cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17085479
title: Data of physiological

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat.This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after0、3、5 and 7 days of drought and after-rewatering-3day. The objective of the present study was to increase the information about the effect of drought on the physiological characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.6084/m9.figshare.17085479.v1
title: Data of physiological

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat.This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after0、3、5 and 7 days of drought and after-rewatering-3day. The objective of the present study was to increase the information about the effect of drought on the physiological characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.5517/ccdc.csd.cc289d99
title: CCDC 2094400: Experimental Crystal Structure Determination

description: Related Article: Zhijun Zuo, Constantin G. Daniliuc, Armido Studer|2021|Angew.Chem.,Int.Ed.|60|25252|doi:10.1002/anie.202110304
DOI: 10.5517/ccdc.csd.cc28j296
title: CCDC 2100817: Experimental Crystal Structure Determination

description: Related Article: Tim Helbing, Mats Georg, Fabian Stöhr, Caterina Carraro, Jonathan Becker, Barbara Gatto, Richard Göttlich|2021|Eur.J.Org.Chem.|2021|5905|doi:10.1002/ejoc.202101072
DOI: 10.5517/ccdc.csd.cc28j2b7
title: CCDC 2100818: Experimental Crystal Structure Determination

description: Related Article: Tim Helbing, Mats Georg, Fabian Stöhr, Caterina Carraro, Jonathan Becker, Barbara Gatto, Richard Göttlich|2021|Eur.J.Org.Chem.|2021|5905|doi:10.1002/ejoc.202101072
DOI: 10.5517/ccdc.csd.cc28wh0p
title: CCDC 2111782: Experimental Crystal Structure Determination

description: Related Article: Jiang Nan, Jiacheng Yin, Xue Gong, Yan Hu, Yangmin Ma|2021|Org.Lett.|23|8910|doi:10.1021/acs.orglett.1c03404
DOI: 10.21227/4tg2-f112
title: Modified MADDPG

description: In this paper, we consider unmanned aerial vehicles (UAVs) equipped with a visible light communication (VLC) access point and coordinated multipoint (CoMP) capability that allows users to connect to more than one UAV. UAVs can move in 3-dimensional (3D) at a constant acceleration, where a central server is responsible for synchronization and cooperation among UAVs. The effect of accelerated motion in UAV is necessary to be considered. We define the data rate for each user type, CoMP, and non-CoMP. Unlike most existing works, we examine the effects of variable speed on kinetics and radio resource allocations. For the proposed system model, we define two different time frames. In the frames, the acceleration of each UAV is specified, and in each slot, radio resources are allocated. The initial velocity in each slot is obtained from the previous time slot's velocity. Our goal is to formulate a multiobjective optimization problem where the total data rate is maximized and the total communication power consumption is minimized simultaneously. To handle this multiobjective optimization, we first apply the scalarization method and then apply multi-agent deep deterministic policy gradient (MADDPG) which is a multi-agent method based on deep deterministic policy gradient (DDPG) that ensures stable and fast convergence. We improve this solution method by adding two critic networks together with two-stage resources allocation. Simulation results indicate that the constant acceleration motion of UAVs shows about $8 \%$ better results than conventional motion systems in terms of performance. Furthermore, CoMP supports the system to achieve on average $12 \%$ higher rates compared to a non-CoMP system.
DOI: 10.6084/m9.figshare.17075117
title: Data of morphological characteristics

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat.This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after 0、3、5 and 7 days of drought and after-rewatering 3days. The objective of the present study was to increase the information about the effect of drought on the physicochemical characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.6084/m9.figshare.17075117.v2
title: Data of morphological characteristics

