cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7858805
title: Cartolabe arXiv 2019

description: Cartolabe arXiv 2019 dataset is built with data extracted from the arXiv science repository. It gives access to ~1.6m articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Only authors with at least 4 articles are kept. This map was generated with the data extracted from arXiv on 29/11/2019.
DOI: 10.6084/m9.figshare.22683400
title: aunt.chr11.vcf.gz

description: Sequencing a deceased relative’s genome to learn about their genetic risk predisposition post-mortem
DOI: 10.6084/m9.figshare.22683400.v1
title: aunt.chr11.vcf.gz

description: Sequencing a deceased relative’s genome to learn about their genetic risk predisposition post-mortem
DOI: 10.25375/uct.22040909
title: Atlantic Yellow-nosed Albatrosses on Gough Island: Daily Diaries data

description: Data gathered from Atlantic Yellow-nosed Albatrosses breeding on Gough Island. Data were gathered using Daily Diaries (DDs) which recorded tri-axial accelerometer and magnetometer data at 40Hz. Seperate from the DD tags, GPS tags recorded position every hour. The data from the two tag types were synched to the nearest hour. A range of metrics were calculated from the DD data and positional data were used to extract environmental variables (sea-surface temperature and wind vectors). <br> A seperate zip file with the raw data, to be used with DDMT software (Swansea University)
DOI: 10.25375/uct.22040909.v2
title: Atlantic Yellow-nosed Albatrosses on Gough Island: Daily Diaries data

description: Data gathered from Atlantic Yellow-nosed Albatrosses breeding on Gough Island. Data were gathered using Daily Diaries (DDs) which recorded tri-axial accelerometer and magnetometer data at 40Hz. Seperate from the DD tags, GPS tags recorded position every hour. The data from the two tag types were synched to the nearest hour. A range of metrics were calculated from the DD data and positional data were used to extract environmental variables (sea-surface temperature and wind vectors). <br> A seperate zip file with the raw data, to be used with DDMT software (Swansea University)
DOI: 10.25375/uct.22040909.v1
title: Atlantic Yellow-nosed Albatrosses on Gough Island: Daily Diaries data

description: Data gathered from Atlantic Yellow-nosed Albatrosses breeding on Gough Island. Data were gathered using Daily Diaries (DDs) which recorded tri-axial accelerometer and magnetometer data at 40Hz. Seperate from the DD tags, GPS tags recorded position every hour. The data from the two tag types were synched to the nearest hour. A range of metrics were calculated from the DD data and positional data were used to extract environmental variables (sea-surface temperature and wind vectors).
DOI: 10.5281/zenodo.7856472
title: Cocktailer AE Data

description: The data required to reproduce the paper "Cocktailer: Analysis and Optimization for Dynamic Control Flow in Deep Learning"
DOI: 10.5281/zenodo.7856473
title: Cocktailer AE Data

description: The data required to reproduce the paper "Cocktailer: Analysis and Optimization for Dynamic Control Flow in Deep Learning"
DOI: 10.5281/zenodo.7858169
title: Cocktailer AE Data

description: The data required to reproduce the paper "Cocktailer: Analysis and Optimization for Dynamic Control Flow in Deep Learning"
DOI: 10.25345/c5rx93q0q
title: MassIVE MSV000091785 - An Orphan-Moonlighting Gene PRL-1 Enhances Photosynthetic Efficiency and Productivity in Plants
title: Increasing photosynthetic efficiency remains a major goal across the globe given its central role in CO2 assimilation. Here, we identified a nuclear genome-residing orphan gene, comprised of 3 exons, two with apparent endophytic origins and the third being a highly conserved fragment of the RIBULOSE BISPHOSPHATE CARBOXYLASE/ OXYGENASE LARGE SUBUNIT (RuBisCo). This novel gene, here-on referred to as Populus RuBisCo-like (PRL-1) gene localizes in chloroplast, endoplasmic reticulum and nuclear compartments of plant cells, acts as a transcriptional repressor and modulates adaptation to fluctuating light. P. trichocarpa genotypes with high PRL-1 expression levels quickly dissipated non-photochemical quenching (NPQ) upon transitioning from high to low light and rapidly induced NPQ upon returning to high light. The dynamic modulation of NPQ yields high quantum efficiency of linear electron transport (PSII) and 10-20% increased quantum efficiency of CO2 assimilation (CO2). The enhanced photosynthesis efficiency corresponded with increased plant height and biomass in P. trichocarpa with up to 35 % and 100% increases under field and greenhouse conditions. Transgenic Arabidopsis plants heterologously expressing the PRL-1 gene gained up to 200% in biomass and 97% in seed yield under greenhouse conditions. Taken together, PRL-1 presents a novel and trackable target for increasing photosynthetic efficiency in plants.
DOI: 10.5281/zenodo.7858852
title: Energy Savings Related to Green Infrastructure in Valladolid city

