cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13088233.v1
title: Additional file 6 of Genetic diversity of SAD and FAD genes responsible for the fatty acid composition in flax cultivars and lines

description: Additional file 6. Correlations between polymorphisms in SAD1, SAD2, FAD2A, FAD2B, FAD3A, and FAD3B genes revealed by VarScan and fatty acid composition of flax oil.
DOI: 10.6084/m9.figshare.11979387.v1
title: Additional file 3 of Deep-sea corals provide new insight into the ecology, evolution, and the role of plastids in widespread apicomplexan symbionts of anthozoans

description: Additional file 2. 16S rRNA amplicon screening data. This dataset includes the read counts for all plastotype sequences for all samples.
DOI: 10.11577/1737551
title: Structure of the dopamine D2 receptor in complex with the antipsychotic drug spiperone

description: Please check the README file for more information about the dataset.
DOI: 10.6084/m9.figshare.13466249
title: ConCEPT_KSA_model input_Int. Journal of Sustainable Transportation.xlsx

description: Collection of input data for the KSA case study using Saudi Aramco’s Consumer-Centric Energy Systems Model for Passenger Transport (ConCEPT)
DOI: 10.6084/m9.figshare.13466249.v2
title: ConCEPT_KSA_model input_Int. Journal of Sustainable Transportation.xlsx

description: Collection of input data for the KSA case study using Saudi Aramco’s Consumer-Centric Energy Systems Model for Passenger Transport (ConCEPT)
DOI: 10.6084/m9.figshare.13466249.v1
title: ConCEPT_KSA_model input_Int. Journal of Sustainable Transportation.xlsx

description: Collection of input data for the KSA case study using Saudi Aramco’s Consumer-Centric Energy Systems Model for Passenger Transport (ConCEPT)
DOI: 10.11577/1737645
title: High-Brightness Self-seeded X-ray Free Electron Laser to Precisely Map Macromolecular Structure

description: Two datasets were uploaded. Run numbers #r0101~#r0112 were collected from self-seeded XFEL mode. Run numbers #r0079~#r0088 and #r0090 were collected from SASE mode. The run number is shown in the file name as "ue_191027_SFX_runnumber-c00.cxi.". To understand the effect of self-seeded XFEL source, we used the datasets from run numbers #r0102 to #r0112. Datasets used were randomly chosen. - SS1 is from #r0102~#r0112. - SS2 is from #r0102~#r0105 and #r0109. - SS3 is from #r0104 and #r0105. To compare self-seeded mode and SASE mode, we also used corresponding three SASE datasets labeled as SASE1, SASE2, and SASE3 from run numbers #r0079 to #r0089. Datasets used were randomly chosen. - SASE1 is from #r0079~#r0089. - SASE2 is from #r0080, #r0081, #r0085, #r0087. - SASE3 is composed of #r0079, #r0080.
DOI: 10.5281/zenodo.4383457
title: Model Age Derivation of Large Martian Impact Craters, using automatic crater counting methods / Dataset

description: "counting_area" folder: shapefiles of the mapped ejecta layers considered in this study "scc" folder: .scc files readable on CraterStats listing the size and location of craters detected by our CDA and recognized as primaries by the ASCI. The counting area considered for each crater slightly vary from the area indicated in the shapefile due to the removal of Thiessen polygons associated to secondary craters by the ASCI. The ASCI code and toolbox implementable to ESRI ArcGIS (10.6) is discoverable here: https://github.com/curtin-crater-detection/secondary-crater-removal<br>
DOI: 10.5281/zenodo.4383456
title: Model Age Derivation of Large Martian Impact Craters, using automatic crater counting methods / Dataset

description: "counting_area" folder: shapefiles of the mapped ejecta layers considered in this study "scc" folder: .scc files readable on CraterStats listing the size and location of craters detected by our CDA and recognized as primaries by the ASCI. The counting area considered for each crater slightly vary from the area indicated in the shapefile due to the removal of Thiessen polygons associated to secondary craters by the ASCI. The ASCI code and toolbox implementable to ESRI ArcGIS (10.6) is discoverable here: https://github.com/curtin-crater-detection/secondary-crater-removal<br>
DOI: 10.21227/yk1b-xk23
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-ScalePeer-to-Peer_Transactive_Energy _Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-ScalePeer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/c9rk-7173
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 284,490 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21227/tv4k-9t38
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/nget-w388
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/k02w-8x70
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-ScalePeer-to-Peer_Transactive_Energy _Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-ScalePeer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/nkkm-4582
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/s0de-v358
title: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy_Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/8kqf-2e31
title: Supplementary Dataset_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy_Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.21227/qd17-ca68
title: Supplementary Dataset_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy_Trading

