cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29cl7j
title: CCDC 2126297: Experimental Crystal Structure Determination

description: Related Article: Cuiming Ren, Zhihao Lu, Benlong Luo, Xiaofeng Yi, Lifang Lin, Li Xu|2021|Inorg.Chem.Front.|8|5178|doi:10.1039/D1QI01080H
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.cc29cl8k
title: CCDC 2126298: Experimental Crystal Structure Determination

description: Related Article: Cuiming Ren, Zhihao Lu, Benlong Luo, Xiaofeng Yi, Lifang Lin, Li Xu|2021|Inorg.Chem.Front.|8|5178|doi:10.1039/D1QI01080H
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.cc29cl9l
title: CCDC 2126299: Experimental Crystal Structure Determination

description: Related Article: Cuiming Ren, Zhihao Lu, Benlong Luo, Xiaofeng Yi, Lifang Lin, Li Xu|2021|Inorg.Chem.Front.|8|5178|doi:10.1039/D1QI01080H
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.22132055
title: Study data(pretest, Study 1,2)

description: I analyzed these data files in the article 'Pronoun choice as an advertising strategy: ‘We’ or ‘brand name’ as the subject.' Each of the files
DOI: 10.6084/m9.figshare.22132055.v2
title: Study data(pretest, Study 1,2)

description: I analyzed these data files in the article 'Pronoun choice as an advertising strategy: ‘We’ or ‘brand name’ as the subject.' Each of the files
DOI: 10.6084/m9.figshare.22132055.v1
title: Study data(pretest, Study 1,2)

description: I analyzed these data files in the article 'Pronoun choice as an advertising strategy: ‘We’ or ‘brand name’ as the subject.' Each of the files
DOI: 10.5517/ccdc.csd.cc28hytk
title: CCDC 2100709: Experimental Crystal Structure Determination

description: Related Article: Neha Kumari, Vir Bahadur, Raymond J. Butcher, Anupa A. Kumbhar|2022|J.Chem.Cryst.|52|525|doi:10.1007/s10870-022-00937-1
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: 10.5519/qd.bmmwxjeb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (566 records)
DOI: 10.6084/m9.figshare.22133570
title: Data set used in the manuscript "Angry birds calling: an advanced system of signalling aggression to moderate conflict in the common chiffchaff"

description: Data set used in the manuscript "Angry birds calling: an advanced system of signalling aggression to moderate conflict in the common chiffchaff"
DOI: 10.6084/m9.figshare.22133570.v1
title: Data set used in the manuscript "Angry birds calling: an advanced system of signalling aggression to moderate conflict in the common chiffchaff"

description: Data set used in the manuscript "Angry birds calling: an advanced system of signalling aggression to moderate conflict in the common chiffchaff"
DOI: 10.5281/zenodo.7104305
title: cryo-electron tomography images of thin, vitreous biological samples with gold fiducial markers

description: Set of images compiled from EMPIAR and fiducial marker segmentations. Annotations performed manually using napari. <pre>EMPIAR-10164 - immature HIV-1 dMACANC VLPs at 1.35Apx EMPIAR-10814 - mouse DRG axons at 2.96Apx EMPIAR-10453 - SARS-CoV-2 at 1.33Apx EMPIAR-10364 - E. coli minicells (collected with a volta phase plate) at 2.24Apx EMPIAR-10631 - fungal membrane-assembled retromer:Grd19 coat containing Kex2 cargo motif at 1.38Apx</pre>
DOI: 10.5281/zenodo.7404985
title: cryo-electron tomography images of thin, vitreous biological samples with gold fiducial markers

