cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4536523
title: Regionally aggregated, stitched and de-drifted CMIP-climate data, processed with netCDF-SCM v2.0.0

description: The world’s most complex climate models are currently running a range of experiments as part of the Sixth Coupled Model<br> Intercomparison Project (CMIP6). Added to the output from the Fifth Coupled Model Intercomparison Project (CMIP5), the<br> total data volume will be in the order of 20PB. Here we present a dataset of annual, monthly, global-, hemispheric- and land/ocean means derived from a selection of experiments of key interest to climate data analysts and reduced complexity climate modellers. The derived dataset is a key part of validating, calibrating and developing simple climate models against the behaviour of physically complete models. In addition to its use for simple climate modellers, we aim to make our data accessible to other research communities. We facilitate this in a number of ways. Firstly, given the focus on annual, monthly, global-, hemispheric- and land/ocean mean quantities, our dataset is orders of magnitude smaller than the source data and hence does not require specialised ‘big data’ expertise. Secondly, again because of its smaller size, we are able to offer our dataset in a text-based format, greatly reducing the computational expertise required to work with CMIP output. Thirdly, we enable data provenance and integrity control by tracking all source metadata and providing tools which check whether a dataset has been retracted, i.e. identified as erroneous. The resulting dataset is updated as new CMIP6 results become available and we provide a stable access point to allow automated downloads. Along with our accompanying website (cmip6.science.unimelb.edu.au), we believe this dataset provides a unique community resource, as well as allowing non-specialists to access CMIP data in a new, user-friendly way.
DOI: 10.5281/zenodo.3951889
title: Regionally aggregated, stitched and de-drifted CMIP-climate data, processed with netCDF-SCM v2.0.0

description: The world’s most complex climate models are currently running a range of experiments as part of the Sixth Coupled Model<br> Intercomparison Project (CMIP6). Added to the output from the Fifth Coupled Model Intercomparison Project (CMIP5), the<br> total data volume will be in the order of 20PB. Here we present a dataset of annual, monthly, global-, hemispheric- and land/ocean means derived from a selection of experiments of key interest to climate data analysts and reduced complexity climate modellers. The derived dataset is a key part of validating, calibrating and developing simple climate models against the behaviour of physically complete models. In addition to its use for simple climate modellers, we aim to make our data accessible to other research communities. We facilitate this in a number of ways. Firstly, given the focus on annual, monthly, global-, hemispheric- and land/ocean mean quantities, our dataset is orders of magnitude smaller than the source data and hence does not require specialised ‘big data’ expertise. Secondly, again because of its smaller size, we are able to offer our dataset in a text-based format, greatly reducing the computational expertise required to work with CMIP output. Thirdly, we enable data provenance and integrity control by tracking all source metadata and providing tools which check whether a dataset has been retracted, i.e. identified as erroneous. The resulting dataset is updated as new CMIP6 results become available and we provide a stable access point to allow automated downloads. Along with our accompanying website (cmip6.science.unimelb.edu.au), we believe this dataset provides a unique community resource, as well as allowing non-specialists to access CMIP data in a new, user-friendly way.
DOI: 10.5281/zenodo.3892089
title: Dedalus output from 2D incompressible MHD fluid on a magnetized beta plane

description: This dataset includes all output from simulations of the 2D incompressible MHD fluid on a magnetized beta plane that were used in the paper: Parker, J. B. and Constantinou, N. C. (2019). Magnetic eddy viscosity of mean shear flows in two-dimensional magnetohydrodynamics. Phys. Rev. Fluids, 4, 083701. DOI: 10.1103/PhysRevFluids.4.083701 Simulations were performed using the spectral code Dedalus.
description: {"references": ["Parker, J. B. and Constantinou, N. C. (2019). Magnetic eddy viscosity of mean shear flows in two-dimensional magnetohydrodynamics. Phys. Rev. Fluids, 4, 083701. DOI: 10.1103/PhysRevFluids.4.083701"]}
DOI: 10.5281/zenodo.3892088
title: Dedalus output from 2D incompressible MHD fluid on a magnetized beta plane