description: Data_For_A_Scalable_Privacy-Preserving_Multi-agent_Deep_Reinforcement_Learning_Approach_for_Large-Scale_Peer-to-Peer_Transactive_Energy _Trading
DOI: 10.25919/j2q1-fa71
title: Parkes observations for project P1069 semester 2020APRS_08

description: We propose to carry out Parkes follow-up observations of pulsar candidates identified in the Rapid ASKAP Continuum Survey (RACS). This is the first all-sky pulsar survey in the imaging domain in the southern hemisphere thanks to ASKAP. Eight sources have been selected because of (1) their very high fraction of circular polarisation; (2) their lack of optical counterparts; (3) strong variability, which might indicate either strong interstellar scintillation or eclipsing by companion stars if in binaries; (4) the non-detection of these relatively bright sources in previous pulsar surveys, which might indicate extreme nature of these candidates. High time and frequency resolution targeted search with UWL are proposed. Such observations will enable us to carry out deep searches of pulsars with very short spin periods or in compact binaries.
DOI: 10.6084/m9.figshare.5928466
title: All data deposited Hubbart at al .xlsx

description: High sunlight can raise plant growth rates but can potentially cause cellular damage. The likelihood of deleterious effects is lowered by a sophisticated set of photoprotective mechanisms, one of the most important being the controlled dissipation of energy from chlorophyll within photosystem II (PSII) measured as non-photochemical quenching (NPQ). Although ubiquitous, the role of NPQ in plant productivity remains uncertain because it momentarily reduces the quantum efficiency of photosynthesis. Here we used plants over- expressing the gene encoding a central regulator of NPQ, the protein PsbS, within a major crop species (rice) to assess the effect of photoprotection at the whole canopy scale. We accounted for canopy light interception, to our knowledge for the first time in this context. We show that in comparison to wild-type plants, psbS overexpressors increased canopy radiation use efficiency and grain yield in fluctuating light, demonstrating that photo- protective mechanisms should be altered to improve rice crop productivity.
DOI: 10.6084/m9.figshare.5928466.v1
title: All data deposited Hubbart at al .xlsx

description: High sunlight can raise plant growth rates but can potentially cause cellular damage. The likelihood of deleterious effects is lowered by a sophisticated set of photoprotective mechanisms, one of the most important being the controlled dissipation of energy from chlorophyll within photosystem II (PSII) measured as non-photochemical quenching (NPQ). Although ubiquitous, the role of NPQ in plant productivity remains uncertain because it momentarily reduces the quantum efficiency of photosynthesis. Here we used plants over- expressing the gene encoding a central regulator of NPQ, the protein PsbS, within a major crop species (rice) to assess the effect of photoprotection at the whole canopy scale. We accounted for canopy light interception, to our knowledge for the first time in this context. We show that in comparison to wild-type plants, psbS overexpressors increased canopy radiation use efficiency and grain yield in fluctuating light, demonstrating that photo- protective mechanisms should be altered to improve rice crop productivity.
DOI: 10.6084/m9.figshare.13469961
title: Interactions between nitrogen nutrition, canopy architecture and photosynthesis in rice, assessed using high resolution 3D reconstruction

description: Increasing nitrogen use efficiency (NUE) is a key target for yield improvement programmes. Here we identify features of rice canopy architecture during altered N availability and link them to photosynthetic productivity. Empirical mathematical modelling, high-resolution 3-dimensional (3D) reconstruction and gas exchange measurements were employed to investigate the effect of a mild N deficiency versus surplus N application on canopy architecture, light and photosynthesis distribution throughout development. Three contrasting rice lines: two Malaysian rice varieties (MR219 and MR253) and a high-yielding indica cultivar (IR64) were cultivated. 3D reconstruction indicated key N-dependent differences in plant architecture and canopy light distribution including changes to leaf area index (LAI), tiller number, leaf angle and modelled light extinction coefficients. Measured leaf photosynthetic capacity did not differ substantially between the high and reduced N treatments, however, modelled canopy photosynthesis rate indicated a higher carbon gain per unit leaf area for the reduced N treatment but a higher carbon gain per unit ground area for the high N treatment. This is a result of altered canopy structure leading to increased light distribution under reduced N which partially offsets the reduced LAI. Within rice, altered N availability results in the development of full photosynthetically functional leaves, but leads to altered canopy architecture, light distribution and overall productivity suggested that N availability can be fine-tuned to optimise biomass production. We propose wider use of 3D reconstruction to assess canopy architecture and productivity under differing N availabilities for a range of species.
DOI: 10.6084/m9.figshare.13469961.v2
title: Interactions between nitrogen nutrition, canopy architecture and photosynthesis in rice, assessed using high resolution 3D reconstruction

