cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7350484
title: Improving magnetic STEM-differential phase contrast imaging using precession

description: Scanning transmission electron microscopy datasets and processing files used in the journal publication "<strong>Improving Magnetic STEM-Differential Phase Contrast Imaging using Precession</strong>". DOI link to publication: https://doi.org/10.1093/micmic/ozad001 <strong>Prerequisites</strong> To run the scripts necessary to process the files, the open source packages JupyterLab, HyperSpy, pyXem, and fpd need to be installed. These notebooks were created with these package versions: hyperspy 1.6.4 pyxem 0.13.3 fpd 0.2.0 jupyterlab 3.2.0 <strong>Data files and processing scripts</strong> Data files are collected in .zip folders and have names that start with "d00..", while processing scripts are in the Jupyter Notebook .ipynb data format whose names start with "p00..". These files are divided into three main processing steps, outlined as follows: <strong>Processing of raw data</strong>: Raw data files can be found in the d001_scans.zip folder. These are processed with the p002_get_dpc_raw.ipynb script which uses either the center of mass or phase correlation methods. <strong>D-scan correction</strong>: The processed files from the previous step are saved in the d002_dpc_raw.zip folder. The p003_get_dpc_cor.ipynb script performs a d-scan correction on these files and saves the output in the d003_dpc_cor.zip folder. <strong>Virtual segmented detector algorithm</strong>: For comparison purposes to the other processing algorithms, a virtual segmented detector algorithm was developed and can be found in the p004_segmented_detector.ipynb script. This algorithm extracts a linear d-scan plane from already processed phase correlation files found in d002_dpc_raw.zip, subtracts it from the raw data files found in d001_scans.zip, and finally performs the processing algorithm. <strong>Plotting files</strong>:<strong> </strong>The p005_plot_dpc_images.ipynb script creates the figures as seen in the journal publication. The input files are those found in d003_dpc_cor.zip from the previous processing step.
DOI: 10.25919/7qrz-qq28
title: Parkes observations for project P1171 semester 2022OCTS_08

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, since objects of this type have been previously identified as FRB hosts. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve.
DOI: 10.5517/ccdc.csd.cc2b8xq8
title: CCDC 2153530: Experimental Crystal Structure Determination

description: Related Article: Feng Huang, Xiao-Chun Fan, Ying-Chun Cheng, Hao Wu, Yi-Zhong Shi, Jia Yu, Kai Wang, Chun-Sing Lee, Xiao-Hong Zhang|2022|Materials Horizons|9|2226|doi:10.1039/d2mh00511e
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.cc2b97ws
title: CCDC 2153845: Experimental Crystal Structure Determination

description: Related Article: J. Kobayashi, K. Shimura, K. Mikurube, S. Otobe, T. Matsumoto, E. Ishikawa, H. Naruke, T. Ito|2022|Materials|15|2429|doi:10.3390/ma15072429
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.cc2b97xt
title: CCDC 2153846: Experimental Crystal Structure Determination

description: Related Article: J. Kobayashi, K. Shimura, K. Mikurube, S. Otobe, T. Matsumoto, E. Ishikawa, H. Naruke, T. Ito|2022|Materials|15|2429|doi:10.3390/ma15072429
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.cc2b97yv
title: CCDC 2153847: Experimental Crystal Structure Determination

description: Related Article: J. Kobayashi, K. Shimura, K. Mikurube, S. Otobe, T. Matsumoto, E. Ishikawa, H. Naruke, T. Ito|2022|Materials|15|2429|doi:10.3390/ma15072429
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.cc2b97zw
title: CCDC 2153848: Experimental Crystal Structure Determination

description: Related Article: J. Kobayashi, K. Shimura, K. Mikurube, S. Otobe, T. Matsumoto, E. Ishikawa, H. Naruke, T. Ito|2022|Materials|15|2429|doi:10.3390/ma15072429
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.cc2b980y
title: CCDC 2153849: Experimental Crystal Structure Determination

description: Related Article: J. Kobayashi, K. Shimura, K. Mikurube, S. Otobe, T. Matsumoto, E. Ishikawa, H. Naruke, T. Ito|2022|Materials|15|2429|doi:10.3390/ma15072429
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.cc2bf879
title: CCDC 2157700: Experimental Crystal Structure Determination