description: This dataset includes all output from simulations of the 2D incompressible MHD fluid on a magnetized beta plane that were used in the paper: Parker, J. B. and Constantinou, N. C. (2019). Magnetic eddy viscosity of mean shear flows in two-dimensional magnetohydrodynamics. Phys. Rev. Fluids, 4, 083701. DOI: 10.1103/PhysRevFluids.4.083701 Simulations were performed using the spectral code Dedalus.
description: {"references": ["Parker, J. B. and Constantinou, N. C. (2019). Magnetic eddy viscosity of mean shear flows in two-dimensional magnetohydrodynamics. Phys. Rev. Fluids, 4, 083701. DOI: 10.1103/PhysRevFluids.4.083701"]}
DOI: 10.5281/zenodo.4879496
title: Identification data of a supercritical carbon dioxide extraction process

description: A pilot-size supercritical carbon dioxide batch extraction system (two-liter reactor) was modeled through data-driven system identification, forming a full simulator consisting of unit process control loops and energy consumption responses. The modeling of the unit processes was based on measurement data gathered by experimental design and careful preliminary examination of the system. The arrangement of the implemented experimental design (central composite design) allowed the exploitation of linear regression analysis. The gathered dynamical data was used in forming state-space representations of the unit processes and energy consumptions. A total of 31 runs were conducted for data gathering, including the 20 runs determined by the experimental design, 9 repetitions and 2 model testing runs. The total duration of the raw data is 34.6 hrs (avg. 1.1 hrs/run) with a sampling time of one second. The experiments determined by the CCD arrangement were split into two sets (runs 1-11 and runs 12-20). These two sets were carried out in consecutive days. Repetition runs of the second set and the two testing data runs were conducted later in discrete time instants. Detailed information of data contents can be found in readme.txt.
DOI: 10.5281/zenodo.4879495
title: Identification data of a supercritical carbon dioxide extraction process

description: A pilot-size supercritical carbon dioxide batch extraction system (two-liter reactor) was modeled through data-driven system identification, forming a full simulator consisting of unit process control loops and energy consumption responses. The modeling of the unit processes was based on measurement data gathered by experimental design and careful preliminary examination of the system. The arrangement of the implemented experimental design (central composite design) allowed the exploitation of linear regression analysis. The gathered dynamical data was used in forming state-space representations of the unit processes and energy consumptions. A total of 31 runs were conducted for data gathering, including the 20 runs determined by the experimental design, 9 repetitions and 2 model testing runs. The total duration of the raw data is 34.6 hrs (avg. 1.1 hrs/run) with a sampling time of one second. The experiments determined by the CCD arrangement were split into two sets (runs 1-11 and runs 12-20). These two sets were carried out in consecutive days. Repetition runs of the second set and the two testing data runs were conducted later in discrete time instants. Detailed information of data contents can be found in readme.txt.
DOI: 10.6084/m9.figshare.14784366
title: Bioactive Volatile Compounds from Penicillium digitatum-Infected Apples: Oviposition Attractants for Conogethes punctiferalis (Lepidoptera: Crambidae)

description: the tripartite relationships among plant-associated microbes, host plants, and herbivorous insects<br>
DOI: 10.6084/m9.figshare.14784366.v2
title: Bioactive Volatile Compounds from Penicillium digitatum-Infected Apples: Oviposition Attractants for Conogethes punctiferalis (Lepidoptera: Crambidae)

description: the tripartite relationships among plant-associated microbes, host plants, and herbivorous insects<br>
DOI: 10.6084/m9.figshare.14784366.v1
title: Bioactive Volatile Compounds from Penicillium digitatum-Infected Apples: Oviposition Attractants for Conogethes punctiferalis (Lepidoptera: Crambidae)

description: the tripartite relationships among plant-associated microbes, host plants, and herbivorous insects<br>
DOI: 10.5281/zenodo.4757573
title: Multi-region multi-sector contributions to drivers of air pollution in China_Datasets

description: This repository contains datasets related to the publication Multi-region multi-sector contributions to drivers of air pollution in China. The SO<sub>2</sub> and NO<sub>x</sub> generation and emissions inventory data are provided in Data Set S1. The GDP data in constant 2010 prices are provided in Data Set S2. The data to generate the figures (Figure 2 to 6 and Figure S1 to S6) are provided in Data Set S3-S13.
DOI: 10.5281/zenodo.4601477
title: Dataset - Smartphones as an Opportunity to Increase Sales in Brick-and-Mortar Stores: Identifying Sales Influencers Based on a Literature Review

