cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc22jr0d
title: CCDC 1922713: Experimental Crystal Structure Determination

description: Related Article: Mohd R. Razali, Stuart R. Batten|2019|J.Mol.Struct.|1198|126928|doi:10.1016/j.molstruc.2019.126928
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.cc22k8mk
title: CCDC 1923228: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Yongfang Shi, Xiaochuan Zou, Yucen He, Xia Wang|2019|CrystEngComm|21|5595|doi:10.1039/C9CE00943D
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.cc233gmb
title: CCDC 1939751: Experimental Crystal Structure Determination

description: Related Article: Taylor Cappadona, Frank R. Fronczek, Andrew W. Maverick|2019|CSD Communication|||
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.cc2394vf
title: CCDC 1945214: Experimental Crystal Structure Determination

description: Related Article: M.M. Fousiamol, M. Sithambaresan, Krishna K. Damodaran, M.R. Prathapachandra Kurup|2020|Inorg.Chim.Acta|501|119301|doi:10.1016/j.ica.2019.119301
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.cc2394wg
title: CCDC 1945215: Experimental Crystal Structure Determination

description: Related Article: M.M. Fousiamol, M. Sithambaresan, Krishna K. Damodaran, M.R. Prathapachandra Kurup|2020|Inorg.Chim.Acta|501|119301|doi:10.1016/j.ica.2019.119301
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.cc2394xh
title: CCDC 1945216: Experimental Crystal Structure Determination

description: Related Article: M.M. Fousiamol, M. Sithambaresan, Krishna K. Damodaran, M.R. Prathapachandra Kurup|2020|Inorg.Chim.Acta|501|119301|doi:10.1016/j.ica.2019.119301
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.cc23f04q
title: CCDC 1948912: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Dirk Holschumacher, Cristian Hrib, Matthias Tamm|2019|CSD Communication|||
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.cc245nww
title: CCDC 1971658: Experimental Crystal Structure Determination

description: Related Article: Arkalekha Mandal, Subhendu Ghosh, Bhaskar Nath, Bhisma Kumar Patel|2020|Inorg.Chim.Acta|503|119399|doi:10.1016/j.ica.2019.119399
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.cc273h1x
title: CCDC 2058928: Experimental Crystal Structure Determination

description: Related Article: Mark M. Turnbull, Jan L. Wikaira|2021|CSD Communication|||
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.20528352
title: ARRIVE guidelines checklist - F1000 report

description: ARRIVE guidelines checklist for F1000 report
DOI: 10.5281/zenodo.7014644
title: Biodiversity Risks and Safeguards of China's Hydropower Financing in BRI Countries: Materials and Data

description: Materials and Data of a One Earth Journal article: Narain D, Teo HC, Lechner AM, Watson JEM, Maron M. 2021. Biodiversity risks and safeguards of China’s hydropower financing in BRI countries. (in press)
DOI: 10.5281/zenodo.7014643
title: Biodiversity Risks and Safeguards of China's Hydropower Financing in BRI Countries: Materials and Data

description: Materials and Data of a One Earth Journal article: Narain D, Teo HC, Lechner AM, Watson JEM, Maron M. 2021. Biodiversity risks and safeguards of China’s hydropower financing in BRI countries. (in press)
DOI: 10.34943/c1a0cb1f-721a-4731-af38-b90ad666db0a
title: Conception Bay Fluorometer Deployed 2022-08-21

description: The Turner Cyclops-7F Fluorometer (S/N 900143) was deployed on 2022-08-21 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Fluorometer. Fluorometers measure the amount of stimulated electromagnetic radiation (fluorescence) produced by pulses of electromagnetic radiation emitted into the water column. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b91d9f10-84d4-45eb-9646-c85da9fcc46b
title: Conception Bay Carbon Dioxide Sensor Deployed 2022-08-21

description: The Pro-Oceanus CO2-Pro CV (SN 41-891-75) was deployed on 2022-08-21 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.20527260.v1
title: Raw microsatellite data of 1926 Galium verum individual ramets

description: Genotyped microsatellite data for 9 markers for 1926 sampled individual ramets from the plant species Galium verum, collected across 35 landscapes in Sweden, Germany and Belgium. The dataset is formatted along the Spagedi-software requirements which was used to calculate the genetic diversity metrics.
DOI: 10.6084/m9.figshare.20527260
title: Raw microsatellite data of 1926 Galium verum individual ramets

