cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f9h5f
title: CCDC 2243444: Experimental Crystal Structure Determination

description: Related Article: Kazuma Kikuchi, Hiroaki Imoto, Kensuke Naka|2023|Dalton Trans.|52|11168|doi:10.1039/D3DT00784G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9h6g
title: CCDC 2243445: Experimental Crystal Structure Determination

description: Related Article: Kazuma Kikuchi, Hiroaki Imoto, Kensuke Naka|2023|Dalton Trans.|52|11168|doi:10.1039/D3DT00784G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gkxyx
title: CCDC 2281350: Experimental Crystal Structure Determination

description: Related Article: Yoshiaki Shuku, Rie Suizu, Masahisa Tsuchiizu, Kunio Awaga|2023|Chem.Commun.|59|10105|doi:10.1039/D3CC02986G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gpt44
title: CCDC 2285076: Experimental Crystal Structure Determination

description: Related Article: A. Ouchi, T. Takase, S. Inomata|2023|IUCrData|8|x230657|doi:10.1107/S2414314623006570
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22661239
title: Prehospital Blood Administration in Pediatric Patients: A Case Report

description: Prehospital blood administration programs have demonstrated success both on the battlefield and throughout civilian emergency medical services programs. While previous research often discusses the use of prehospital blood administration for adult trauma and medical patients, few studies have reported the benefits of prehospital blood administration for pediatric patients. This case report describes treatment received by a 7-year-old female gunshot victim who was successfully treated by a prehospital blood administration program in the southern United States.
DOI: 10.6084/m9.figshare.22661239.v1
title: Prehospital Blood Administration in Pediatric Patients: A Case Report

description: Prehospital blood administration programs have demonstrated success both on the battlefield and throughout civilian emergency medical services programs. While previous research often discusses the use of prehospital blood administration for adult trauma and medical patients, few studies have reported the benefits of prehospital blood administration for pediatric patients. This case report describes treatment received by a 7-year-old female gunshot victim who was successfully treated by a prehospital blood administration program in the southern United States.
DOI: 10.6084/m9.figshare.22670157
title: Prehospital Guidelines for the Management of Traumatic Brain Injury – 3rd Edition

description: Prehospital Guidelines for the Management of Traumatic Brain Injury – 3rd Edition
DOI: 10.6084/m9.figshare.22670157.v1
title: Prehospital Guidelines for the Management of Traumatic Brain Injury – 3rd Edition

description: Prehospital Guidelines for the Management of Traumatic Brain Injury – 3rd Edition
DOI: 10.6084/m9.figshare.20164023
title: Factors Influencing Medication Errors in the Prehospital Paramedic Environment: A Mixed Method Systematic Review

description: There is limited research available on safe medication management practices in emergency medical services (EMS) practice, with most evidence-based medication safety guidelines based on research in nursing, operating theater and pharmacy settings. Prevention of errors requires recognition of contributing factors across the spectrum from the organizational level to procedural elements and patient characteristics. Evidence is inconsistent regarding the incidence of medication errors and multiple sources also state that errors are under-reported, making the true magnitude of the problem difficult to quantify. Definitions of error also vary, with the specific context of medication errors in prehospital practice yet to be established. The objective of this review is to identify the factors influencing the occurrence of medication errors by EMS personnel in the prehospital environment. The review included both qualitative and quantitative research involving interventions or phenomena related to medication safety or medication error by EMS personnel in the prehospital environment. A search of multiple databases was conducted to identify studies meeting these inclusion criteria. All studies selected were assessed for methodological quality; however, this was not used as a basis for exclusion. Each stage of study selection, appraisal and data extraction was conducted by two independent reviewers, with a third reviewer deciding any unresolved conflicts. The review follows a convergent integrated approach, conducting a single qualitative synthesis of qualitative and “qualitized” quantitative data. Fifty-six articles were included in the review, with case reports and qualitative studies being the most frequent study types. Qualitative analysis revealed seven major themes: organizational factors (with reporting as a sub-theme), equipment/medications, environmental factors, procedure-related factors, communication, patient-related factors (with pediatrics as a sub-theme) and cognitive factors. Both contributing factors and protective factors were identified. The body of evidence regarding medication errors is heterogenous and limited in both quantity and quality. Multiple factors influence medication error occurrence; knowledge of these is necessary to mitigate the risk of errors. Medication error incidence is difficult to quantify due to inconsistent measure, definitions and contexts of research conducted to date. Further research is required to quantify the prevalence of identified factors in specific practice settings.
DOI: 10.6084/m9.figshare.20164023.v1
title: Factors Influencing Medication Errors in the Prehospital Paramedic Environment: A Mixed Method Systematic Review