description: This is a complementary dataset for DOI: 10.1007/978-3-030-22335-9_6 Following an open data policy as supported by the European Union (https://www.openaire.eu/), this is the dataset used for the following conference paper: Zimmermann R., Auinger A., Riedl R. (2019) <em>Smartphones as an Opportunity to Increase Sales in Brick-and-Mortar Stores: Identifying Sales Influencers Based on a Literature Review</em>. In: Nah FH., Siau K. (eds) HCI in Business, Government and Organizations. eCommerce and Consumer Behavior. HCII 2019. Lecture Notes in Computer Science, vol 11588. Springer, Cham The present work was conducted within the Innovative Training Network project PERFORM funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 765395. The EU Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.6084/m9.figshare.14775828.v4
title: Jolkinolide B alleviates renal fibrosis via anti-inflammation and inhibition of epithelial-mesenchymal transition in unilateral ureteral obstruction mice

description: Renal fibrosis is a crucial pathological change of chronic kidney disease (CKD) resulting in progressive loss of kidney function. Currently, therapeutic strategies for treating renal fibrosis remain limited. Jolkinolide B (JB) is a natural compound with anti-inflammatory activity from <i>Euphorbia fischeriana</i> Steud. We evaluated effect of JB on kidney fibrosis in mice with unilateral ureteral obstruction (UUO). JB (10 and 30 mg/kg) or vehicle was orally administered once daily for 3 days before occlusion, and then was continued for 10 days. Hematoxylin and eosin (H&E) and Masson stain showed that administration of JB (30 mg/kg) could reduce renal fibrosis and attenuate renal injuries. The results showed that JB reduced the release of inflammatory factors such as interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF)-α, and decreased the expression of extracellular matrix proteins such as fibronectin (FN) and collagen I (Col I). Furthermore, treatment with JB down-regulated the protein levels of phosphorylated nuclear factor-kappaB p65 (p-NF-κB) p65, transforming growth factor-β1 (TGF-β1), p-Smad2/3, α-smooth muscle actin (α-SMA), vimentin and up-regulated the protein level of E-cadherin. The facts confirmed that JB might reduce renal fibrosis and protect the kidneys by inhibiting NF-κB and TGF-β1/Smad pathway coincident with epithelial-mesenchymal transition (EMT).
DOI: 10.5281/zenodo.4954124
title: Data of "Quantum Repeater Node Demonstrating Unconditionally Secure Key Distribution"

description: Data published in "<em>Quantum Repeater Node Demonstrating Unconditionally Secure Key Distribution</em>" Phys. Rev. Lett. <strong>126</strong>, 230506
DOI: 10.5281/zenodo.4954123
title: Data of "Quantum Repeater Node Demonstrating Unconditionally Secure Key Distribution"

description: Data published in "<em>Quantum Repeater Node Demonstrating Unconditionally Secure Key Distribution</em>" Phys. Rev. Lett. <strong>126</strong>, 230506
DOI: 10.5517/ccdc.csd.cc2585d1
title: CCDC 2003852: Experimental Crystal Structure Determination

description: Related Article: Gi Uk Han, Yonghyeon Baek, Kyungsup Lee, Seohyun Shin, Hee Chan Noh, Phil Ho Lee|2020|Org.Lett.|23|416|doi:10.1021/acs.orglett.0c03927
DOI: 10.5281/zenodo.4954153
title: Impact of rotation angle on crawling and non-crawling 9-month-old infants' mental rotation ability

description: This is the dataset for our publication "Impact of rotation angle on crawling and non-crawling 9-month-old infants’ mental rotation ability".
DOI: 10.5281/zenodo.4954152
title: Impact of rotation angle on crawling and non-crawling 9-month-old infants' mental rotation ability

description: This is the dataset for our publication "Impact of rotation angle on crawling and non-crawling 9-month-old infants’ mental rotation ability".
DOI: 10.5281/zenodo.4954177
title: Manual exploration of objects is related to 7-month-old infants' visual preference for real objects