description: Set of images compiled from EMPIAR and internal LMB data with corresponding segmentations of gold fiducial markers. All images have been rescaled to a pixel size of 8 Å/px Annotations performed manually using napari. <pre>EMPIAR-10164 - immature HIV-1 dMACANC VLPs EMPIAR-10814 - mouse DRG axons EMPIAR-10453 - SARS-CoV-2 EMPIAR-10364 - E. coli minicells (collected with a volta phase plate) EMPIAR-10631 - fungal membrane-assembled retromer:Grd19 coat containing Kex2 cargo motif EMPIAR-10046 - Mouse 5-HT3 receptors in lipid vesicles EMPIAR-10304 - Improved applicability and robustness of fast cryo-electron tomography data acquisition EMPIAR-10009 - Cryo-electron tomography of an C1-IgG complex LMB-001 - internal LMB data contributed by Andriko von Kügelgen LMB-002 - internal LMB data contributed by Tom Dendooven and Stan Yatskevich </pre>
DOI: 10.18112/openneuro.ds004496.v1.1.0
title: NaturalObejctDataset
DOI: 10.6084/m9.figshare.22133555
title: run-Rcold.zip

description: numerical simulations output; the data from an sensitivity experiment （run-Rcold）
DOI: 10.6084/m9.figshare.22133555.v1
title: run-Rcold.zip

description: numerical simulations output; the data from an sensitivity experiment （run-Rcold）
DOI: 10.6084/m9.figshare.21155419.v5
title: Dataset of freshwater macroinvertebrate occurrences from Cuba

description: File “dataset_freshw_macroinv_cu.csv”: a dataset of georeferenced occurrence records of freshwater flatworms (Platyhelminthes: Tricladida), insects (Ephemeroptera, Odonata, Hemiptera, Trichoptera, Coleoptera, Diptera), crabs and shrimps (Crustacea: Decapoda), and mollusks (Mollusca) of Cuba. The information was collated from the scientific literature, unpublished field records, museum collections and online databases. The dataset is organized in 32 fields that contains information about the taxonomic classification of each recorded species; sex, and life stage of individuals; location, author and date of the record and a reference to the original data source. File “species_list.csv”: an updated species list of 590 species of tricladid flatworms (Tricladida, phylum Platyhelminthes), the insect orders Ephemeroptera (mayflies), Odonata (dragonflies and damselflies), Trichoptera (cadiflies) and freshwater Hemiptera, Coleoptera, Decapoda (crabs and shrimps, subphylum Crustacea) and Mollusca from Cuba created after a revision of the literature. Only binomial scientific names (genus + species) were considered, avoiding the use of subgenus and subespecies categories. This list was taken as taxonomic reference to search information on species occurrence records and compile the information stored in “dataset_freshw_macroinv_cu.csv”. File “fields_dataset.docx”: list of fields and definitions used in the dataset (file “dataset_freshw_macroinv_cu.csv”) of freshwater macroinvertebrates occurrence records from Cuba. Terms and definitions are according to Darwin Core standards (dc, http://www.tdwg.org/standards/450 ), Freshwater Core Template at Freshwater Biodiversity Data Portal (fwct, https://data.freshwaterbiodiversity.eu/) and Global Biodiversity Information Facility (gbif, https://www.gbif.org ). File “script_technical_validation.R”: R script to screen “dataset_freshw_macroinv_cu.csv” for georeferencing errors, incomplete information and redundant occurrence records. File “script_download_ocurr_gbif_inaturalist.R”: R script to download species occurrence records from GBIF and iNaturalist included in “dataset_freshw_macroinv_cu.csv”.
DOI: 10.5281/zenodo.7660831
title: Case study for Sustainable agri-food supply chain planning through multi-objective optimisation

description: Case study used to solve the multi-objective model proposed in: Sustainable agri-food supply chain planning through multi-objective optimisation
DOI: 10.5281/zenodo.7660830
title: Case study for Sustainable agri-food supply chain planning through multi-objective optimisation

description: Case study used to solve the multi-objective model proposed in: Sustainable agri-food supply chain planning through multi-objective optimisation
DOI: 10.6084/m9.figshare.22133114.v1
title: run-cnl.zip

description: numerical simulations output; the data from an sensitivity experiment （run-cnl）
DOI: 10.6084/m9.figshare.22133114
title: run-cnl.zip

description: numerical simulations output; the data from an sensitivity experiment （run-cnl）
DOI: 10.6084/m9.figshare.21803253
title: Supplementary Material for: Current management of Inherited Retinal Degenerations (IRD) patients in Europe. Results of a 2 years follow-up multinational survey by the European Vision Institute Clinical Research Network - EVICR.net