description: There is limited research available on safe medication management practices in emergency medical services (EMS) practice, with most evidence-based medication safety guidelines based on research in nursing, operating theater and pharmacy settings. Prevention of errors requires recognition of contributing factors across the spectrum from the organizational level to procedural elements and patient characteristics. Evidence is inconsistent regarding the incidence of medication errors and multiple sources also state that errors are under-reported, making the true magnitude of the problem difficult to quantify. Definitions of error also vary, with the specific context of medication errors in prehospital practice yet to be established. The objective of this review is to identify the factors influencing the occurrence of medication errors by EMS personnel in the prehospital environment. The review included both qualitative and quantitative research involving interventions or phenomena related to medication safety or medication error by EMS personnel in the prehospital environment. A search of multiple databases was conducted to identify studies meeting these inclusion criteria. All studies selected were assessed for methodological quality; however, this was not used as a basis for exclusion. Each stage of study selection, appraisal and data extraction was conducted by two independent reviewers, with a third reviewer deciding any unresolved conflicts. The review follows a convergent integrated approach, conducting a single qualitative synthesis of qualitative and “qualitized” quantitative data. Fifty-six articles were included in the review, with case reports and qualitative studies being the most frequent study types. Qualitative analysis revealed seven major themes: organizational factors (with reporting as a sub-theme), equipment/medications, environmental factors, procedure-related factors, communication, patient-related factors (with pediatrics as a sub-theme) and cognitive factors. Both contributing factors and protective factors were identified. The body of evidence regarding medication errors is heterogenous and limited in both quantity and quality. Multiple factors influence medication error occurrence; knowledge of these is necessary to mitigate the risk of errors. Medication error incidence is difficult to quantify due to inconsistent measure, definitions and contexts of research conducted to date. Further research is required to quantify the prevalence of identified factors in specific practice settings.
DOI: 10.6084/m9.figshare.22041575
title: Comparing the Effects of Low-Dose Ketamine, Fentanyl, and Morphine on Hemorrhagic Tolerance and Analgesia in Humans

description: Hemorrhage is a leading cause of preventable battlefield and civilian trauma deaths. Ketamine, fentanyl, and morphine are recommended analgesics for use in the prehospital (i.e., field) setting to reduce pain. However, it is unknown whether any of these analgesics reduce hemorrhagic tolerance in humans. We tested the hypothesis that fentanyl (75 µg) and morphine (5 mg), but not ketamine (20 mg), would reduce tolerance to simulated hemorrhage in conscious humans. Each of the three analgesics was evaluated independently among different cohorts of healthy adults in a randomized, crossover (within drug/placebo comparison), placebo-controlled fashion using doses derived from the Tactical Combat Casualty Care Guidelines for Medical Personnel. One minute after an intravenous infusion of the analgesic or placebo (saline), we employed a pre-syncopal limited progressive lower-body negative pressure (LBNP) protocol to determine hemorrhagic tolerance. Hemorrhagic tolerance was quantified as a cumulative stress index (CSI), which is the sum of products of the LBNP and the duration (e.g., [40 mmHg x 3 min] + [50 mmHg x 3 min] …). Compared with ketamine (<i>p</i> = 0.002 <i>post hoc</i> result) and fentanyl (<i>p</i> = 0.02 <i>post hoc</i> result), morphine reduced the CSI (ketamine (n = 30): 99 [73–139], fentanyl (n = 28): 95 [68–130], morphine (n = 30): 62 [35–85]; values expressed as a % of the respective placebo trial’s CSI; median [IQR]; Kruskal-Wallis test <i>p</i> = 0.002). Morphine-induced reductions in tolerance to central hypovolemia were not well explained by a prediction model including biological sex, body mass, and age (R<sup>2</sup>=0.05, <i>p</i> = 0.74). These experimental data demonstrate that morphine reduces tolerance to simulated hemorrhage while fentanyl and ketamine do not affect tolerance. Thus, these laboratory-based data, captured via simulated hemorrhage, suggest that morphine should not be used for a hemorrhaging individual in the prehospital setting.
DOI: 10.6084/m9.figshare.22041575.v1
title: Comparing the Effects of Low-Dose Ketamine, Fentanyl, and Morphine on Hemorrhagic Tolerance and Analgesia in Humans

