cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4561517
title: Shake Table Test Data

description: Steel Model Shake Table Test Data
DOI: 10.5281/zenodo.4561516
title: Shake Table Test Data

description: Steel Model Shake Table Test Data
DOI: 10.15468/qdmqqp
title: Cryptotermes camelus (Isoptera: Kalotermitidae), a new drywood termite species from the Bolivian Chaco

description: This dataset contains the digitized treatments in Plazi based on the original journal article Scheffrahn, Rudolf H. (2021): Cryptotermes camelus (Isoptera: Kalotermitidae), a new drywood termite species from the Bolivian Chaco. Zootaxa 4938 (1): 145-147, DOI: https://doi.org/10.11646/zootaxa.4938.1.9
DOI: 10.17632/8nkn2gjr4m.2
title: DAT-2050

description: DAT-2050
DOI: 10.17632/rxj8t4kfx4.2
title: DAT-2050

description: DAT-2050
DOI: 10.6084/m9.figshare.14113022.v1
title: 2.4-实验所用数据-前中后期.xlsx

description: the dataset include insitu measured data in Beijing, Shunyi district in 2016.
DOI: 10.6084/m9.figshare.14113022
title: 2.4-实验所用数据-前中后期.xlsx

description: the dataset include insitu measured data in Beijing, Shunyi district in 2016.
DOI: 10.5517/ccdc.csd.cc25d772
title: CCDC 2007753: Experimental Crystal Structure Determination

description: Related Article: Jialin Qi, Fang Wei, Shuai Huang, Chen-Ho Tung, Zhenghu Xu|2021|Angew.Chem.,Int.Ed.|60|4561|doi:10.1002/anie.202013450
DOI: 10.5517/ccdc.csd.cc25jkx6
title: CCDC 2011928: Experimental Crystal Structure Determination

description: Related Article: Fan Teng|2020|CSD Communication|||
description: Related Article: Fan Teng, Ting Yu, Yan Peng, Weiming Hu, Huaanzi Hu, Yimiao He, Shuang Luo, Qiang Zhu|2021|J.Am.Chem.Soc.|143|2722|doi:10.1021/jacs.1c00640
DOI: 10.5517/ccdc.csd.cc25jlfr
title: CCDC 2011944: Experimental Crystal Structure Determination

description: Related Article: Fan Teng|2020|CSD Communication|||
description: Related Article: Fan Teng, Ting Yu, Yan Peng, Weiming Hu, Huaanzi Hu, Yimiao He, Shuang Luo, Qiang Zhu|2021|J.Am.Chem.Soc.|143|2722|doi:10.1021/jacs.1c00640
DOI: 10.5517/ccdc.csd.cc25jlkw
title: CCDC 2011948: Experimental Crystal Structure Determination

description: Related Article: Fan Teng|2020|CSD Communication|||
description: Related Article: Fan Teng, Ting Yu, Yan Peng, Weiming Hu, Huaanzi Hu, Yimiao He, Shuang Luo, Qiang Zhu|2021|J.Am.Chem.Soc.|143|2722|doi:10.1021/jacs.1c00640
DOI: 10.5517/ccdc.csd.cc269nbj
title: CCDC 2035067: Experimental Crystal Structure Determination

description: Related Article: Jialin Qi, Fang Wei, Shuai Huang, Chen-Ho Tung, Zhenghu Xu|2021|Angew.Chem.,Int.Ed.|60|4561|doi:10.1002/anie.202013450
DOI: 10.5517/ccdc.csd.cc26mn5p
title: CCDC 2044672: Experimental Crystal Structure Determination

description: Related Article: Jinglin Liu, Dan Wang, Xin Xu, Hailou Li, Junwei Zhao, Lijuan Chen|2021|Inorg.Chem.|60|2533|doi:10.1021/acs.inorgchem.0c03443
DOI: 10.5517/ccdc.csd.cc26mn6q
title: CCDC 2044673: Experimental Crystal Structure Determination

description: Related Article: Jinglin Liu, Dan Wang, Xin Xu, Hailou Li, Junwei Zhao, Lijuan Chen|2021|Inorg.Chem.|60|2533|doi:10.1021/acs.inorgchem.0c03443
DOI: 10.5517/ccdc.csd.cc26mn7r
title: CCDC 2044674: Experimental Crystal Structure Determination