description: Increasing nitrogen use efficiency (NUE) is a key target for yield improvement programmes. Here we identify features of rice canopy architecture during altered N availability and link them to photosynthetic productivity. Empirical mathematical modelling, high-resolution 3-dimensional (3D) reconstruction and gas exchange measurements were employed to investigate the effect of a mild N deficiency versus surplus N application on canopy architecture, light and photosynthesis distribution throughout development. Three contrasting rice lines: two Malaysian rice varieties (MR219 and MR253) and a high-yielding indica cultivar (IR64) were cultivated. 3D reconstruction indicated key N-dependent differences in plant architecture and canopy light distribution including changes to leaf area index (LAI), tiller number, leaf angle and modelled light extinction coefficients. Measured leaf photosynthetic capacity did not differ substantially between the high and reduced N treatments, however, modelled canopy photosynthesis rate indicated a higher carbon gain per unit leaf area for the reduced N treatment but a higher carbon gain per unit ground area for the high N treatment. This is a result of altered canopy structure leading to increased light distribution under reduced N which partially offsets the reduced LAI. Within rice, altered N availability results in the development of full photosynthetically functional leaves, but leads to altered canopy architecture, light distribution and overall productivity suggested that N availability can be fine-tuned to optimise biomass production. We propose wider use of 3D reconstruction to assess canopy architecture and productivity under differing N availabilities for a range of species.
DOI: 10.6084/m9.figshare.13469961.v1
title: Interactions between nitrogen nutrition, canopy architecture and photosynthesis in rice, assessed using high resolution 3D reconstruction

description: Increasing nitrogen use efficiency (NUE) is a key target for yield improvement programmes. Here we identify features of rice canopy architecture during altered N availability and link them to photosynthetic productivity. Empirical mathematical modelling, high-resolution 3-dimensional (3D) reconstruction and gas exchange measurements were employed to investigate the effect of a mild N deficiency versus surplus N application on canopy architecture, light and photosynthesis distribution throughout development. Three contrasting rice lines: two Malaysian rice varieties (MR219 and MR253) and a high-yielding indica cultivar (IR64) were cultivated. 3D reconstruction indicated key N-dependent differences in plant architecture and canopy light distribution including changes to leaf area index (LAI), tiller number, leaf angle and modelled light extinction coefficients. Measured leaf photosynthetic capacity did not differ substantially between the high and reduced N treatments, however, modelled canopy photosynthesis rate indicated a higher carbon gain per unit leaf area for the reduced N treatment but a higher carbon gain per unit ground area for the high N treatment. This is a result of altered canopy structure leading to increased light distribution under reduced N which partially offsets the reduced LAI. Within rice, altered N availability results in the development of full photosynthetically functional leaves, but leads to altered canopy architecture, light distribution and overall productivity suggested that N availability can be fine-tuned to optimise biomass production. We propose wider use of 3D reconstruction to assess canopy architecture and productivity under differing N availabilities for a range of species.
DOI: 10.5281/zenodo.3906624
title: Data set: Who Really Cares? A Study about the Knowledgeand Use of Requirements Engineering Standards inIndustry

description: This package containts the data for the study described in the manuscript "Who Really Cares? A Study about the Knowledge and Use of Requirements Engineering Standards inIndustry" submitted to the Requirements Engineering Journal. The study comprehends an online survey with the aim to better understand the knowledge and use of RE or RE-related standard by software practitioners. The current version of the data set is anonymised for the purpose of complying with the double blind reviewing format and entails: - Codebook<br> - Raw data<br> - Results from the analysis with respect to research questions one to four Upon potential acceptance of the manuscript, the dataset will include the authors' names.
DOI: 10.6084/m9.figshare.10718282.v7
title: Dataset for omicwas

description: The omicwas package implements ridge regression for cell-type-specific EWAS and differential gene expression. This dataset includes R notebooks and R data files for using omicwas.
DOI: 10.6084/m9.figshare.13474635
title: synthetic velocity files

description: The velocity files used in Fig.5-11 of "Locating microseismic events using both head and direct waves travelling in vertical transverse isotropic media"
DOI: 10.6084/m9.figshare.13474635.v1
title: synthetic velocity files