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat.This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after 0、3、5 and 7 days of drought and after-rewatering 3days. The objective of the present study was to increase the information about the effect of drought on the physicochemical characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.6084/m9.figshare.17075117.v1
title: Data for physiological

description: 磷胁迫和干旱胁迫是小麦常见的非生物胁迫。This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after 0、3、5 and 7 days of drought and after-rewatering 3days. The objective of the present study was to increase the information about the effect of drought on the physicochemical characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.6084/m9.figshare.17085536
title: Supplementary Material for: Geographical Distribution of Emergency Services Times in Traffic Accidents in Extremadura

description: <b><i>Objective:</i></b> To analyze the response time and transport time taken by the emergency medical services (EMS), considering their urban or rural location, to attend traffic accident casualties that occurred in the different geographical areas of Extremadura (Spain) from 2012 to 2015. <b><i>Methods:</i></b> This was a cross-sectional study of the data recorded by the Emergency Response Coordination Center 112 (ERCC-112) from traffic accidents attended by EMS. Response time was defined as the time elapsed from the request-for-care receipt until arrival of the EMS at the accident scene, and transport time as that from leaving the scene until arrival to the referral hospital. Rural EMS were those based in locations where there is no hospital, and urban EMS those located in towns or cities with a hospital. <b><i>Results:</i></b> During the 4-year period studied, 5,572 traffic accidents requested assistance through the ERCC-112. From the 2,875 accidents (51.9%) in which EMS were mobilized, 55.4% occurred in urban roads and the remaining in interurban ones. A total of 113 people (mean age 48.4 ± 19.0 years, range 15–84 years) died at the accident scene or before arrival to the hospital, 88.5% of them in interurban accidents. The average response time of urban and rural EMS was 10.7 ± 7.3 and 18.0 ± 12.6 min (<i>p</i> &lt; 0.001), respectively, and the average transport time was 13.2 ± 11.7 and 45.2 ± 25.0 min (<i>p</i> = 0.009). Response time was longer than the 30-min optimum only in the most peripheral areas of Extremadura, while transport time exceeded the optimum of 90 min in the eastern regions of two health areas (Cáceres and Don Benito-Villanueva). 19.1% of the victims attended by rural EMS were classified as having a serious prognosis or as having died, as compared with 11.2% (<i>p</i> = 0.048) of those attended by urban EMS. <b><i>Conclusions:</i></b> The geographical location of EMS in Extremadura (Spain) guarantees adequate response times in traffic accidents, both in rural and urban areas. However, recommended transport times were occasionally exceeded in the most peripheral areas, due to hospital location.
DOI: 10.6084/m9.figshare.17085497
title: Example_data.csv

description: Example dataset<br>
DOI: 10.15151/esrf-es-632815105
title: protein-DNA complex

description: structure of protein-DNA complex
DOI: 10.6084/m9.figshare.14691579.v1
title: A global dataset for the projected impacts of climate change on four major crops

description: Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate change impact assessments. However, the wealth of data produced by these studies has not been made publicly available. Here, we develop a global dataset by consolidating previously published meta-analyses and data collected through a new literature search covering recent crop simulations. The new global dataset builds on 8252 simulations from 194 studies published between 1984 and 2020. It contains projected yields of four major crops (maize, rice, soybean, and wheat) in 91 countries under major emission scenarios for the 21<sup>st</sup> century, with and without adaptation measures, along with geographical coordinates, current temperatures, local and global warming levels. This dataset provides a basis for a comprehensive understanding of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven machine learning applications.
DOI: 10.34740/kaggle/dsv/2854675
title: AutoXGB
DOI: 10.5281/zenodo.5707194
title: Pre-processed data of atlas in EUCP-WP2