description: Related Article: Jinglin Liu, Dan Wang, Xin Xu, Hailou Li, Junwei Zhao, Lijuan Chen|2021|Inorg.Chem.|60|2533|doi:10.1021/acs.inorgchem.0c03443
DOI: 10.5517/ccdc.csd.cc26mn8s
title: CCDC 2044675: Experimental Crystal Structure Determination

description: Related Article: Jinglin Liu, Dan Wang, Xin Xu, Hailou Li, Junwei Zhao, Lijuan Chen|2021|Inorg.Chem.|60|2533|doi:10.1021/acs.inorgchem.0c03443
DOI: 10.5517/ccdc.csd.cc26mn9t
title: CCDC 2044676: Experimental Crystal Structure Determination

description: Related Article: Jinglin Liu, Dan Wang, Xin Xu, Hailou Li, Junwei Zhao, Lijuan Chen|2021|Inorg.Chem.|60|2533|doi:10.1021/acs.inorgchem.0c03443
DOI: 10.5517/ccdc.csd.cc26s7py
title: CCDC 2049090: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26s7qz
title: CCDC 2049091: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26s7r0
title: CCDC 2049092: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26s7s1
title: CCDC 2049093: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26s7t2
title: CCDC 2049094: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26s7v3
title: CCDC 2049095: Experimental Crystal Structure Determination

description: Related Article: Li-Cheng Song, Li Feng, Yu Lu, Xi-Yue Yang|2021|Organometallics|40|508|doi:10.1021/acs.organomet.0c00778
DOI: 10.5517/ccdc.csd.cc26krq8
title: CCDC 2042860: Experimental Crystal Structure Determination

description: Related Article: Baoxing Zeng, Yan Zhang, Yanhong Chen, Guoping Liu, Yanzhou Li, Lijuan Chen, Junwei Zhao|2021|Inorg.Chem.|60|2663|doi:10.1021/acs.inorgchem.0c03556
DOI: 10.5281/zenodo.4561557
title: Protologger data

description: This is the base bin folder for Protologger
DOI: 10.6084/m9.figshare.14113076
title: TABLE S1. Sample parameter settings for sensitivity test and simulation.

description: Sample parameter settings for sensitivity test and simulation.
DOI: 10.5285/5e5da31f2ae047b997ddbbdd372d31cd
title: ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Obs4MIPS monthly-averaged sea surface temperature data, v2.1

description: This dataset contains monthly 1 degree averages of sea surface temperature data in Obs4MIPS format, from the European Space Agency (ESA)'s Climate Change Initiatve (CCI) Sea Surface Temperature (SST) v2.1 analysis. The data covers the period from 1981-2017, with the data from 1981 to 2016 coming from the Sea Surface Temperature (SST) project of the ESA CCI project. The data for 2017 were generated using the same approach but under funding from the Copernicus Climate Change Service (C3S). This particular product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ When citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x
DOI: 10.6084/m9.figshare.14113037
title: Supplementary Material for: Effects of Diet after Early Breast Cancer Treatment: A Systematic Review and Meta-Analysis of Clinical Trials

description: <b><i>Purpose:</i></b> Randomized clinical trials (RCT) are inconclusive regarding the role of dietary interventions in anthropometric measurements and survival in breast cancer patients. Our aim was to conduct a systematic review and meta-analysis to assess the effects of diet on these outcomes in women treated for early-stage breast cancer. <b><i>Methods:</i></b> Embase, MEDLINE, the Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials were searched for RCT comparing dietary interventions (individualized dietary counseling, prescription of a specific diet, or others) with usual care in women that were treated for early breast cancer. Primary outcomes were overall survival (OS) and disease-free survival (DFS); secondary outcome was a change in body mass index (BMI). <b><i>Results:</i></b> We found 12 RCT eligible for analysis, 7 of which were included in the quantitative analysis. Two studies reported OS and DFS and 6 reported BMI data. The hazard ratio (HR) for OS and DFS was 0.91 (95% confidence interval [CI] 0.77–1.07, <i>p</i> = 0.25) and 0.92 (95% CI 0.79–1.08, <i>p</i> = 0.31) for the intervention and control groups, respectively. Intervention was associated with BMI reduction in subjects who received a specific diet instead of counseling or other types of intervention (–0.67; 95% CI –1.14 to –0.21). <b><i>Conclusions:</i></b> Despite increasing survival among breast cancer patients due to better oncological treatments, there is still a lack of prospective data regarding the effects of dietary interventions in this population. We found positive association between prescription of specific diets in terms of anthropometric measures; there were no differences in OS or DFS.
DOI: 10.17033/data.00000143
title: LOOPER - LOOP hEat pump ciRcuit