description: Genotyped microsatellite data for 9 markers for 1926 sampled individual ramets from the plant species Galium verum, collected across 35 landscapes in Sweden, Germany and Belgium. The dataset is formatted along the Spagedi-software requirements which was used to calculate the genetic diversity metrics.
DOI: 10.6084/m9.figshare.20527824
title: Environmental descriptors of 1926 Galium verum ramets

description: Environmental descriptors of 1926 individual ramets of the plant species Galium verum sampled across 35 landscapes in Sweden, Germany and Belgium. Via their unique ID (Ind), they can be linked to their associated genotype and their geographic position as available in RawMicrosatelliteData.txt in this project folder. <br> The environmental desciptors describe in which country, landscape or element (focal patch [1], stepping stone [4] or linear feature [2 and 3]) the individual was sampled.
DOI: 10.6084/m9.figshare.20527824.v1
title: Environmental descriptors of 1926 Galium verum ramets

description: Environmental descriptors of 1926 individual ramets of the plant species Galium verum sampled across 35 landscapes in Sweden, Germany and Belgium. Via their unique ID (Ind), they can be linked to their associated genotype and their geographic position as available in RawMicrosatelliteData.txt in this project folder. <br> The environmental desciptors describe in which country, landscape or element (focal patch [1], stepping stone [4] or linear feature [2 and 3]) the individual was sampled.
DOI: 10.6084/m9.figshare.20528265
title: Environmental descriptors including landscape and focal genetic diversity for 35 landscapes across Sweden, Germany and Belgium.

description: Environmental descriptors including landscape and focal genetic diversity metrics for 35 landscapes across Sweden, Germany and Belgium in which the grassland perennial plant species Galium verum was sampled. <br> Besides the descriptor "Landscape" making it possible to link these descriptors to the individual ramets in RawMicrosatelliteData.txt and IndividualDescriptor.xlsx, environmental descriptors include structural and inferred functional connectivity and various components which make up the green infrastructure, i.e. amount of semi-natural grassland habitat [ha], amount of road infrastructure [m] and the amount of forest or arable cover [ha]. Further landscape information is provided by the descriptors on "Landscape occupancy of Galium verum" and "Restored", informing on the abundance of Galium verum in the landscape surrounding each focal semi-natural grassland patch [0-1] and whether the focal semi-natural grassland patch has been restored [0/1], respectively. <br> Genetic diversity metrics for sampled Galium verum populations include allelic richness, rarified allelic richness and gametic heterozygosity (calculated using Spagedi-software), both for the focal semi-natural grassland central in each landscape as well as for the entire landscape, i.e. the focal patch + its surrounding landscape (r = 1600 m).
DOI: 10.6084/m9.figshare.20528265.v1
title: Environmental descriptors including landscape and focal genetic diversity for 35 landscapes across Sweden, Germany and Belgium.

description: Environmental descriptors including landscape and focal genetic diversity metrics for 35 landscapes across Sweden, Germany and Belgium in which the grassland perennial plant species Galium verum was sampled. <br> Besides the descriptor "Landscape" making it possible to link these descriptors to the individual ramets in RawMicrosatelliteData.txt and IndividualDescriptor.xlsx, environmental descriptors include structural and inferred functional connectivity and various components which make up the green infrastructure, i.e. amount of semi-natural grassland habitat [ha], amount of road infrastructure [m] and the amount of forest or arable cover [ha]. Further landscape information is provided by the descriptors on "Landscape occupancy of Galium verum" and "Restored", informing on the abundance of Galium verum in the landscape surrounding each focal semi-natural grassland patch [0-1] and whether the focal semi-natural grassland patch has been restored [0/1], respectively. <br> Genetic diversity metrics for sampled Galium verum populations include allelic richness, rarified allelic richness and gametic heterozygosity (calculated using Spagedi-software), both for the focal semi-natural grassland central in each landscape as well as for the entire landscape, i.e. the focal patch + its surrounding landscape (r = 1600 m).
DOI: 10.5281/zenodo.6979590
title: Evaluating Uncertainty in Aerosol Forcing of Tropical Precipitation Shifts