description: Outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system (EUCP) Horizon2020 project. The data can be previewed through our interactive atlas. For more information, see the atlas about page, or the corresponding storyboard. <strong>Preprocessed data of Atlas in EUCP-WP2</strong> We provide some notebooks that check the original/raw data, fix/add the metadata using CF-conventions https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html and save data in a NetCDF format. See https://github.com/eucp-project/atlas/blob/main/python/README.md. The pre-processed data follows the following standards: <strong>coordinates</strong> climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01'] time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF" latitude (lat) (float64) [30, ..., 75] longitude (lon) (float64) [-10, ..., 40] percentile (percentile) (int64) [10, 25, 50, 75, 90] <strong>variables</strong> tas (time, latitude, longitude, percentile) (float64) pr (time, latitude, longitude, percentile) (float64) <strong>attributes</strong> The attributes of variables and coordinates are defined as: "tas": {<br> "description": "Change in Air Temperature",<br> "standard_name": "Change in Air Temperature",<br> "long_name": "Change in Near-Surface Air Temperature",<br> "units": "K",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> }, "pr": {<br> "description": "Relative precipitation",<br> "standard_name": "Relative precipitation",<br> "long_name": "Relative precipitation",<br> "units": "%",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> }, "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"}, "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"}, "time": {<br> "climatology": "climatology_bounds",<br> "long_name": "time",<br> "axis": "T",<br> "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"],<br> "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.",<br> }, "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"}, The attributes of the data is defined as: "description": "Contains modified <code>institute</code> <code>method</code> data used for Atlas in EUCP project.", "history": "original <code>institute</code> <code>method</code> data files ...", <strong>output file names</strong> output_file_name = <code>prefix_activity_institution-id_source_method_sub-method_cmor-var</code> example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc <strong>Reference</strong>: https://eucp-project.github.io/atlas/about
DOI: 10.48668/w81rz5/vzutrj
title: Supple Figure 3.tif

description: a. Scatter plot with line of best fit (solid line) and its 95% CI (dotted lines) showing moderate correlation between maternal and umbilical cord serum 3-epi-25(OH)D3 levels; R=0.47, p&lt;0.001; b. Scatter plot with line of best fit (solid line) and its 95% CI (dotted lines) showing significant correlation between maternal and umbilical cord serum 25(OH)D3 levels; R=0.31, p&lt;0.001.
DOI: 10.48668/w81rz5/bowrja
title: Suppl Table 3.docx

description: The association of umbilical cord serum 3-epi-25(OH)D3 with maternal characteristics.
DOI: 10.48668/w81rz5/wxcbse
title: Suppl Table 2.docx

description: The association of maternal serum 3-epi-25(OH)D3 with maternal age, glycaemic status, 25(OH)D3 level and the ambient solar radiation
DOI: 10.48668/w81rz5/ygqn0w
title: Supple Figure 2.tif

description: Maternal vitamin D deficiency rate by month.
DOI: 10.48668/w81rz5/szfnup
title: Suppl Table 1.docx

description: The monthly global solar radiation recorded at the Hong Kong Observatory during the study period.
DOI: 10.48668/w81rz5/khriuw
title: Supple Figure 1.tif

description: Frequency distribution of maternal serum (a) total 25(OH)D, (b) 25(OH)D2, (c) 25(OH)D3, (d) 3-epi-25(OH)D3, and umbilical cord serum (e) total 25(OH)D, (f) 25(OH)D2, (g) 25(OH)D3, (h) 3-epi-25(OH)D3. Normal distribution curves were added to all figures for reference except for 25(OH)D2.
DOI: 10.48668/w81rz5
title: Maternal and neonatal 3-epi-25-hydroxyvitamin D concentration and factors influencing their concentrations

description: Supplementary files of the manuscript
DOI: 10.25442/hku.16936966.v1
title: Supporting data for “Protein tyrosine kinase 7 (PTK7) promotes metastasis in hepatocellular carcinoma under SOX9 regulation and TGFβ signalling”

description: Expression data collected, and in vitro assays and animal models performed to study the role PTK7 plays in driving HCC metastasis
DOI: 10.25442/hku.16936966
title: Supporting data for “Protein tyrosine kinase 7 (PTK7) promotes metastasis in hepatocellular carcinoma under SOX9 regulation and TGFβ signalling”