description: The velocity files used in Fig.5-11 of "Locating microseismic events using both head and direct waves travelling in vertical transverse isotropic media"
DOI: 10.17632/vg8hzt84vh.1
title: Data for: An evaluation of the current Mentorship/Preceptorship practices for newly qualified Radiographers in Northern Ireland

description: There is limited literature regarding the transition of a newly qualified Radiographer into the workforce. This evaluation reviewed the current mentorship/preceptorship practises performed within Northern Ireland Trusts and sought opinions of Radiology Managers who prescribed, and newly qualified Radiographers who received, the programme. It established the effectiveness of mentorship/preceptorship practises currently delivered regionally, and determined whether it satisfied both parties in offering a thorough and consistent approach, capable of developing a confident and by measurable outcome, competent workforce. Benefits and limitations were identified in the current practise cited by those involved in the mentorship/preceptorship strategies and the discussion offers suggestions towards adopting/ creating a regional practice similar to that practiced in other parts of the UK. This in turn would promote best practise in welcoming the newly qualified Radiographer into their inaugural post and ensure comparable competency in practise across Northern Ireland.
DOI: 10.5281/zenodo.4007668
title: Identification of AKARI infrared sources by Deep HSC Optical Survey: Construction of New Band-Merged Catalogue on the NEP-Wide field

description: The corresponding paper published in MNRAS. https://10.1093/mnras/staa3359
DOI: 10.5281/zenodo.4007667
title: Identification of AKARI infrared sources by Deep HSC Optical Survey: Construction of New Band-Merged Catalogue on the NEP-Wide field

description: The corresponding paper published in MNRAS. https://10.1093/mnras/staa3359
DOI: 10.17632/8nyxy9wdvg.1
title: Data for: Revisiting the Solow Growth Model: New Empirical Evidence on the Convergence Debate

description: This document includes dataset in the paper "Revisiting the Solow Growth Model: New Empirical Evidence on the Convergence Debate"
DOI: 10.17632/st25z5rr5j.1
title: Data for: Gains from Trade: Does Sectoral Heterogeneity Matter?

description: Code to estimate trade elasticities, as well as to run simulations of model; Data for both estimation and simulations.
DOI: 10.17632/rsb4p9wht9.1
title: Evidence for a Stratified Lunar Mantle Preserved within the South Pole – Aitken Basin

description: Derived data products for the JGR: Planets publication of the same name (Evidence for a Stratified Lunar Mantle Preserved within the South Pole – Aitken Basin). Fig 5 data is in csv format. Fig S2 data is in ENVI standard format.
DOI: 10.17632/csx857s3d2.1
title: Hoboken Groundwater Data

description: Data and Matlab code for plotting the data.
DOI: 10.17632/gvzvxkd5ns.3
title: Model of options to test for peripheral arterial disease in diabetic patients

description: Model of options to test for peripheral arterial disease in diabetic patients without foot ulcer
DOI: 10.17632/j3hj76y3kr.2
title: Design and Manufacturability Data on Additively Manufactured Solutions for COVID-19

description: This dataset consists of the design and manufacturability data for twenty-six engineering design solutions for the COVID-19 pandemic spanning three categories: (1) face masks (N = 12), (2) face shields (N = 6), and (3) hands-free door openers (N = 8). The designs were collected from open-source websites and were then simulated for their manufacturability using Ultimaker Cura software (https://ultimaker.com/software/ultimaker-cura). This dataset comprises (1) the STL files for the designs, (2) the simulated manufacturability data, and (3) images representing the orientation used in these manufacturability simulations.
DOI: 10.17632/7dt4trtrkd.1
title: Adjusted SRTM DEM of Owerri, South East Nigeria

description: Global Positioning System (GPS) Fast Static survey was used to coordinated 69 ground control points across the project area, which was a terrain of less than 6% slopes. Elevations of the control points were referenced to the same EGM 96 geoid as the SRTM 3 arc seconds (3") DEM. Errors of the SRTM (3") DEM were determined at the control points by subtracting the elevations of the control points from those of the SRTM DEM. An adjustment surface Raster was constructed for the SRTM (3”) DEM using kriging interpolation. The adjustment Raster was applied to the SRTM (3”) DEM of Owerri, South East Nigeria and it resulted in an adjusted SRTM dataset over the project area with error statistics reduced from average of -4.34 m and RMSE of ±4.90 to -0.17 m and RMSE ±2.42 m.
DOI: 10.17632/nf2cmz8xsp.1
title: Choosing an Electoral System

description: Supporting data for article of the same name