description: Improved green infrastructure results in energy savings through a variety of mechanisms. These include: Reducing the need to heat buildings by insulating them against the cold Reducing the need to cool buildings by insulating them against the heat Reducing the volume of stormwater entering the sewer system, thus reducing energy consumption in sewage processing The energy savings resulting from these three mechanisms are estimated by GI-Val [https://www.merseyforest.org.uk/gi-val/] tools 1.1, 1.5 and 2.1 respectively.
DOI: 10.5281/zenodo.7858851
title: Energy Savings Related to Green Infrastructure in Valladolid city

description: Improved green infrastructure results in energy savings through a variety of mechanisms. These include: Reducing the need to heat buildings by insulating them against the cold Reducing the need to cool buildings by insulating them against the heat Reducing the volume of stormwater entering the sewer system, thus reducing energy consumption in sewage processing The energy savings resulting from these three mechanisms are estimated by GI-Val [https://www.merseyforest.org.uk/gi-val/] tools 1.1, 1.5 and 2.1 respectively.
DOI: 10.34740/kaggle/dsv/5506857
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7858859
title: Citizen Perception of the NBS in Valladolid city

description: Citizens’ perceptions, both individuals and communities, are essential when evaluating the well-being benefits from urban green spaces (Kothencz et al, 2017). Public and stakeholder perceptions of urban nature, and specifically the quality or functionality of nature, are critical to our understanding of the “value” people place on local environments (Priego et al., 2008). Exploring visitors’ perceptions of green spaces is challenging as it depends on cognitive, affective, and behavioural components and, therefore, sensory perceptions are individually different (Kothencz et al, 2017). This KPI measures identified green space characteristics by the two following well-being variables and one geolocation variable: Green space visitors’ level of satisfaction. Directly related with the urban green space (UGS) quality. Self-reported quality of life (QoL). Frequency of green space visitors’ crowd-sourced geo-tagged data in NBS sites. Visitors’ level of satisfaction and perceived QoL contributions of UGS are key individual-level measures that are subjectively affected by area-based green space characteristics. This KPI will reflect on how people assess change in their local environments in terms of satisfaction, quality of life and citizens’ presence of urban green space (UGS) at a site (NBS), neighbourhood and city scale.
DOI: 10.5281/zenodo.7858858
title: Citizen Perception of the NBS in Valladolid city

description: Citizens’ perceptions, both individuals and communities, are essential when evaluating the well-being benefits from urban green spaces (Kothencz et al, 2017). Public and stakeholder perceptions of urban nature, and specifically the quality or functionality of nature, are critical to our understanding of the “value” people place on local environments (Priego et al., 2008). Exploring visitors’ perceptions of green spaces is challenging as it depends on cognitive, affective, and behavioural components and, therefore, sensory perceptions are individually different (Kothencz et al, 2017). This KPI measures identified green space characteristics by the two following well-being variables and one geolocation variable: Green space visitors’ level of satisfaction. Directly related with the urban green space (UGS) quality. Self-reported quality of life (QoL). Frequency of green space visitors’ crowd-sourced geo-tagged data in NBS sites. Visitors’ level of satisfaction and perceived QoL contributions of UGS are key individual-level measures that are subjectively affected by area-based green space characteristics. This KPI will reflect on how people assess change in their local environments in terms of satisfaction, quality of life and citizens’ presence of urban green space (UGS) at a site (NBS), neighbourhood and city scale.
DOI: 10.6084/m9.figshare.20712490
title: Alignments for Strunecky et al. 2022

description: This is the final 16S rRNA gene alignment used for Fig. 1.
DOI: 10.5517/ccdc.csd.cc2fd321
title: CCDC 2245952: Experimental Crystal Structure Determination

description: Related Article: Yaseen Hussain, Deepak Sharma, Tamanna, Pankaj Chauhan|2023|Org.Lett.|25|2520|doi:10.1021/acs.orglett.3c00685
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.cc2dzwmx
title: CCDC 2234220: Experimental Crystal Structure Determination

description: Related Article: Huan Cao, Chao-Jiu Long, Dan Yang, Zhi Guan, Yan-Hong He|2023|J.Org.Chem.|88|4145|doi:10.1021/acs.joc.2c02616
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.cc2fdy60
title: CCDC 2246762: Experimental Crystal Structure Determination