description: This is our dataset for our publication "Manual exploration of objects is related to 7-month-old infants’ visual preference for real objects".
DOI: 10.5281/zenodo.4954176
title: Manual exploration of objects is related to 7-month-old infants' visual preference for real objects

description: This is our dataset for our publication "Manual exploration of objects is related to 7-month-old infants’ visual preference for real objects".
DOI: 10.6084/m9.figshare.14558154.v1
title: Data from: Ultrafast high-resolution multi-parametric brain MRI using 3D Echo Planar Time-resolved Imaging

description: Example datasets for multi-parametric brain MRI using 3D-EPTI. 3D-EPTI is a new technique that can provide ultra-fast quantitative imaging with high quality and spatial resolution. Here, we provide simultaneously obtained whole-brain T1, T2, T2*, PD and B1+ maps using three different protocols at three spatial resolution: 1.5 mm, 1 mm and 0.7 mm acquired in 1 min, 3 mins and 9 mins respectively.
DOI: 10.5281/zenodo.4954218
title: Role of manually-generated visual cues in crawling and non-crawling 9-month-old infants' mental rotation

description: This is our dataset for our publication "Role of manually-generated visual cues in crawling and non-crawling 9-month-old infants’ mental rotation".
DOI: 10.5281/zenodo.4954217
title: Role of manually-generated visual cues in crawling and non-crawling 9-month-old infants' mental rotation

description: This is our dataset for our publication "Role of manually-generated visual cues in crawling and non-crawling 9-month-old infants’ mental rotation".
DOI: 10.6084/m9.figshare.14558154
title: Data from: 3D Echo Planar Time-resolved Imaging (3D-EPTI) for ultrafast multi-parametric quantitative MRI

description: Example datasets for multi-parametric brain MRI using 3D-EPTI. 3D-EPTI is a new technique that can provide ultra-fast quantitative imaging with high quality and spatial resolution. Here, we provide simultaneously obtained whole-brain T1, T2, T2*, PD and B1+ maps using three different protocols at three spatial resolution: 1.5 mm, 1 mm and 0.7 mm acquired in 1 min, 3 mins and 9 mins respectively.
DOI: 10.6084/m9.figshare.14558154.v2
title: Data from: 3D Echo Planar Time-resolved Imaging (3D-EPTI) for ultrafast multi-parametric quantitative MRI

description: Example datasets for multi-parametric brain MRI using 3D-EPTI. 3D-EPTI is a new technique that can provide ultra-fast quantitative imaging with high quality and spatial resolution. Here, we provide simultaneously obtained whole-brain T1, T2, T2*, PD and B1+ maps using three different protocols at three spatial resolution: 1.5 mm, 1 mm and 0.7 mm acquired in 1 min, 3 mins and 9 mins respectively.
DOI: 10.15468/kgdbcq
title: data
DOI: 10.5281/zenodo.4954441
title: Guanine, C5H5N5O

description: Guanine, C5H5N5O
DOI: 10.5281/zenodo.4954440
title: Guanine, C5H5N5O

description: Guanine, C5H5N5O
DOI: 10.5281/zenodo.4954444
title: Cytosine, C4H5N3O

description: Cytosine, C4H5N3O
DOI: 10.5281/zenodo.4954443
title: Cytosine, C4H5N3O

description: Cytosine, C4H5N3O
DOI: 10.6084/m9.figshare.14401898
title: Metadata record for the article: Diagnosing delivery capabilities on a large international nature-based solutions project

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Diagnosing delivery capabilities on a large international nature-based solutions project”. The related study developed and deployed an assessment tool to identify barriers to nature-based solutions (NBS) delivery on a European Commission Horizon 2020 project spanning seven cities. Type of data: assessment tool to identify barriers to NBS delivery on a European Commission Horizon 2020 project spanning seven cities <b>Data access</b> The assessment tool to identify barriers to NBS delivery developed and used in the related study is shared openly as part of this <i>figshare </i>data record in the file ‘Success Factors - Diagnostic Survey.xlsx’. The answers to the assessment tool are contained in the file ‘Transcribed_Answers.xls’. However, these data can not be accessed by other researchers as a condition of the ethics approval. These data also underlie Supplementary Table 2 of the related article. <b>Corresponding author(s) for this study</b> Thami Croeser, Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, 411 Swanston Street, Melbourne, Victoria, 3000, Australia. Email: thami.croeser@rmit.edu.au ORCID: https://orcid.org/0000-0003-1966-1864. <br> <b>Study approval </b> RMIT University ethics approval was granted for this research (approval number: CHEAN A 21953).
DOI: 10.6084/m9.figshare.14401898.v1
title: Metadata record for the article: Diagnosing delivery capabilities on a large international nature-based solutions project