description: Introduction: An increasing number of gene-specific therapies are being developed for IRDs. Identification of well characterized patients is an emerging need. We conducted the second multinational survey among the EVICR.net and ERN-EYE members to understand the management and treatment of IRDs in Europe and compared it to the 2019 survey. Methods: An electronic survey questionnaire was developed and sent to 124 clinical centers (25 countries) by June/July 2021. Statistical analysis was performed with Excel and R. Results: The overall response rate was 44% but varied among countries. Only 9% of responding centers do not see IRD patients (2019 survey 14%); 42% follow at least 200 patients per year, 18% follow 500-999 and 2% more than 1000. Databases exist in 86% of the centers (local 86%; national web-based 12%). IRD patients are referred to EVICR.net and ERN-EYE centers mainly by general ophthalmologists, patient self-referral, or medical retina specialists. Most IRD patients are first seen as adults. Signs and symptoms depend on age of onset: in infancy nystagmus, at older age night blindness and reduced visual field; reduced visual acuity (VA) is described at any age. Comprehensive ophthalmic examination always includes VA, and almost always visual fields multimodal retinal imaging, electrophysiology, color vision testing, and refraction. Identification of genotypes is successful in 72% of centers in 40-80% of cases (2019 survey 69% of centers). The time for confirmation of the genetic diagnosis varies from 2-4 weeks to 24 months (2019 survey &gt; 4 weeks ≤ 10 years). Genetic testing is covered by public health service in 83%, private health insurance in 29%, research funds in 24%; 5% do not have access to genetic testing (2019 survey 15%). The most striking result is the high increase in the involvement of centers in natural history and gene therapy trials that for the latter more than doubled. Discussion/Conclusion: This second multinational survey on management of IRDs in Europe highlights persistent important differences in the number of IRD patients managed per center, comparable diagnostic work-up, and increasing genotyping in diagnostic laboratories. The important increase of involvement of centers in natural history and gene therapy trials reflects the rapidly evolving field of gene therapy development. The survey provides important follow-up data for researchers, clinicians, care givers, patient advocate groups, pharmaceutical companies and investors.
DOI: 10.6084/m9.figshare.21803253.v1
title: Supplementary Material for: Current management of Inherited Retinal Degenerations (IRD) patients in Europe. Results of a 2 years follow-up multinational survey by the European Vision Institute Clinical Research Network - EVICR.net

description: Introduction: An increasing number of gene-specific therapies are being developed for IRDs. Identification of well characterized patients is an emerging need. We conducted the second multinational survey among the EVICR.net and ERN-EYE members to understand the management and treatment of IRDs in Europe and compared it to the 2019 survey. Methods: An electronic survey questionnaire was developed and sent to 124 clinical centers (25 countries) by June/July 2021. Statistical analysis was performed with Excel and R. Results: The overall response rate was 44% but varied among countries. Only 9% of responding centers do not see IRD patients (2019 survey 14%); 42% follow at least 200 patients per year, 18% follow 500-999 and 2% more than 1000. Databases exist in 86% of the centers (local 86%; national web-based 12%). IRD patients are referred to EVICR.net and ERN-EYE centers mainly by general ophthalmologists, patient self-referral, or medical retina specialists. Most IRD patients are first seen as adults. Signs and symptoms depend on age of onset: in infancy nystagmus, at older age night blindness and reduced visual field; reduced visual acuity (VA) is described at any age. Comprehensive ophthalmic examination always includes VA, and almost always visual fields multimodal retinal imaging, electrophysiology, color vision testing, and refraction. Identification of genotypes is successful in 72% of centers in 40-80% of cases (2019 survey 69% of centers). The time for confirmation of the genetic diagnosis varies from 2-4 weeks to 24 months (2019 survey &gt; 4 weeks ≤ 10 years). Genetic testing is covered by public health service in 83%, private health insurance in 29%, research funds in 24%; 5% do not have access to genetic testing (2019 survey 15%). The most striking result is the high increase in the involvement of centers in natural history and gene therapy trials that for the latter more than doubled. Discussion/Conclusion: This second multinational survey on management of IRDs in Europe highlights persistent important differences in the number of IRD patients managed per center, comparable diagnostic work-up, and increasing genotyping in diagnostic laboratories. The important increase of involvement of centers in natural history and gene therapy trials reflects the rapidly evolving field of gene therapy development. The survey provides important follow-up data for researchers, clinicians, care givers, patient advocate groups, pharmaceutical companies and investors.
DOI: 10.4121/21542106.v1
title: Thermodynamic analysis of SOFC system for alternative fuels