description: Related Article: Louise Dickson, Martin Teall, Elodie Chevalier, Toni Cheung, Gemma M. Liwicki, Stephen Mack, Anne Stephenson, Kathryn White, Richard Fosbeary, David C. Harrison, Nicola L. Brice, Kevin Doyle, Roberto Ciccocioppo, Chaobo Wu, Sarah Almond, Toshal R. Patel, Philip Mitchell, Matt Barnes, Andrew P. Ayscough, Lee A. Dawson, Mark Carlton, Roland W. Bürli|2023|ACS.Med.Chem.Lett.|14|442|doi:10.1021/acsmedchemlett.2c00529
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.cc2ffy72
title: CCDC 2247724: Experimental Crystal Structure Determination

description: Related Article: Bang-Hong Zhang, Wen Bao, Fu Cheng, Ke-Yang Yu, Jia-Xuan Wang, Zi-Hao Zhang, Long-Jun Dong, Ze-Sen Xue, Dao-Yong Zhu, Xue-Tao Xu, Shao-Hua Wang|2023|Org.Lett.|25|2405|doi:10.1021/acs.orglett.3c00466
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.cc2dg0b7
title: CCDC 2217998: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Maxim A. Shmelev, Konstantin A. Babeshkin, Nikolay N. Efimov, Mikhail A. Kiskin, Igor L. Eremenko|2023|Polyhedron|236|116385|doi:10.1016/j.poly.2023.116385
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.cc2fhvxq
title: CCDC 2249574: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Ying, Hui-Juan Shi, Shao-Peng Chen, Yun-Zhi Tang, Yu-Hui Tan, Su-Fen Wang, Zhen Sun, Fang Xin Wang, Ming-Yang Wan|2023|Inorg.Chem.|62|6189|doi:10.1021/acs.inorgchem.3c00569
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.cc2b9qn1
title: CCDC 2154303: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Ying, Hui-Juan Shi, Shao-Peng Chen, Yun-Zhi Tang, Yu-Hui Tan, Su-Fen Wang, Zhen Sun, Fang Xin Wang, Ming-Yang Wan|2023|Inorg.Chem.|62|6189|doi:10.1021/acs.inorgchem.3c00569
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: 10.5281/zenodo.7858747
title: Analysed data of GAL10-Gal4 burst tracking and analysis

description: Analyzed data of GAL10-Gal4 burst tracking and analysis
DOI: 10.5281/zenodo.7858746
title: Analysed data of GAL10-Gal4 burst tracking and analysis

description: Analyzed data of GAL10-Gal4 burst tracking and analysis
DOI: 10.6084/m9.figshare.22109900
title: Supplementary Material for: Avian sex determination: a chicken egg conundrum

description: Background Primary sex-determination is the developmental process that results in the sex determination of the gonads. Vertebrate sex determination is generally considered to follow the model based on the mammalian system, where a sex-specific master regulatory gene activates one of the two different gene networks that underlie testis and ovary differentiation. Summary It is now known that, while many of the molecular components of these pathways are conserved across different vertebrates, a wide variety of different trigger factors are utilised to initiate primary sex determination. In birds, the male is the homogametic sex (ZZ), and significant differences exist between the avian system of sex determination and that of mammals. For example, DMRT1, FOXL2 and estrogen are key factors in gonadogenesis in birds, but none are essential for primary sex determination in mammals. Key Message Gonadal sex determination in birds is thought to depend on a dosage-based mechanism involving expression of the Z-linked DMRT1 gene, and it may be that this ‘mechanism’ is simply an extension of the cell autonomous sex identity (CASI) associated with avian tissues, with no sex-specific trigger required.
DOI: 10.6084/m9.figshare.22109900.v1
title: Supplementary Material for: Avian sex determination: a chicken egg conundrum

description: Background Primary sex-determination is the developmental process that results in the sex determination of the gonads. Vertebrate sex determination is generally considered to follow the model based on the mammalian system, where a sex-specific master regulatory gene activates one of the two different gene networks that underlie testis and ovary differentiation. Summary It is now known that, while many of the molecular components of these pathways are conserved across different vertebrates, a wide variety of different trigger factors are utilised to initiate primary sex determination. In birds, the male is the homogametic sex (ZZ), and significant differences exist between the avian system of sex determination and that of mammals. For example, DMRT1, FOXL2 and estrogen are key factors in gonadogenesis in birds, but none are essential for primary sex determination in mammals. Key Message Gonadal sex determination in birds is thought to depend on a dosage-based mechanism involving expression of the Z-linked DMRT1 gene, and it may be that this ‘mechanism’ is simply an extension of the cell autonomous sex identity (CASI) associated with avian tissues, with no sex-specific trigger required.
DOI: 10.5519/qd.myv3zu2f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1582 records)
DOI: 10.6084/m9.figshare.22683412
title: Data sheet Kolobe et al. 2023.xlsx