description: The project will assess the feasibility of integrating a specific Loop Heat Pipe [LHP] into a heat pump [HP] for a battery electric vehicle [BEV] and determine the potential reductions in energy used to provide cabin heating and cooling. This addresses 'Energy Storage and Energy Management'. The feasibility study will seek to determine if the integration of a 'LOOP hEat pump ciRcuit' [LOOPER] can: a) reduce HP compressor load/demand, thus reduce energy consumption; b) eliminate refrigerant high pressure piping between HP compressor, cabin heating condenser and HP ambient cooling condenser; c) offer novel condenser mounting for cabin; d) offer novel low drag LHP condenser design options for ambient cooling of HP system; e) enable better system packaging via sophisticated integration of parts; f) reduce HP system weight; g) enable novel forced cooling techniques; h) reduce the volume of refrigerant required; i) maintain reasonable costs per unit. The feasibility study will be conducted using a Co-Simulation technique using Computer Aided Engineering (CAE) software. Co-simulation will be conducted using 1D system and 3D CFD vehicle level simulation models. Two 1D system models will be built: a model for the LHP and a model for the HP. Two 3D BEV level CFD models will also be built, those models will enable the simulation of the interaction of LHP ambient condenser for a ram air EV drive cycle, and for a forced air BEV stationary condition. Tata Motors European Technical Centre [TMETC] will lead the feasibility project and will execute 1D HP system modelling and 3D CFD modelling of an electric vehicle, along with providing the vision, system operating data and overall project management. University of Brighton will build up a 1D model of a LHP system, using system data provided by TMETC. This model will be used to understand/determine the feasibility of integrating LHP evaporators with a HP and using LHP condensers to transport heat to the cabin and reject residual HP A/C waste heat to the environment. Moreover, the proposal will analyse the implementation of a low-cost Loop Heat Pipe, since at the moment this technology may have the bottle neck of being quite expensive. There are two possible ways to overcome such an issue: 1) to design a LHP with a two-layer wicking in the evaporator, which may be obtained with a low cost production process or 2) to understand if it is possible to use a new breakthrough technology called Pulsating Loop Heat Pipe, which is based on a simple capillary tube which has the form of a serpentine with multiple evaporator zones. The attention to the implementation of a low-cost passive two-phase thermal system will add another strong business opportunity element to the proposal. The feasibility study will seek to understand the ability of a LHP lifting heat from the hot circuit side of a HP and transporting that to the cabin during heating mode and also transporting waste heat during cabin cooling mode to the BEV exterior environment.
description: Lumped Parameter Simulation thorough Open Source code Octave
DOI: 10.6084/m9.figshare.14113118
title: Dataset for urban logistics stakeholders interview

description: The additional file to the paper "Stakeholders’ Analysis of Environmental Sustainability in Urban Logistics: A Case Study of Tricity, Poland" published in <i>Energies </i>journal
DOI: 10.15468/gqvvue
title: Comparative Genomics and Pan-Genomics of the Myxococcaceae, including a Description of Five Novel Species: Myxococcus eversor sp. nov., Myxococcus llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogochensis sp. nov., Myxococcus vastator sp. nov., Pyxidicoccus caerfyrddinensis sp. nov., and Pyxidicoccus trucidator sp. nov.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chambers, James, Sparks, Natalie, Sydney, Natashia, Livingstone, Paul G, Cookson, Alan R, Whitworth, David E (2020): Comparative Genomics and Pan-Genomics of the Myxococcaceae, including a Description of Five Novel Species: Myxococcus eversor sp. nov., Myxococcus llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogochensis sp. nov., Myxococcus vastator sp. nov., Pyxidicoccus caerfyrddinensis sp. nov., and Pyxidicoccus trucidator sp. nov. Genome Biology and Evolution 12 (12): 2289-2302, DOI: 10.1093/gbe/evaa212, URL: http://dx.doi.org/10.1093/gbe/evaa212
DOI: 10.6084/m9.figshare.14113136.v1
title: A cross-cultural comparison of impression management strategies

description: The dataset contains the impression management strategies participants reported and the ratings provided by five coders to calculate inter-rater reliability.
DOI: 10.6084/m9.figshare.14113136
title: A cross-cultural comparison of impression management strategies