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Diagnosing delivery capabilities on a large international nature-based solutions project”. The related study developed and deployed an assessment tool to identify barriers to nature-based solutions (NBS) delivery on a European Commission Horizon 2020 project spanning seven cities. Type of data: assessment tool to identify barriers to NBS delivery on a European Commission Horizon 2020 project spanning seven cities <b>Data access</b> The assessment tool to identify barriers to NBS delivery developed and used in the related study is shared openly as part of this <i>figshare </i>data record in the file ‘Success Factors - Diagnostic Survey.xlsx’. The answers to the assessment tool are contained in the file ‘Transcribed_Answers.xls’. However, these data can not be accessed by other researchers as a condition of the ethics approval. These data also underlie Supplementary Table 2 of the related article. <b>Corresponding author(s) for this study</b> Thami Croeser, Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, 411 Swanston Street, Melbourne, Victoria, 3000, Australia. Email: thami.croeser@rmit.edu.au ORCID: https://orcid.org/0000-0003-1966-1864. <br> <b>Study approval </b> RMIT University ethics approval was granted for this research (approval number: CHEAN A 21953).
DOI: 10.6084/m9.figshare.12345788
title: Small-scale traditional maize farming fosters greater arthropod diversity value than conventional maize farming

description: These data and supplementary material are linked to the publication: <br><b>Otieno, N. E., Jacobs, S.M., and Pryke, J.S. 2021. Small-scale traditional maize farming fosters greater arthropod diversity value than conventional maize farming. Journal of Insect Conservation. DOI:10.1007/s10841-021-00330-x:</b><br><br>
DOI: 10.21227/d95p-qz45
title: AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties

description: AI-Based Secure NOMA and Cognitive Radio enabled GreenCommunications: Channel State Information and BatteryValue Uncertainties
DOI: 10.6084/m9.figshare.14589063
title: Metadata record for the article: Systemic immune reaction in axillary lymph nodes adds to tumor infiltrating lymphocytes in triple-negative breast cancer prognostication

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Systemic immune reaction in axillary lymph nodes adds to tumor infiltrating lymphocytes in triple-negative breast cancer prognostication”. The related study aimed to capture systemic immunity, as identified by histological alterations in cancer-free lymph nodes (LNs), and determine whether this carried clinical importance. Type of data: histopathological assessment of primary tumour and LNs Subject of data: <i>Homo sapiens</i> Sample size: 161 Population characteristics: patients with invasive breast carcinoma of no special type (IBC-NST) treated between 2005 and 2010 at Tianjin Medical University Cancer Hospital, China, consisting of HR-negative patients (HER2-positive or TNBC) with positive LNs and of histological grade 3 <b>Data access</b> All data are openly available together with this data record in the file ‘LymphNodeMorphologicalAssessment_Liu.txt’ (table in tab-separated value format). The table contains count data for the assessment of morphological features of cancer-free and involved lymph nodes of hormone-receptor negative breast cancers. In addition, it lists tumor-infiltrating lymphocytes (TILs) scores, and detailed clinico-pathological data. <b>Corresponding author(s) for this study</b> Dr Anita Grigoriadis, Breast Cancer Now Unit, Innovation Hub, Cancer Center at Guy’s, Great Maze Pond, London, SE1 9RT, UK. Phone: +44 020 7188 2360. e-mail: anita.grigoriadis@kcl.ac.uk<br> <br> <b></b> <b>Study approval </b> Ethical clearance was obtained from the local research ethics committee (Medical Ethics Committee of Tianjin Medical University Cancer Institute and Hospital, Ek2020021).