description: Related Article: Yunfei Zuo, Junkai Liu, Pei Li, Kai Li, Jacky W.Y. Lam, Decheng Wu, Ben Zhong Tang|2023|Cell Reports Physical Science|4|101202|doi:10.1016/j.xcrp.2022.101202
description: Related Article: Yunfei Zuo|2022|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.cc2bf88b
title: CCDC 2157701: Experimental Crystal Structure Determination

description: Related Article: Yunfei Zuo, Junkai Liu, Pei Li, Kai Li, Jacky W.Y. Lam, Decheng Wu, Ben Zhong Tang|2023|Cell Reports Physical Science|4|101202|doi:10.1016/j.xcrp.2022.101202
description: Related Article: Yunfei Zuo|2022|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.cc2bf89c
title: CCDC 2157702: Experimental Crystal Structure Determination

description: Related Article: Yunfei Zuo, Junkai Liu, Pei Li, Kai Li, Jacky W.Y. Lam, Decheng Wu, Ben Zhong Tang|2023|Cell Reports Physical Science|4|101202|doi:10.1016/j.xcrp.2022.101202
description: Related Article: Yunfei Zuo|2022|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.cc2bf8bd
title: CCDC 2157703: Experimental Crystal Structure Determination

description: Related Article: Yunfei Zuo, Junkai Liu, Pei Li, Kai Li, Jacky W.Y. Lam, Decheng Wu, Ben Zhong Tang|2023|Cell Reports Physical Science|4|101202|doi:10.1016/j.xcrp.2022.101202
description: Related Article: Yunfei Zuo|2022|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.cc2bf8cf
title: CCDC 2157704: Experimental Crystal Structure Determination

description: Related Article: Yunfei Zuo, Junkai Liu, Pei Li, Kai Li, Jacky W.Y. Lam, Decheng Wu, Ben Zhong Tang|2023|Cell Reports Physical Science|4|101202|doi:10.1016/j.xcrp.2022.101202
description: Related Article: Yunfei Zuo|2022|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: 10.57810/lattedata/odbrqg
title: Integrando dados e modelos de redes eco-evolutivas e socioeconômicas para entender e prever surtos de doenças tropicais negligenciadas

description: As mudanças globais desafiam os cientistas a desenvolver conhecimento transdisciplinar que une teoria, métodos e big data para sustentar o gerenciamento integrador da biodiversidade, serviços ecossistêmicos e bem-estar socioeconômico. Promover esforços multi-institucionais e transdisciplinares para entender e prever surtos de doenças tropicais negligenciadas (DTN) representa uma excelente oportunidade para combinar abordagens de ciências biológicas e sociais a sistemas complexos e promover estruturas científicas para a formulação de políticas e a otimização da gestão da biodiversidade, serviços ecossistêmicos e saúde pública. Propomos aqui uma abordagem de rede adaptativa para investigar a interface entre biodiversidade e saúde pública no Brasil. Ao fazer isso, nosso objetivo é sintetizar os determinantes biológicos e socioeconômicos dos surtos de DTNs com base na (1) síntese dos big data existentes para parametrizar modelos de rede adaptativos que abrangem interações entre espécies e dados de redes socioeconômicas que descrevem a estrutura da biodiversidade (que sustentam os serviços ecossistêmicos) e a rede institucional de instituições públicas (que sustentam o bem-estar social) nas escalas local, regional e / ou nacional; (2) integração teórica transdisciplinar construída sobre a abordagem de rede para sistemas complexos e particularmente sobre a extensão da abordagem de rede adaptativa para desenvolver modelos empiricamente informados, prevendo surtos de DTN; e (3) a articulação da base de uma rede multi-institucional que une pesquisas sobre biodiversidade e saúde pública e o planejamento estratégico e integrador de políticas públicas. Nossa proposta é baseada na abordagem integrativa fornecida pelas redes adaptativas, que são uma classe geral de modelos de redes dinâmicas que foram amplamente aplicadas para estudar a estrutura e a dinâmica de sistemas complexos em Biologia, Economia e Ciências Sociais. Recentemente, modelos de rede adaptativos têm sido propostos como o núcleo de uma estrutura integradora destinada a promover a pesquisa cooperativa envolvendo cientistas teóricos e aplicados, interessados ​​em entender, prever e gerenciar serviços de ecossistemas. Pretendemos estender essa abordagem para investigar a dinâmica entrelaçada de redes ecológicas, que retratam ecossistemas nos quais os patógenos são incorporados, e redes sociais, que retratam a estrutura de instalações públicas e outros determinantes da saúde. Portanto, esperamos avançar na construção da teoria transdisciplinar na interface entre biodiversidade e saúde pública, disponibilizando publicamente grandes dados biológicos e socioeconômicos associados a uma estrutura preditiva transdisciplinar que mescla ciência, governança e práticas sociais para fortalecer serviços ecossistêmicos e políticas de saúde .
DOI: 10.5281/zenodo.7577778
title: R2D Tool Example E12IstanbulRegionalSeismicRiskAnalysis