description: The dataset contains the impression management strategies participants reported and the ratings provided by five coders to calculate inter-rater reliability.
DOI: 10.6084/m9.figshare.14113133
title: Supplementary Material for: Surprising Hyperkalemia of 10.2 mmol/L in a Patient with Hyperglycemia: A Case Report

description: Hyperkalemia is a life-threatening condition potentially leading to cardiac arrest. Here, we report a case of surprising severe hyperkalemia of 10.2 mmol/L in a diabetic patient with previously normal kidney function presenting without discernible clinical symptoms to our emergency department. The patient was admitted because of hyperglycemia of 32.8 mmol/L, which was detected during daily testing in her nursing home. The hyperkalemia was caused by prerenal failure due to hyperglycemic polyuria which led to volume depletion, and worsened by a combination of potassium-sparing drugs and potassium supplementation. The patient was treated conservatively. Eighteen hours later, the serum potassium concentration was 4.6 mmol/L. The patient could be released 6 days later. To our knowledge, this is the highest described hyperkalemia treated conservatively and survived without cardiopulmonary resuscitation.
DOI: 10.17033/data.00000144
title: Wastewater Reuse and Public Health (South East Water)

description: Water deficit, exacerbated by global population increases and climate change, necessitates the investigation of alternative non-traditional water sources to augment existing supplies. Indirect potable reuse (IPR) represents a promising alternative water source in water-stressed regions. Of high concern is the presence of pathogenic microorganisms in wastewater, such as enteric viruses, protozoa and bacteria. Therefore, a greater understanding of the potential impact to human health is required. The aim of this research was to use a quantitative microbial risk assessment (QMRA) approach to calculate the probability of potential pathogen infection risk to the public in surface waters used for a range of recreational activities under scenarios: 1) existing de facto wastewater reuse conditions; 2) after augmentation with conventionally treated wastewater; and 3) after augmentation with reclaimed wastewater from proposed IPR schemes.
description: Forty-four 31 l samples were collected from river sites and a coastal wastewater treatment works from July 2016-May 2017. Concentrations of faecal indicator organisms (enterococci, faecal coliforms, somatic coliphages and Bacteroides phages) determined using culture-based approaches and selected pathogens (adenovirus, Salmonella and Cryptosporidium) determined using molecular approaches (qPCR) were used to inform QMRA.
DOI: 10.6084/m9.figshare.14113154
title: Supplementary Material for: Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury

description: <b><i>Background/Aims:</i></b> Acute kidney injury (AKI) in critically ill patients is common, and continuous renal replacement therapy (CRRT) is a preferred mode of renal replacement therapy (RRT) in hemodynamically unstable patients. Prediction of clinical outcomes in patients on CRRT is challenging. We utilized several approaches to predict RRT-free survival (RRTFS) in critically ill patients with AKI requiring CRRT. <b><i>Methods:</i></b> We used the Medical Information Mart for Intensive Care (MIMIC-III) database to identify patients ≥18 years old with AKI on CRRT, after excluding patients who had ESRD on chronic dialysis, and kidney transplantation. We defined RRTFS as patients who were discharged alive and did not require RRT ≥7 days prior to hospital discharge. We utilized all available biomedical data up to CRRT initiation. We evaluated 7 approaches, including logistic regression (LR), random forest (RF), support vector machine (SVM), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), multilayer perceptron (MLP), and MLP with long short-term memory (MLP + LSTM). We evaluated model performance by using area under the receiver operating characteristic (AUROC) curves. <b><i>Results:</i></b> Out of 684 patients with AKI on CRRT, 205 (30%) patients had RRTFS. The median age of patients was 63 years and their median Simplified Acute Physiology Score (SAPS) II was 67 (interquartile range 52–84). The MLP + LSTM showed the highest AUROC (95% CI) of 0.70 (0.67–0.73), followed by MLP 0.59 (0.54–0.64), LR 0.57 (0.52–0.62), SVM 0.51 (0.46–0.56), AdaBoost 0.51 (0.46–0.55), RF 0.44 (0.39–0.48), and XGBoost 0.43 (CI 0.38–0.47). <b><i>Conclusions:</i></b> A MLP + LSTM model outperformed other approaches for predicting RRTFS. Performance could be further improved by incorporating other data types.
DOI: 10.6084/m9.figshare.14113154.v1
title: Supplementary Material for: Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury

description: <b><i>Background/Aims:</i></b> Acute kidney injury (AKI) in critically ill patients is common, and continuous renal replacement therapy (CRRT) is a preferred mode of renal replacement therapy (RRT) in hemodynamically unstable patients. Prediction of clinical outcomes in patients on CRRT is challenging. We utilized several approaches to predict RRT-free survival (RRTFS) in critically ill patients with AKI requiring CRRT. <b><i>Methods:</i></b> We used the Medical Information Mart for Intensive Care (MIMIC-III) database to identify patients ≥18 years old with AKI on CRRT, after excluding patients who had ESRD on chronic dialysis, and kidney transplantation. We defined RRTFS as patients who were discharged alive and did not require RRT ≥7 days prior to hospital discharge. We utilized all available biomedical data up to CRRT initiation. We evaluated 7 approaches, including logistic regression (LR), random forest (RF), support vector machine (SVM), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), multilayer perceptron (MLP), and MLP with long short-term memory (MLP + LSTM). We evaluated model performance by using area under the receiver operating characteristic (AUROC) curves. <b><i>Results:</i></b> Out of 684 patients with AKI on CRRT, 205 (30%) patients had RRTFS. The median age of patients was 63 years and their median Simplified Acute Physiology Score (SAPS) II was 67 (interquartile range 52–84). The MLP + LSTM showed the highest AUROC (95% CI) of 0.70 (0.67–0.73), followed by MLP 0.59 (0.54–0.64), LR 0.57 (0.52–0.62), SVM 0.51 (0.46–0.56), AdaBoost 0.51 (0.46–0.55), RF 0.44 (0.39–0.48), and XGBoost 0.43 (CI 0.38–0.47). <b><i>Conclusions:</i></b> A MLP + LSTM model outperformed other approaches for predicting RRTFS. Performance could be further improved by incorporating other data types.
DOI: 10.21421/d2/bm3hi1/trxwl1
title: RIL population for 2016 and 2017 on agronmoic and NIRS traits.docx

description: :unav
DOI: 10.21421/d2/bm3hi1/47uasz
title: Data on RIL population for 2016 and 2017 on agronmoic and NIRS traits.xlsx

description: :unav
DOI: 10.21421/d2/bm3hi1
title: Data on Genetic dissection and QTL mapping of fodder quality traits in Sorghum under different water regimes

description: The data belong to sorghum recombinant inbred population (RIL) derived from parents segregating for fodder quality traits (identified from the previous study, Vinutha et. al., 2020, Current Pl Biology; DOI: https://doi.org/10.1016/j.cpb.2020.100191) viz., in-vitro organic matter digestibility (IVOMD) and dry stalk yield (Biomass). The objective is to evaluate the population under drought and control conditions for two years to identify quantitative trait loci analysis associated with fodder quality. Phenotypic trials were conducted for 2 years (from November to March, in 2016 and 2017, in BM8A, BM8C) at ICRISAT. The experiments were conducted in post-rainy seasons, this would be appropriate to assess the terminal drought stress, using Alpha Lattice design, with three replications under drought (irrigation withheld) and three under controlled (well-irrigated). The following traits were recorded in the field, days to fifty percent flowering, plant height, fresh biomass, dry biomass, and grain weight. The fodder quality assessment was performed in collaboration with ILRI-INDIA with the details mentioned below. The biomass was dried, chopped, and ground (to allow the powder to pass through a 1mm sieve). Later the biomass was scanned in Near-Infrared Spectroscopy (NIRS) calibrated against conventional wet laboratory analyses and the following parameters were recorded, nitrogen on dry matter basis (NDM), acid and neutral detergent fiber (ADF and NDF), acid detergent lignin (ADL), metabolizable energy (ME) and in vitro organic matter digestibility (IVOMD). The NIRS instrument used was a FOSS Forage Analyzer 5000 (FOSS XDS RCA, Win ISI IV, Denmark) with software package Win ISI II. Experiment location on Google Map
DOI: 10.17033/data.00000149
title: Research for TRAN Committee -Overtourism: impact and possible policy responses

description: This study addresses the complex phenomenon of overtourism in the EU. By focusing on a set of case studies, the study reports on overtourism indicators, discusses management approaches implemented within different destinations and assesses policy responses. It concludes that a common set of indicators cannot be defined because of the complex causes and effects of overtourism. Avoiding overtourism requires custom-made policies in cooperation between destinations' stakeholders and policymakers.
description: qualotative/quantitative research