description: This data set contains the input data, models, and results from a thermodynamic analysis of a marine SOFC system for 5 alternative fuels. The included fuels are methane, methanol, diesel, ammonia and hydrogen. Additionaly cathode off-gas recirculation (COGR) is investigated to increase heat efficiency. The system is modelled in Cycle-Tempo and python scripts are used for data analysis and generation of figures. The models and results of 10 different systems are shared (5 different fuels all with and without COGR). <br> The dataset contains the following files: Cycle-Tempo source files (.gui). Visual representation of cycle-tempo models (.JPG). Flow-sheets of thermodynamic models, containing mass flows, temperature, pressure and enthalpy in all components (file). Raw data of simulations for varying voltage of 0.6-0.85V and fuel utilisation of 70%-85% for five different fuels without COGR (.xlsx). Result analysis file (Result analysis.xlsx) Python file that makes contourplot from raw data (countourplot.py) <br>
DOI: 10.4121/21542106
title: Thermodynamic analysis of SOFC system for alternative fuels

description: This data set contains the input data, models, and results from a thermodynamic analysis of a marine SOFC system for 5 alternative fuels. The included fuels are methane, methanol, diesel, ammonia and hydrogen. Additionaly cathode off-gas recirculation (COGR) is investigated to increase heat efficiency. The system is modelled in Cycle-Tempo and python scripts are used for data analysis and generation of figures. The models and results of 10 different systems are shared (5 different fuels all with and without COGR). <br> The dataset contains the following files: Cycle-Tempo source files (.gui). Visual representation of cycle-tempo models (.JPG). Flow-sheets of thermodynamic models, containing mass flows, temperature, pressure and enthalpy in all components (file). Raw data of simulations for varying voltage of 0.6-0.85V and fuel utilisation of 70%-85% for five different fuels without COGR (.xlsx). Result analysis file (Result analysis.xlsx) Python file that makes contourplot from raw data (countourplot.py) <br>
DOI: 10.5281/zenodo.7660852
title: ANALYSIS OF HOW THE SOCIAL CONTACTS´ SEX PREDICT SELF-CONCEPT AS A SOCIALLY ENGAGED PERSON AND SOCIAL PARTICIPATION IN YOUNG PEOPLE.

description: 962 Spanish undergraduate students completed a questionnaire assessing their likelihood of engaging in civic and political participation in the future, their self-concept as socially engaged people and the composition of their social networks, distinguishing between male and female contacts.
DOI: 10.5281/zenodo.7660851
title: ANALYSIS OF HOW THE SOCIAL CONTACTS´ SEX PREDICT SELF-CONCEPT AS A SOCIALLY ENGAGED PERSON AND SOCIAL PARTICIPATION IN YOUNG PEOPLE.

description: 962 Spanish undergraduate students completed a questionnaire assessing their likelihood of engaging in civic and political participation in the future, their self-concept as socially engaged people and the composition of their social networks, distinguishing between male and female contacts.
DOI: 10.5522/04/22109720
title: CAP-2030 Nepal: Project and dataset description

description: This is a description summary of all the uploaded datasets relating to the projects.
DOI: 10.5522/04/22109720.v1
title: CAP-2030 Nepal: Project and dataset description

description: This is a description summary of all the uploaded datasets relating to the projects.
DOI: 10.5522/04/22109699
title: CAP-2030 Nepal: Biodiversity datasets