description: R2D Tool Example E12IstanbulRegionalSeismicRiskAnalysis
DOI: 10.5281/zenodo.7577777
title: R2D Tool Example E12IstanbulRegionalSeismicRiskAnalysis

description: R2D Tool Example E12IstanbulRegionalSeismicRiskAnalysis
DOI: 10.34740/kaggle/dsv/4000943
title:  EmoDetect
DOI: 10.6084/m9.figshare.21922752.v1
title: Raw, trimmed, and mapped, small RNA seq reads

description: Raw and trimmed small RNA seq reads obtained from <em>Psylliodes chrysocephala </em>treated with double-stranded (ds) RNAs (dsSec23, dsVatpG, or dsGPF). The".bam" files are the output of Bowtie2, representing the coverage of reads perfectly mapping onto the respective dsRNA treatment. "_reads" files are the raw reads obtained by sequencing on a DNBSEQ-G400 platform and the "_trimmed.fq.gz" files represent the reads cleaned from adaptor sequences as well as reads having quality scores below 30 and lengths below 18 nt and above 25. The bam files could be investigated by, for instance, R package "viRome" which can output the coverages per position on the respective dsRNA sequence or directly using a software such as Tablet for which the dsRNA index files are required and also provided here. Of note the dsRNA sequence in the index file dsVatpG_index is antisense of its target gene whereas for dsSec23_index it is in sense direction. Another important note regarding the directionality is that all the raw reads are <br>
DOI: 10.5517/ccdc.csd.cc2bjy50
title: CCDC 2161232: Experimental Crystal Structure Determination

description: Related Article: Feng Huang, Xiao-Chun Fan, Ying-Chun Cheng, Hao Wu, Yi-Zhong Shi, Jia Yu, Kai Wang, Chun-Sing Lee, Xiao-Hong Zhang|2022|Materials Horizons|9|2226|doi:10.1039/d2mh00511e
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.21970604.v1
title: Dataset

description: The provided dataset has two directories: 𝐼𝑚𝑎𝑔𝑒𝑠 and 𝑔𝑟𝑜𝑢𝑛𝑑_𝑡𝑟𝑢𝑡ℎ, and the <em>readme.md</em> file for the description of the dataset folder. The 𝐼𝑚𝑎𝑔𝑒𝑠 directory contains seven sub-directories, one for each of the primary antibody used in the experiments. Inside each directory are grayscale images from fluorescence microscopy. The images were resized to 800𝑥600 pixels.
DOI: 10.6084/m9.figshare.21970604.v2
title: IDCIA Dataset

description: The provided dataset has two directories: 𝐼𝑚𝑎𝑔𝑒𝑠 and 𝑔𝑟𝑜𝑢𝑛𝑑_𝑡𝑟𝑢𝑡ℎ, and the <em>readme.md</em> file for the description of the dataset folder. The 𝐼𝑚𝑎𝑔𝑒𝑠 directory contains seven sub-directories, one for each of the primary antibody used in the experiments. Inside each directory are grayscale images from fluorescence microscopy. The images were resized to 800𝑥600 pixels.
DOI: 10.34740/kaggle/dsv/4907559
title: OntoUML/UFO Catalog
DOI: 10.5517/ccdc.csd.cc2bqqg8
title: CCDC 2166790: Experimental Crystal Structure Determination