description: Hemorrhage is a leading cause of preventable battlefield and civilian trauma deaths. Ketamine, fentanyl, and morphine are recommended analgesics for use in the prehospital (i.e., field) setting to reduce pain. However, it is unknown whether any of these analgesics reduce hemorrhagic tolerance in humans. We tested the hypothesis that fentanyl (75 µg) and morphine (5 mg), but not ketamine (20 mg), would reduce tolerance to simulated hemorrhage in conscious humans. Each of the three analgesics was evaluated independently among different cohorts of healthy adults in a randomized, crossover (within drug/placebo comparison), placebo-controlled fashion using doses derived from the Tactical Combat Casualty Care Guidelines for Medical Personnel. One minute after an intravenous infusion of the analgesic or placebo (saline), we employed a pre-syncopal limited progressive lower-body negative pressure (LBNP) protocol to determine hemorrhagic tolerance. Hemorrhagic tolerance was quantified as a cumulative stress index (CSI), which is the sum of products of the LBNP and the duration (e.g., [40 mmHg x 3 min] + [50 mmHg x 3 min] …). Compared with ketamine (<i>p</i> = 0.002 <i>post hoc</i> result) and fentanyl (<i>p</i> = 0.02 <i>post hoc</i> result), morphine reduced the CSI (ketamine (n = 30): 99 [73–139], fentanyl (n = 28): 95 [68–130], morphine (n = 30): 62 [35–85]; values expressed as a % of the respective placebo trial’s CSI; median [IQR]; Kruskal-Wallis test <i>p</i> = 0.002). Morphine-induced reductions in tolerance to central hypovolemia were not well explained by a prediction model including biological sex, body mass, and age (R<sup>2</sup>=0.05, <i>p</i> = 0.74). These experimental data demonstrate that morphine reduces tolerance to simulated hemorrhage while fentanyl and ketamine do not affect tolerance. Thus, these laboratory-based data, captured via simulated hemorrhage, suggest that morphine should not be used for a hemorrhaging individual in the prehospital setting.
DOI: 10.6084/m9.figshare.21224138
title: Predictors of Transfusion in Trauma and Their Utility in the Prehospital Environment: A Scoping Review

