS-SEM), SmartPLS 4 were used to analyze the data. All hypotheses proposed are significant statistically, with the most influential factors are Perceived Usefulness and Competence. Satisfaction and Trust serve as critical mediators, and Continuous Usage Behavior is also affected by Social Influence. The results found that the importance of improving digital competence of the students, trust, and fostering ethical AI usage in academic policies and support systems, provides valuable implications for future studies and academic exploration.
DOI: 10.6084/m9.figshare.29062439
title: Degradation studies on lurasidone hydrochloride using validated reverse phase HPLC and LC–MS/MS

description: The research aims to develop and validate a stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for Lurasidone hydrochloride, an antipsychotic drug derived from benzisothiazole derivatives.A Binary Gradient HPLC System with a PDA detector, C18 column (4.6 x 100 mm, 2.5 mm), and a Shimadzu 8040 series triple quadrupole mass analyzer with an electron spray ionizer was used for the LC-MS/MS analysis.The method was linear in the concentration range of 10-50 μg/mL with a correlation coefficient (<i>r</i><sup>2</sup>) of 0.999. The limit of detection (LOD) and limit of quantification (LOQ) were 0.091 μg/mL and 0.275 μg/mL, respectively. Validation included accuracy, percentage recovery, robustness, system suitability, and interday and intraday precision. Forced degradation studies were conducted in acid, alkali, oxidative, neutral, and photolytic conditions after 1, 2, and 6 hours, and in oxidative conditions for 24 hours. Degraded products were evaluated on LC-MS (100 m/z to 550 m/z). Lurasidone was more susceptible to alkali hydrolysis, with fragmentation peaks at 109, 166, 220, and 317 m/z. and possible fragmentation pattern was also evaluated.This method is used for routine quality control analysis as a stability-indicating method of Lurasidone hydrochloride in pharmaceuticals, and the LC-MS data is used for evaluating stability and identifying drug intermediates. The research aims to develop and validate a stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for Lurasidone hydrochloride, an antipsychotic drug derived from benzisothiazole derivatives. A Binary Gradient HPLC System with a PDA detector, C18 column (4.6 x 100 mm, 2.5 mm), and a Shimadzu 8040 series triple quadrupole mass analyzer with an electron spray ionizer was used for the LC-MS/MS analysis. The method was linear in the concentration range of 10-50 μg/mL with a correlation coefficient (<i>r</i><sup>2</sup>) of 0.999. The limit of detection (LOD) and limit of quantification (LOQ) were 0.091 μg/mL and 0.275 μg/mL, respectively. Validation included accuracy, percentage recovery, robustness, system suitability, and interday and intraday precision. Forced degradation studies were conducted in acid, alkali, oxidative, neutral, and photolytic conditions after 1, 2, and 6 hours, and in oxidative conditions for 24 hours. Degraded products were evaluated on LC-MS (100 m/z to 550 m/z). Lurasidone was more susceptible to alkali hydrolysis, with fragmentation peaks at 109, 166, 220, and 317 m/z. and possible fragmentation pattern was also evaluated. This method is used for routine quality control analysis as a stability-indicating method of Lurasidone hydrochloride in pharmaceuticals, and the LC-MS data is used for evaluating stability and identifying drug intermediates.
DOI: 10.6084/m9.figshare.29062439.v1
title: Degradation studies on lurasidone hydrochloride using validated reverse phase HPLC and LC–MS/MS

description: The research aims to develop and validate a stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for Lurasidone hydrochloride, an antipsychotic drug derived from benzisothiazole derivatives.A Binary Gradient HPLC System with a PDA detector, C18 column (4.6 x 100 mm, 2.5 mm), and a Shimadzu 8040 series triple quadrupole mass analyzer with an electron spray ionizer was used for the LC-MS/MS analysis.The method was linear in the concentration range of 10-50 μg/mL with a correlation coefficient (<i>r</i><sup>2</sup>) of 0.999. The limit of detection (LOD) and limit of quantification (LOQ) were 0.091 μg/mL and 0.275 μg/mL, respectively. Validation included accuracy, percentage recovery, robustness, system suitability, and interday and intraday precision. Forced degradation studies were conducted in acid, alkali, oxidative, neutral, and photolytic conditions after 1, 2, and 6 hours, and in oxidative conditions for 24 hours. Degraded products were evaluated on LC-MS (100 m/z to 550 m/z). Lurasidone was more susceptible to alkali hydrolysis, with fragmentation peaks at 109, 166, 220, and 317 m/z. and possible fragmentation pattern was also evaluated.This method is used for routine quality control analysis as a stability-indicating method of Lurasidone hydrochloride in pharmaceuticals, and the LC-MS data is used for evaluating stability and identifying drug intermediates. The research aims to develop and validate a stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for Lurasidone hydrochloride, an antipsychotic drug derived from benzisothiazole derivatives. A Binary Gradient HPLC System with a PDA detector, C18 column (4.6 x 100 mm, 2.5 mm), and a Shimadzu 8040 series triple quadrupole mass analyzer with an electron spray ionizer was used for the LC-MS/MS analysis. The method was linear in the concentration range of 10-50 μg/mL with a correlation coefficient (<i>r</i><sup>2</sup>) of 0.999. The limit of detection (LOD) and limit of quantification (LOQ) were 0.091 μg/mL and 0.275 μg/mL, respectively. Validation included accuracy, percentage recovery, robustness, system suitability, and interday and intraday precision. Forced degradation studies were conducted in acid, alkali, oxidative, neutral, and photolytic conditions after 1, 2, and 6 hours, and in oxidative conditions for 24 hours. Degraded products were evaluated on LC-MS (100 m/z to 550 m/z). Lurasidone was more susceptible to alkali hydrolysis, with fragmentation peaks at 109, 166, 220, and 317 m/z. and possible fragmentation pattern was also evaluated. This method is used for routine quality control analysis as a stability-indicating method of Lurasidone hydrochloride in pharmaceuticals, and the LC-MS data is used for evaluating stability and identifying drug intermediates.