cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2k70rl
title: CCDC 2360239: Experimental Crystal Structure Determination

description: Related Article: Artemis Saddington, Shicheng Dong, Shenglai Yao, Jun Zhu, Matthias Driess|2024|Angew.Chem.,Int.Ed.|63|e202410790|doi:10.1002/anie.202410790
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.cc2k70sm
title: CCDC 2360240: Experimental Crystal Structure Determination

description: Related Article: Artemis Saddington, Shicheng Dong, Shenglai Yao, Jun Zhu, Matthias Driess|2024|Angew.Chem.,Int.Ed.|63|e202410790|doi:10.1002/anie.202410790
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.cc2k70tn
title: CCDC 2360241: Experimental Crystal Structure Determination

description: Related Article: Artemis Saddington, Shicheng Dong, Shenglai Yao, Jun Zhu, Matthias Driess|2024|Angew.Chem.,Int.Ed.|63|e202410790|doi:10.1002/anie.202410790
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.17677412
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677413
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5517/ccdc.csd.cc2k06yr
title: CCDC 2353704: Experimental Crystal Structure Determination

description: Related Article: Shuai Lu, Ziang Zhang, Yiying Zhu, Ye Tao, Quanjie Lin, Qian Zhang, Xin Lv, Lei Hua, Zhi Chen, Heng Wang, Gui-Lin Zhuang, Qian-Chong Zhang, Cunlan Guo, Xiaopeng Li, Xiujun Yu|2024|Angew.Chem.,Int.Ed.|63|e202410710|doi:10.1002/anie.202410710
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.cc2k70vp
title: CCDC 2360242: Experimental Crystal Structure Determination

description: Related Article: Artemis Saddington, Shicheng Dong, Shenglai Yao, Jun Zhu, Matthias Driess|2024|Angew.Chem.,Int.Ed.|63|e202410790|doi:10.1002/anie.202410790
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.4pbwh2
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is CHN.13_1",
 "IucnRedListCategory is one of (NT, VU, EN, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2025"
 ]
}

 The dataset includes 1036 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17749250
title: PolyCLEAN simulations
DOI: 10.5281/zenodo.17749251
title: PolyCLEAN simulations
DOI: 10.5281/zenodo.17677416
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677417
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.vmuzn5
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lyciasalamandra billae"
 ]
}

 The dataset includes 91 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7114
title: CATS-58
DOI: 10.3886/e240743
title: ‘Influence of Aversive Childhood Experiences and Agreeableness on Alcohol Use Among Emerging Adults: Role of Cognitive Flexibility and Resilience’

description: The study aimed to explore the effects of aversive childhood experiences and agreeableness on an individual's alcohol consumption. Due to the scarcity of studies exploring the mediating role of cognitive flexibility and resilience in this relationship, the current study focused on covering this gap. <br>The research findings concluded that both aversive childhood experiences and agreeableness have an influence on the individual's alcohol use. Cognitive flexibility mediated both of the relationships, and resilience acted at a mediator between aversive childhood experiences and cognitive flexibility.<br>
description: N/A
description: Response Rates: Out of 530 individuals contacted, 370 participated, ensuring a 70% response rate.<br>Further screening and data cleaning was done, and the total number of responses used for the study is 302.
description: Presence of Common Scales: 1) Childhood Trauma Scale for Aversive Childhood Experiences<br>2) Agreeableness subset from Neo-FFI for Agreeableness<br>3) Brief Resilience Scale for Resilience<br>4) Cognitive Flexibility Scale for Cognitive Flexibility<br>5) Alcohol Use Disorders Identification Test (AUDIT) for Alcohol Use
description: Purposive sampling was conducted, and individuals in the range of 18 to 29 years (emerging adulthood) participated.
description: Emerging adults (18-29 years olds) in India. Smallest Geographic Unit: N/A
description: web-based survey;
DOI: 10.3886/e240743v1
title: ‘Influence of Aversive Childhood Experiences and Agreeableness on Alcohol Use Among Emerging Adults: Role of Cognitive Flexibility and Resilience’

description: The study aimed to explore the effects of aversive childhood experiences and agreeableness on an individual's alcohol consumption. Due to the scarcity of studies exploring the mediating role of cognitive flexibility and resilience in this relationship, the current study focused on covering this gap. <br>The research findings concluded that both aversive childhood experiences and agreeableness have an influence on the individual's alcohol use. Cognitive flexibility mediated both of the relationships, and resilience acted at a mediator between aversive childhood experiences and cognitive flexibility.<br>
description: N/A
description: Response Rates: Out of 530 individuals contacted, 370 participated, ensuring a 70% response rate.<br>Further screening and data cleaning was done, and the total number of responses used for the study is 302.
description: Presence of Common Scales: 1) Childhood Trauma Scale for Aversive Childhood Experiences<br>2) Agreeableness subset from Neo-FFI for Agreeableness<br>3) Brief Resilience Scale for Resilience<br>4) Cognitive Flexibility Scale for Cognitive Flexibility<br>5) Alcohol Use Disorders Identification Test (AUDIT) for Alcohol Use
description: Purposive sampling was conducted, and individuals in the range of 18 to 29 years (emerging adulthood) participated.
description: Emerging adults (18-29 years olds) in India. Smallest Geographic Unit: N/A
description: web-based survey;
DOI: 10.5281/zenodo.17749590
title: 20251128_Isa
DOI: 10.5281/zenodo.17749589
title: 20251128_Isa
DOI: 10.5281/zenodo.17591185
title: A helper NLR channels organellar calcium to trigger plant immunity

description: Supplementary data for submitted manuscript 'A helper NLR channels organellar calcium to trigger plant immunity'.

File structure:

Data S1. Annotated protein sequences and amino acid alignment of NbNRG1, NbNRG1 truncates and AtNRG1.