description: Features two datasets collected on the biodiversity in Kavre. Categorisation and geolocation of local plants, insects, birds, and other organisms captured via photos in Kavre. These two excel sheets "cap-iNaturalist-Kavre1.xlsx" and "cap-iNaturalist-Kavre2.xlsx" provide biodiversity-related data captured by adolescent secondary school students during a "Citizen Science" project in the district of Kavre in the central hills of Nepal during April 2022. The project was part of a CIFF-funded Children in All Policies 2030 (CAP2030) project. <br> The data and images were captured on android tablets using iNaturalist, an online app used to collect and share biodiversity data (mainly plants and animals) by comparing a photograph of the observation with a digital database. The app had been localised with Nepali language prompt by Kathmandu Living Labs (KLL). Most of the data in these files are not useful to analysis but serve to demonstrate the data collected in the 'back-end' of the iNaturalist app which are processed by the app and presented in a data dashboard. Data on local names, broad taxa and probable species are recorded as well as the geolocation and time/ date of capture. The point of taking the images was to enable Nepalese youth to engage with and identify the biodiversity in their locale and to engender a sense of environmental stewardship, so the data are not arising from systematic sampling or survey methods. The data are useful to demonstrate what can be collected by Nepalese adolescents after and short training session. The photographs taken and the process of using iNaturalist are described in a paper entitled "Citizen science for climate change resilience: engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal" submitted to Wellcome Open Research in Feb 2023. The data contributed to Figure 5 of this paper.
DOI: 10.5522/04/22109699.v1
title: CAP-2030 Nepal: Biodiversity datasets

description: Features two datasets collected on the biodiversity in Kavre. Categorisation and geolocation of local plants, insects, birds, and other organisms captured via photos in Kavre. These two excel sheets "cap-iNaturalist-Kavre1.xlsx" and "cap-iNaturalist-Kavre2.xlsx" provide biodiversity-related data captured by adolescent secondary school students during a "Citizen Science" project in the district of Kavre in the central hills of Nepal during April 2022. The project was part of a CIFF-funded Children in All Policies 2030 (CAP2030) project. <br> The data and images were captured on android tablets using iNaturalist, an online app used to collect and share biodiversity data (mainly plants and animals) by comparing a photograph of the observation with a digital database. The app had been localised with Nepali language prompt by Kathmandu Living Labs (KLL). Most of the data in these files are not useful to analysis but serve to demonstrate the data collected in the 'back-end' of the iNaturalist app which are processed by the app and presented in a data dashboard. Data on local names, broad taxa and probable species are recorded as well as the geolocation and time/ date of capture. The point of taking the images was to enable Nepalese youth to engage with and identify the biodiversity in their locale and to engender a sense of environmental stewardship, so the data are not arising from systematic sampling or survey methods. The data are useful to demonstrate what can be collected by Nepalese adolescents after and short training session. The photographs taken and the process of using iNaturalist are described in a paper entitled "Citizen science for climate change resilience: engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal" submitted to Wellcome Open Research in Feb 2023. The data contributed to Figure 5 of this paper.
DOI: 10.5522/04/22109651
title: CAP-2030 Nepal: Dataset on sociodemographic characteristics, phone and internet access and climate change awareness

description: The Stata data file "CAP_Demographics_Jumla_Kavre_recoded.dta” and equivalent excel file of the same name comprises data collected by adolescent secondary school students during a "Citizen Science" project in the district of Kavre in the central hills of Nepal during April 2022 and in the district of Jumla in the remote mountains of West Nepal during June 2022. The project was part of a CIFF-funded Children in All Policies 2030 (CAP2030) project. <br> The data were generated by the students using a mobile device data collection form developed using "Open Data Kit (ODK) Collect" electronic data collection platform by Kathmandu Living Labs (KLL) and University College London (UCL) for the purposes of this study. Researchers from KLL and UCL trained the adolescents to record basic socio-demographic information about themselves and their households including caste/ethnicity, religion, education, water sources, assets, household characteristics, and income sources. The form also asked about their access to mobile phones or other devices and internet and their concerns with respect to climate change. The resulting data describe the participants in the citizen science project, but their names and addresses have been removed. The app and the process of gathering the data are described in a paper entitled "Citizen science for climate change resilience: engaging adolescents to study climate hazards, biodiversity and nutrition in rural Nepal" submitted to Wellcome Open Research in Feb 2023. The data contributed to Tables 2 and 3 of this paper.