description: This dataset contains simplified data and code to reproduce the main figures in "Evaluating Uncertainty in Aerosol Forcing of Tropical Precipitation Shifts" accepted for publication in Earth System Dynamics, 2022, same authors. A Jupyter notebook and csv data files are provided in each folder to reproduce the respective figure.
DOI: 10.5517/ccdc.csd.cc2bwkmf
title: CCDC 2171445: Experimental Crystal Structure Determination

description: Related Article: Kohei Yamaguchi, Tsukasa Shimizu, Arihito Miura, Kento Ishida, Hiroyuki Kusama|2022|Org.Lett.|24|5807|doi:10.1021/acs.orglett.2c02337
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.cc2c717x
title: CCDC 2181508: Experimental Crystal Structure Determination

description: Related Article: Bao Yu, Mohamed Selkti, Janick Ardisson, Marie-Isabelle Lannou, Geoffroy Sorin|2022|Org.Lett.|24|5721|doi:10.1021/acs.orglett.2c02142
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.6957317
title: ClinSpEn-CT Data: Parallel English-Spanish Biomedical Terminology

description: <strong>UPDATE August 22nd 2022: </strong>The data in this repository has been merged with the rest of the ClinSpEn data, you may access it here: https://doi.org/10.5281/zenodo.6497350 This repository contains the sample, test and background data for the ClinSpEn-Clinical Terms sub-track. The direction of this sub-track is ES&gt;EN. ClinSpEn is part of the Biomedical WMT 2022 shared task, having the aim to promote the development and evaluation of machine translation systems adapted to the medical domain with three highly relevant sub-tracks: clinical cases, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content. The terms were directly extracted from medical literature and clinical records, with particular focus on diseases, symptoms, findings, procedures and professions and translated and revised by professional medical translators. The sample set contains 7 000 terms as a tab-separated file (TSV), with the first column corresponding to English terms and the second column to Spanish terms. The test and background data is made up of a TSV file with two columns: term number and Spanish term. Related Links: <strong>- Sub-track website with more information: </strong>https://temu.bsc.es/clinspen/ <strong>- WMT website: </strong>https://www.statmt.org/wmt22/ <strong>- CodaLab: </strong>https://codalab.lisn.upsaclay.fr/competitions/6696 <strong>- ClinSpEn-CC (Clinical Cases):</strong> https://doi.org/10.5281/zenodo.6497350 <strong>- ClinSpEn-CT (Clinical Terms): </strong>https://doi.org/10.5281/zenodo.6497372 <strong>- ClinSpEn-OC (Ontology Concepts): </strong>https://doi.org/10.5281/zenodo.6497388
DOI: 10.5281/zenodo.6497372
title: ClinSpEn-CT Data: Parallel English-Spanish Biomedical Terminology

description: <strong>UPDATE August 22nd 2022: </strong>The data in this repository has been merged with the rest of the ClinSpEn data, you may access it here: https://doi.org/10.5281/zenodo.6497350 This repository contains the sample, test and background data for the ClinSpEn-Clinical Terms sub-track. The direction of this sub-track is ES&gt;EN. ClinSpEn is part of the Biomedical WMT 2022 shared task, having the aim to promote the development and evaluation of machine translation systems adapted to the medical domain with three highly relevant sub-tracks: clinical cases, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content. The terms were directly extracted from medical literature and clinical records, with particular focus on diseases, symptoms, findings, procedures and professions and translated and revised by professional medical translators. The sample set contains 7 000 terms as a tab-separated file (TSV), with the first column corresponding to English terms and the second column to Spanish terms. The test and background data is made up of a TSV file with two columns: term number and Spanish term. Related Links: <strong>- Sub-track website with more information: </strong>https://temu.bsc.es/clinspen/ <strong>- WMT website: </strong>https://www.statmt.org/wmt22/ <strong>- CodaLab: </strong>https://codalab.lisn.upsaclay.fr/competitions/6696 <strong>- ClinSpEn-CC (Clinical Cases):</strong> https://doi.org/10.5281/zenodo.6497350 <strong>- ClinSpEn-CT (Clinical Terms): </strong>https://doi.org/10.5281/zenodo.6497372 <strong>- ClinSpEn-OC (Ontology Concepts): </strong>https://doi.org/10.5281/zenodo.6497388
DOI: 10.5281/zenodo.6839550
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-05-31/2018-06-02

description: 2018-05-31/2018-06-02
DOI: 10.5281/zenodo.6839549
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-05-31/2018-06-02