Data S2. Calcium sensor intensity and TOC64 co-localisation raw data.

Data S3. HR 800 nm fluorescence raw data.

Data S4. Taxonomy and metadata of genomes used in this study.

Data S5. Amino acid sequences and metadata of the genes used in the phylogenetic analysis in this study.

Data S6. Amino acid sequences of NB-ARC domains used for the phylogenetic analysis in this study.

Data S7. Amino acid alignment of NB-ARC domains used for the phlogenetic analysis in this study.

Data S8. Phylogenetic tree of all genes used for phylogenetic analysis in this study.

Data S9. Phylogenetic tree of RefSeq CCR-NLRs with extracted CCR-NLRs from Chia et al. (2024).

Data S10. Phylogenetic tree of RefSeq CCR-NLRs, extracted CCR-NLRs from Chia et al. (2024), and sequences from Vicia faba and Glycine sojae.

Data S11. Amino acid sequences and the MEME outputs for the RPW8 CC domain of the four CCR clade.

Data S12. Hidden Markov Model profiles and HMMsearch output of the N-terminal motifs from the four CCR clades.

Data S13. AF3 data for the CC-NLR resistosome structural models.
DOI: 10.5281/zenodo.17718394
title: Comparison of NIPT Results and Ultrasonographic Findings

description: This dataset contains a comprehensive set of prenatal data for samples from GROUP A. It includes initial screening results from Non-Invasive Prenatal Testing (NIPT), detailed ultrasound findings of structural anomalies, and confirmatory diagnostic results from Chromosomal Microarray Analysis (CMA).
DOI: 10.5281/zenodo.17718395
title: Comparison of NIPT Results and Ultrasonographic Findings

description: This dataset contains a comprehensive set of prenatal data for samples from GROUP A. It includes initial screening results from Non-Invasive Prenatal Testing (NIPT), detailed ultrasound findings of structural anomalies, and confirmatory diagnostic results from Chromosomal Microarray Analysis (CMA).
DOI: 10.5286/isis.e.rb2569006-1
title: Investigating the ionomer structure and interactions in the PEM fuel cell ink by SANS

description: The proton exchange membrane (PEM) fuel cell is the preferred choice when it comes to power a vehicle by hydrogen. The heart of the fuel cell system is an electrochemical cell, which consists of a membrane sandwiched between two catalyst layers electrodes. During the process of making the catalyst layers, platinum supported on carbon (Pt/C) particles are mixed with ionomer, alcohol, and water. This colloidal suspension is referred to as "ink" The state of the materials within the ink has a huge effect on the final performance and durability of the PEM fuel cell. Previous SANS experiments at ISIS have shown to be very useful to understand the change of the ionomer as a function of the amount of alcohol applied in a dispersion. The SANS helped to create understanding why the addition of alcohol is so important for the ink. 

To deeply understand how the ionomer influences the ink structure, it is a necessity to add the Pt/C particles. Ideally, the Pt/C particles would be contrast matched, so that only the ionomer can be observed. For our purposes, the goal would be to use CV-SANS to understand how the ionomer structure evolves around Pt/C particles. The goal would be to quantify the ionomer layer thickness on the Pt/C particles and the amount of free ionomer, which is in the dispersion not deposited on a Pt/C particle.
DOI: 10.5286/isis.e.rb2569006
title: Investigating the ionomer structure and interactions in the PEM fuel cell ink by SANS

description: The proton exchange membrane (PEM) fuel cell is the preferred choice when it comes to power a vehicle by hydrogen. The heart of the fuel cell system is an electrochemical cell, which consists of a membrane sandwiched between two catalyst layers electrodes. During the process of making the catalyst layers, platinum supported on carbon (Pt/C) particles are mixed with ionomer, alcohol, and water. This colloidal suspension is referred to as "ink" The state of the materials within the ink has a huge effect on the final performance and durability of the PEM fuel cell. Previous SANS experiments at ISIS have shown to be very useful to understand the change of the ionomer as a function of the amount of alcohol applied in a dispersion. The SANS helped to create understanding why the addition of alcohol is so important for the ink. 

To deeply understand how the ionomer influences the ink structure, it is a necessity to add the Pt/C particles. Ideally, the Pt/C particles would be contrast matched, so that only the ionomer can be observed. For our purposes, the goal would be to use CV-SANS to understand how the ionomer structure evolves around Pt/C particles. The goal would be to quantify the ionomer layer thickness on the Pt/C particles and the amount of free ionomer, which is in the dispersion not deposited on a Pt/C particle.
DOI: 10.5286/isis.e.rb2410742-1
title: Assessment of the Levitation Effect by Quasielastic Neutron Scattering. Is There a Role for Phonons?

description: In certain circumstances it has been shown that a molecule confined in a pore can diffuse at a higher rate than might be expected as the guest 'levitates' in the pore centre and does not adhere to the pore wall. We want to investigate this effect and the role of phonon-coupling using a well defined model system.
DOI: 10.5286/isis.e.rb2410742
title: Assessment of the Levitation Effect by Quasielastic Neutron Scattering. Is There a Role for Phonons?

description: In certain circumstances it has been shown that a molecule confined in a pore can diffuse at a higher rate than might be expected as the guest 'levitates' in the pore centre and does not adhere to the pore wall. We want to investigate this effect and the role of phonon-coupling using a well defined model system.
DOI: 10.5281/zenodo.17677421
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677420
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.34740/kaggle/dsv/13907798
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17677428
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp245 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677429
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp245 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677434
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp370 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677433
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp370 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677437
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp585 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677438
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp585 -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677447
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level 10m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17677446
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level 10m, Global model EC-EARTH3, scenario Historical -  The North-east of the Netherlands (HUAS)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.