description: Expression data collected, and in vitro assays and animal models performed to study the role PTK7 plays in driving HCC metastasis
DOI: 10.5281/zenodo.5596799
title: AgRobTomato Dataset: Greenhouse tomatoes with different ripeness stages

description: <strong>Dataset of greenhouse tomatoes for object detection in Pascal VOC.</strong> This dataset was collected on two different days (August 6 and 8, 2020) at a greenhouse in Barroselas, Viana do Castelo, Portugal. Mobile robot AgRob v16, controlled by a human operator, was guided through the greenhouse inter-rows and captured RGB images of the tomato plants using a ZED camera, recording them as a video in a single ROSBag file. The video was converted into images by sampling a frame every 3 seconds to reduce the correlation between images but ensuring an overlapping ratio of about 60%. The images collected on the two days were merged, resulting in a dataset of 449 images with a resolution of 1280x720 px each. The images captured on August 8, 2020 were already publicly available at INESC TEC Research Data Repository (see: https://rdm.inesctec.pt/dataset/ii-2021-001). Manually labelled using the CVAT annotation tool, considering 4 ripeness classes: Unriped; Breaking Stage; Reddish; Riped; <strong>Framed within the activities of the ROBOCARE project, P2020 developed by INESC TEC (https://www.inesctec.pt/pt/projetos/robocare)</strong>
DOI: 10.5281/zenodo.5596798
title: AgRobTomato Dataset: Greenhouse tomatoes with different ripeness stages

description: <strong>Dataset of greenhouse tomatoes for object detection in Pascal VOC.</strong> This dataset was collected on two different days (August 6 and 8, 2020) at a greenhouse in Barroselas, Viana do Castelo, Portugal. Mobile robot AgRob v16, controlled by a human operator, was guided through the greenhouse inter-rows and captured RGB images of the tomato plants using a ZED camera, recording them as a video in a single ROSBag file. The video was converted into images by sampling a frame every 3 seconds to reduce the correlation between images but ensuring an overlapping ratio of about 60%. The images collected on the two days were merged, resulting in a dataset of 449 images with a resolution of 1280x720 px each. The images captured on August 8, 2020 were already publicly available at INESC TEC Research Data Repository (see: https://rdm.inesctec.pt/dataset/ii-2021-001). Manually labelled using the CVAT annotation tool, considering 4 ripeness classes: Unriped; Breaking Stage; Reddish; Riped; <strong>Framed within the activities of the ROBOCARE project, P2020 developed by INESC TEC (https://www.inesctec.pt/pt/projetos/robocare)</strong>
DOI: 10.6084/m9.figshare.14099417.v2
title: Machine learning bridges microslips and slip avalanches of sheared granular gouge

description: Understanding the origin of stress avalanche of fault gouges may offer deeper insights into many geophysical processes such as earthquakes. Microslips of sheared granular gouges were found to be precursors of large slip events, but the documented relation between local and global avalanches remains largely qualitative. We examine the stick-slip behavior of a slowly sheared granular system using discete element method simulations. The microslips, i.e., local avalanche events, are found to demonstrate significantly different statistical and spatial characteristics between the stick and slip states. We further investigate the correlation between the global stress fluctuations and the features extracted from microslips based on the machine learning (ML) approach. The data-driven model that incorporates the information of the spatial distribution of microslips can robustly predict the magnitude of stress fluctuation. A further feature importance analysis confirms that the spatial patterns of microslips manifest key information governing the global stress fluctuations.
DOI: 10.6084/m9.figshare.14099417.v1
title: Machine learning bridges microslips and slip avalanches of sheared granular gouge