description: This sheet contain data on production parameters, digestibility and meat quality after 14 day storage period
DOI: 10.5281/zenodo.7858896
title: Openness process in Valladolid city

description: Nature-Based Solutions require planning approaches and governance architectures that support accessibility to green spaces, while maintaining their quality for the provision of ecosystem services. Urban environmental problems are often difficult to handle and successful solutions require combined efforts of different scientific disciplines but also an active dialogue between stakeholders from policy and society (Lemos and Morehouse, 2005). In this context, transdisciplinary approaches for knowledge co-production provide insights about the ways and the rationale for engaging with multiple knowledge holders: experts and scientists as well as citizens and practitioners (Bergmann et al., 2012, Jahn et al., 2012). The scientific frameworks of urban ecosystem services were brought into the interface between policy and science to inform urban planning and governance (Frantzeskaki and Tilie, 2014). The quality of the URBAN GreenUP project implementation depends on social learning and adequate technical solutions. This is possible through the support and cooperation between the involved parties and the resulting input of knowledge (Luyet, 2012). Participation is often reduced to the dissemination of information and the holding of workshops. These approaches generally do not take into account either the heterogeneity of stakeholders, or the complexity of the decision making process (Luyet, 2012). The KPI “Openness of participatory processes” is based on the participation actions delivered in the city of Valladolid. There are defined two steps, data collection and data evaluation.
DOI: 10.5281/zenodo.7858895
title: Openness process in Valladolid city

description: Nature-Based Solutions require planning approaches and governance architectures that support accessibility to green spaces, while maintaining their quality for the provision of ecosystem services. Urban environmental problems are often difficult to handle and successful solutions require combined efforts of different scientific disciplines but also an active dialogue between stakeholders from policy and society (Lemos and Morehouse, 2005). In this context, transdisciplinary approaches for knowledge co-production provide insights about the ways and the rationale for engaging with multiple knowledge holders: experts and scientists as well as citizens and practitioners (Bergmann et al., 2012, Jahn et al., 2012). The scientific frameworks of urban ecosystem services were brought into the interface between policy and science to inform urban planning and governance (Frantzeskaki and Tilie, 2014). The quality of the URBAN GreenUP project implementation depends on social learning and adequate technical solutions. This is possible through the support and cooperation between the involved parties and the resulting input of knowledge (Luyet, 2012). Participation is often reduced to the dissemination of information and the holding of workshops. These approaches generally do not take into account either the heterogeneity of stakeholders, or the complexity of the decision making process (Luyet, 2012). The KPI “Openness of participatory processes” is based on the participation actions delivered in the city of Valladolid. There are defined two steps, data collection and data evaluation.
DOI: 10.6084/m9.figshare.22284814
title: Supplementary Material for: Examining Cognitive Biases Uniquely Associated with Schizotypy

description: Introduction: Individuals with schizotypy experience a number of cognitive biases that may increase risk to develop schizophrenia-spectrum psychopathology. However, cognitive biases are also present in mood and anxiety disorders and it is currently unclear which biases are specific to schizotypy and which may be a result of comorbid depression or anxiety. Methods: 462 participants completed measures of depression, anxiety, cognitive biases, cognitive schemas, and schizotypy. Correlation analyses were conducted to examine the relationship between schizotypy, depression, anxiety, cognitive biases and schemas. Hierarchical regression analyses were conducted to examine the association between cognitive biases and schizotypy after controlling for depression and anxiety. Moderated regression analyses were also conducted to investigate the moderating role of biological sex and ethnicity in the association between cognitive biases and schizotypy. Results: Self-referential processing, belief inflexibility, and attention for threat were associated with schizotypy continuously. The belief inflexibility bias and social cognition problems were specifically associated with schizotypy after controlling for depression and anxiety and were not directly associated with either depression or anxiety. These associations were not moderated by biological sex or ethnicity. Discussion/Conclusion: The belief inflexibility bias may be an important cognitive bias underlying schizotypal personality and further research will be important to determine whether this bias is also associated with an increased likelihood of transitioning to psychosis.