description: <b>Background:</b> Hemorrhage is a leading cause of preventable mortality from trauma, necessitating resuscitation through blood product transfusions. Early and accurate identification of patients requiring transfusions in the prehospital setting may reduce delays in time to transfusion upon arrival to hospital, reducing mortality. The purpose of this study is to characterize existing literature on predictors of transfusion and analyze their utility in the prehospital context. <b>Objectives:</b> The objectives of this study are to characterize the existing quantity and quality of literature regarding predictor scores for transfusion in injured patients, and to analyze the utility of predictor scores for massive transfusions in the prehospital setting and identify prehospital predictor scores for future research. <b>Methods:</b> A search strategy was developed in consultation with information specialists. A literature search of OVID MEDLINE from 1946 to the present was conducted for primary studies evaluating the predictive ability of scoring systems or single variables in predicting transfusion in all trauma settings. <b>Results:</b> Of the 5,824 studies identified, 5,784 studies underwent title and abstract screening, 94 studies underwent full text review, and 72 studies were included in the final review. We identified 16 single variables and 52 scoring systems for predicting transfusion. Among single predictor variables, fluids administered and systolic blood pressure had the highest reported sensitivity (100%) and specificity (89%) for massive transfusion protocol (MTP) activation, respectively. Among scoring systems for transfusion, the Shock Index and Modified Shock Index had the highest reported sensitivity (96%), whereas the Pre-arrival Model had the highest reported specificity (95%) for MTP activation. Overall, 20 scores were identified as applicable to the prehospital setting, 25 scores were identified as potentially applicable, and 7 scores were identified as not applicable. <b>Conclusions:</b> We identified an extensive list of predictive single variables, validated scoring systems, and derived models for massive transfusion, presented their properties, and identified those with potential utility in the prehospital setting. By further validating applicable scoring tools in the prehospital setting, we may begin to administer more timely transfusions in the trauma population.
DOI: 10.6084/m9.figshare.21224138.v1
title: Predictors of Transfusion in Trauma and Their Utility in the Prehospital Environment: A Scoping Review

description: <b>Background:</b> Hemorrhage is a leading cause of preventable mortality from trauma, necessitating resuscitation through blood product transfusions. Early and accurate identification of patients requiring transfusions in the prehospital setting may reduce delays in time to transfusion upon arrival to hospital, reducing mortality. The purpose of this study is to characterize existing literature on predictors of transfusion and analyze their utility in the prehospital context. <b>Objectives:</b> The objectives of this study are to characterize the existing quantity and quality of literature regarding predictor scores for transfusion in injured patients, and to analyze the utility of predictor scores for massive transfusions in the prehospital setting and identify prehospital predictor scores for future research. <b>Methods:</b> A search strategy was developed in consultation with information specialists. A literature search of OVID MEDLINE from 1946 to the present was conducted for primary studies evaluating the predictive ability of scoring systems or single variables in predicting transfusion in all trauma settings. <b>Results:</b> Of the 5,824 studies identified, 5,784 studies underwent title and abstract screening, 94 studies underwent full text review, and 72 studies were included in the final review. We identified 16 single variables and 52 scoring systems for predicting transfusion. Among single predictor variables, fluids administered and systolic blood pressure had the highest reported sensitivity (100%) and specificity (89%) for massive transfusion protocol (MTP) activation, respectively. Among scoring systems for transfusion, the Shock Index and Modified Shock Index had the highest reported sensitivity (96%), whereas the Pre-arrival Model had the highest reported specificity (95%) for MTP activation. Overall, 20 scores were identified as applicable to the prehospital setting, 25 scores were identified as potentially applicable, and 7 scores were identified as not applicable. <b>Conclusions:</b> We identified an extensive list of predictive single variables, validated scoring systems, and derived models for massive transfusion, presented their properties, and identified those with potential utility in the prehospital setting. By further validating applicable scoring tools in the prehospital setting, we may begin to administer more timely transfusions in the trauma population.
DOI: 10.6084/m9.figshare.24026469
title: Effects of referential structure on pronoun interpretation

description: Pronoun interpretation is guided by various factors. While most previously-investigated factors involve properties occurring before the pronoun, less attention has been paid to properties of the pronoun-containing clause. We investigate whether pronoun interpretation is influenced by the referential structure of the pronoun-containing clause (i.e. whether another referent from the preceding clause is mentioned), which contributes to discourse coherence. We report three experiments showing referential structure effects: whether subject-position pronouns are ultimately interpreted as referring to the preceding subject or object depends on whether the clause contains another pronoun (e.g. <i>she called Lisa</i> vs. <i>she called her</i>). More specifically, subject-position pronouns exhibit a stronger object preference when only one of the prior antecedents is mentioned, compared to when both are mentioned. We show that this effect is separate from effects of verb semantics and cannot be reduced to semantic or syntactic parallelism effects. Implications for models of pronoun resolution are discussed.
DOI: 10.25392/leicester.data.21647672
title: Virus-host interactions along a grassland soil depth profile