description: 2018-05-31/2018-06-02
DOI: 10.17864/1947.000412
title: Raw data of a field experiment to assess the effect of plant residue quality, and diversity, applied as mulch, on nitrogen mineralization and on soil microbial biomass at later stages of decomposition, on crop plant quality, and on the quality of the crop residues at the end of the growing season

description: This dataset concerns a field experiment conducted at the Crop Research Unit of the University of Reading in UK in 2019. Wheat plants were grown in field plots of 1.6 m2, and mulch of diverse plant residues of whole plants were applied. The purpose of the experiment was to assess the effect of quality, and diversity of plant residue mulch on N mineralization and on soil microbial biomass at later stages of decomposition, on crop plant quality, and on the quality of the crop residues at the end of the growing season. There were five different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), iv) Herbal mix (H) (17 plant species), and Wood chips (W), and there was also a Control treatment with no residues. Therefore, there were 6 different treatments in total in 5 replicates. Soil samples were collected on days 25, 52, and 90 after mulch application. The dataset consists of 3 parts: 1) data relevant to the plant residues that were applied as mulch on the field plots, 2) data relevant to the field soil, and 3) data relevant to the wheat plants which were cultivated in the field plots.
DOI: 10.5281/zenodo.7014722
title: The effects of Covid-19 lockdown on health, lifestyle, and wellbeing of children with Type 1 diabetes and their parents in Kuwait

description: This is a full data set to accompany our study, presently in submission. Abstract <strong><em>Objective.</em></strong> The restrictions brought about by Covid-19 pandemic have substantially affected people’s health and rapidly changed their daily routines. This is a prospective study that investigated the impact of the pandemic on primary school children with Type 1 diabetes and their parents during the first lockdown in Kuwait. <strong><em>Methods.</em></strong> A questionnaire battery related to mental health, well-being, and lifestyle was administered at baseline in Summer 2019 (face-to-face, at a diabetes outpatient clinic) and at follow-up during lockdown in Summer 2020 (via telephone, in adherence with Covid-19 restrictions). Data were collected for 70 dyads with children aged 9-12 years. <strong><em>Results.</em></strong> Significant differences were found in most scores for both children and parents. Their mental health worsened to a higher level of depression, anxiety, stress, and a poor level of wellbeing. The average scores on the follow-up tests fell within a clinical range on these measures. Significant differences in their lifestyle, compared to before the lockdown, included decreased levels of physical activity and lower healthy core nutritional intake. <strong><em>Conclusions.</em></strong> Our findings indicate that the Covid-19 lockdown has had a significant psychological and possibly physiological impact on children with Type 1 diabetes and their parents. We conclude that there is a need for mental health support services focusing on these groups. Although full lockdown restrictions will have stopped in the past year, post-pandemic stressors may be expected to continue to adversely affect this cohort.
DOI: 10.5281/zenodo.7014721
title: The effects of Covid-19 lockdown on health, lifestyle, and wellbeing of children with Type 1 diabetes and their parents in Kuwait

description: This is a full data set to accompany our study, presently in submission. Abstract <strong><em>Objective.</em></strong> The restrictions brought about by Covid-19 pandemic have substantially affected people’s health and rapidly changed their daily routines. This is a prospective study that investigated the impact of the pandemic on primary school children with Type 1 diabetes and their parents during the first lockdown in Kuwait. <strong><em>Methods.</em></strong> A questionnaire battery related to mental health, well-being, and lifestyle was administered at baseline in Summer 2019 (face-to-face, at a diabetes outpatient clinic) and at follow-up during lockdown in Summer 2020 (via telephone, in adherence with Covid-19 restrictions). Data were collected for 70 dyads with children aged 9-12 years. <strong><em>Results.</em></strong> Significant differences were found in most scores for both children and parents. Their mental health worsened to a higher level of depression, anxiety, stress, and a poor level of wellbeing. The average scores on the follow-up tests fell within a clinical range on these measures. Significant differences in their lifestyle, compared to before the lockdown, included decreased levels of physical activity and lower healthy core nutritional intake. <strong><em>Conclusions.</em></strong> Our findings indicate that the Covid-19 lockdown has had a significant psychological and possibly physiological impact on children with Type 1 diabetes and their parents. We conclude that there is a need for mental health support services focusing on these groups. Although full lockdown restrictions will have stopped in the past year, post-pandemic stressors may be expected to continue to adversely affect this cohort.