description: Related Article: Hunter J. Windsor, William Lewis, Suzanne M. Neville, Samuel G. Duyker, Deanna M. D’Alessandro, Cameron J. Kepert|2022|Chem.Commun.|58|13127|doi:10.1039/D2CC03780G
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.cc2bv1bl
title: CCDC 2169979: Experimental Crystal Structure Determination

description: Related Article: Deepti Gairola, Rama Krishna Peddinti|2022|Asian J.Org.Chem|11|e202200517|doi:10.1002/ajoc.202200517
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.cc2by02d
title: CCDC 2172823: Experimental Crystal Structure Determination

description: Related Article: Natalia Prusinowska, Joanna Szymkowiak, Marcin Kwit|2022|J.Org.Chem.|88|285|doi:10.1021/acs.joc.2c02319
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.19207362
title: Rorippa aquatica genome and annotation

description: Chromosome-level genome sequences and its annotation of <i>Rorippa aquatica.</i><br>
DOI: 10.5519/qd.8106ulwg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (107 records)
DOI: 10.6084/m9.figshare.21153547
title: Diagnosis and functional prediction of microbial markers in tumor tissues of sporadic colorectal cancer patients associated with the MLH1 protein phenotype

description: We explored the feasibility of developing a non-invasive prediction method with high predictive value and designed an experimental study to identify bacterial gene markers in the tumor tissue that are strongly associated with MLH1 protein deficiency.
DOI: 10.6084/m9.figshare.21153547.v6
title: Diagnosis and functional prediction of microbial markers in tumor tissues of sporadic colorectal cancer patients associated with the MLH1 protein phenotype

description: We explored the feasibility of developing a non-invasive prediction method with high predictive value and designed an experimental study to identify bacterial gene markers in the tumor tissue that are strongly associated with MLH1 protein deficiency.
DOI: 10.6084/m9.figshare.21153547.v5
title: Tumor tissues of colorectal cancer

description: Analysis of biomarkers in colorectal cancer
DOI: 10.6084/m9.figshare.18666417
title: Smallholder farmers’ engagement with climate smart agriculture in Africa: role of local knowledge and upscaling

description: Climate-smart agriculture (CSA) is an important discourse among national governments in Africa and international policy circles to increase food productivity, build smallholder farmers’ resilience to climate change, and mitigate greenhouse gas emissions. Despite presenting several potential economic and environmental benefits to farmers, its adoption among African smallholder farmers is low. Two important aspects that influence the adoption of CSA are inclusion and exclusion of farmers’ local knowledge and how CSA is upscaled among smallholder farmers in Africa. This article uses a systematic review methodology to demonstrate that the existing literature (between 2010-2020) on CSA has substantially addressed issues that hinder its upscaling in Africa, such as heterogeneous farming systems, limited finance, high cost of agricultural inputs, and technology. However, only eight of 30 articles included in the systematic review indicate challenges pertaining to inclusion or exclusion of local knowledge in CSA practices and technologies. Policymakers and academics need to rethink how smallholder farmers’ local knowledge can enhance opportunities and fulfil the potential to upscale CSA in Africa. <b>Key policy insights</b>Implementing stronger land tenure regulatory frameworks are critical for upscaling CSA practices and technologies in Africa.Governments and development partners need to implement inclusive financial policies and institutional arrangements in consultation with smallholder farmers to improve upscaling of CSA in Africa.Development partners need to approach local knowledge with care and respect, if CSA is to become more inclusive for smallholder farmers in Africa.Effective scaling of CSA is vital for climate change adaptation and mitigation in Africa. Implementing stronger land tenure regulatory frameworks are critical for upscaling CSA practices and technologies in Africa. Governments and development partners need to implement inclusive financial policies and institutional arrangements in consultation with smallholder farmers to improve upscaling of CSA in Africa. Development partners need to approach local knowledge with care and respect, if CSA is to become more inclusive for smallholder farmers in Africa. Effective scaling of CSA is vital for climate change adaptation and mitigation in Africa.