description: This repository contains data used in Muscatt et al. 2022 (preprint). <br> c1.ntw.gz = vConTACT2 network output file <br> DNAP_plus_ref.faa.gz = fasta amino acid file containing DNA polymerase protein sequences used for phylogenetic tree <br> DNAP_tree.gz = tree file for jumbo phage phylogenetic tree based on DNA polymerase gene <br> edges.csv.gz = edges for drawing vConTACT2 network <br> gene_to_genome.csv.gz = viral gene to genome index used as input to vConTACT2 <br> genome_by_genome.csv.gz = viral cluster statuses outputted by vConTACT2 <br> MAG_bins.fna.gz = fasta nucleotide file containing 285 microbial MAG bins previously assembled by Sharrar et al. 2020 <br> nodes.csv.gz = nodes for drawing vConTACT2 network <br> rpS3.fna.gz = fasta nucleotide file containing 1516 rpS3 sequences <br> vOTU_prediction.csv.gz = stats on viral scaffold prediction <br> vOTU_proteins.faa.gz = fasta amino acid file containing XXX dsDNA vOTU genes <br> vOTUs.fna.gz = fasta nucleotide file containing 10,196 <br> dsDNA vOTUs <br> <br> The Supplementary table titles are as follows: Table S1: Assembly statistics for sample libraries. Table S2: DNA vOTU raw reads. Table S3: Sources of hits to viral sequences in PhageClouds database. Table S4: Microbial OTU normalised coverage. Table S5: Raw read bacterial class taxonomy. Table S6: Annotations of viral-encoded auxiliary metabolic genes. Table S7: Microbial MAG normalised coverage. Table S8: Annotations of viral genes under positive selection. <br> <br> <br>
DOI: 10.25392/leicester.data.21647672.v2
title: Virus-host interactions along a grassland soil depth profile

description: This repository contains data used in Muscatt et al. 2022 (preprint). <br> c1.ntw.gz = vConTACT2 network output file <br> DNAP_plus_ref.faa.gz = fasta amino acid file containing DNA polymerase protein sequences used for phylogenetic tree <br> DNAP_tree.gz = tree file for jumbo phage phylogenetic tree based on DNA polymerase gene <br> edges.csv.gz = edges for drawing vConTACT2 network <br> gene_to_genome.csv.gz = viral gene to genome index used as input to vConTACT2 <br> genome_by_genome.csv.gz = viral cluster statuses outputted by vConTACT2 <br> MAG_bins.fna.gz = fasta nucleotide file containing 285 microbial MAG bins previously assembled by Sharrar et al. 2020 <br> nodes.csv.gz = nodes for drawing vConTACT2 network <br> rpS3.fna.gz = fasta nucleotide file containing 1516 rpS3 sequences <br> vOTU_prediction.csv.gz = stats on viral scaffold prediction <br> vOTU_proteins.faa.gz = fasta amino acid file containing XXX dsDNA vOTU genes <br> vOTUs.fna.gz = fasta nucleotide file containing 10,196 <br> dsDNA vOTUs <br> <br> The Supplementary table titles are as follows: Table S1: Assembly statistics for sample libraries. Table S2: DNA vOTU raw reads. Table S3: Sources of hits to viral sequences in PhageClouds database. Table S4: Microbial OTU normalised coverage. Table S5: Raw read bacterial class taxonomy. Table S6: Annotations of viral-encoded auxiliary metabolic genes. Table S7: Microbial MAG normalised coverage. Table S8: Annotations of viral genes under positive selection. <br> <br> <br>