description: Understanding the origin of stress avalanche of fault gouges may offer deeper insights into many geophysical processes such as earthquakes. Microslips of sheared granular gouges were found to be precursors of large slip events, but the documented relation between local and global avalanches remains largely qualitative. We examine the stick-slip behavior of a slowly sheared granular system using discete element method simulations. The microslips, i.e., local avalanche events, are found to demonstrate significantly different statistical and spatial characteristics between the stick and slip states. We further investigate the correlation between the global stress fluctuations and the features extracted from microslips based on the machine learning (ML) approach. The data-driven model that incorporates the information of the spatial distribution of microslips can robustly predict the magnitude of stress fluctuation. A further feature importance analysis confirms that the spatial patterns of microslips manifest key information governing the global stress fluctuations.
DOI: 10.17633/rd.brunel.16885426
title: Skill-Based Differences in Decision Time When Responding to Verbal Information from Intrateam Communication in Lacrosse Dataset

description: <b>Supplementary Table (doc. and .csv)</b> <i>The sequence of calls from different simulated teammates in each trial. Calls are “Got ball” (GB), “On your left” (OL), “On your right” (OR), “Cutter” (C), and “Red” (R). The meaning of each call is in Table 1. The simulated teammate that made each call is in brackets, which refers to the position of the speaker in the experimental set up (Figure 1B).</i><b></b><i><br></i><b>Raw Data</b><i>The raw data for each participant, including the decision time, movement time, response accuracy, and confidence rating on each trial. Each tab is a different participant. </i><br>
DOI: 10.17633/rd.brunel.16885426.v1
title: Skill-Based Differences in Decision Time When Responding to Verbal Information from Intrateam Communication in Lacrosse Dataset

description: <b>Supplementary Table (doc. and .csv)</b> <i>The sequence of calls from different simulated teammates in each trial. Calls are “Got ball” (GB), “On your left” (OL), “On your right” (OR), “Cutter” (C), and “Red” (R). The meaning of each call is in Table 1. The simulated teammate that made each call is in brackets, which refers to the position of the speaker in the experimental set up (Figure 1B).</i><b></b><i><br></i><b>Raw Data</b><i>The raw data for each participant, including the decision time, movement time, response accuracy, and confidence rating on each trial. Each tab is a different participant. </i><br>
DOI: 10.5523/bris.879w4p1r8iy32ef9vcwftq9ts
title: Code for metabolic flux analysis

description: Code associated to "Understanding metabolic flux behaviour in whole-cell model output"
DOI: 10.25345/c5xs16
title: MassIVE MSV000088455 - GNPS_QINGLIN Fungi_20211126_Molecular networking parameters
title: The user workspace in GNPS/MassIVE provides a personalized location where researchers can curate mass datasets, submit and monitor GNPS workflows, subscribe to datasets that have been made publicly available by others, or clone and reanalyze either their own or other public datasets.
DOI: 10.6084/m9.figshare.17085726.v1
title: MATLAB code used for simulations from Selection for biparental inheritance of mitochondria under hybridization and mitonuclear fitness interactions

description: A complete working code for the model discussed in the text
DOI: 10.6084/m9.figshare.17085732.v1
title: Data from simulation results from Selection for biparental inheritance of mitochondria under hybridization and mitonuclear fitness interactions

description: Data retrieved from computer simulations that was used for analysis
DOI: 10.6084/m9.figshare.17085732
title: Data from simulation results from Selection for biparental inheritance of mitochondria under hybridization and mitonuclear fitness interactions

description: Data retrieved from computer simulations that was used for analysis
DOI: 10.6084/m9.figshare.17085726
title: MATLAB code used for simulations from Selection for biparental inheritance of mitochondria under hybridization and mitonuclear fitness interactions

description: A complete working code for the model discussed in the text
DOI: 10.17633/rd.brunel.16962895
title: Why “one size fits all” is not enough when designing COVID-19 immunity certificates for domestic use: a UK wide cross-sectional online survey

description: This links to the OSF entry that contains the documents related to the cross sectional survey run as part of the AHRC funded IMMUNE (Immunity Passports Service Design).Ethical approval was granted by Brunel University.