cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7321436
title: Supplementary Material for: Increased Weight Gain During the Long Interdialytic Period Is Associated with Minor Effects on Blood Pressure Control in Clinically Stable In-Centre Haemodialysis Patients

description: <b><i>Background/Aims:</i></b> Three-day-a-week chronic haemodialysis (cHD) involves 1 long (72 h) and 2 short (48 h) inter-dialytic periods (IDPs). We aimed to determine whether BP control following the long IDP is inferior to the short IDPs. <b><i>Methods:</i></b> All pre- and post-dialysis BP and weight measurements over a 4-week period were retrospectively analyzed among 135 clinically stable cHD patients at 2 academic centres with comparisons between measurements recorded following short and long IDPs. Subsequently, 23 clinically stable cHD patients underwent 24-h ambulatory blood pressure monitoring (ABPM) during the final day/night cycle of the long IDP and 1 short IDP within the same week. <b><i>Results:</i></b> In combined and separate analyses of the 2 retrospective cohorts, pre-dialysis BP parameters were not different following long and short IDPs despite greater inter-dialytic weight gain (IDWG) during the long IDP. Subgroup analyses of the total cohort showed no evidence for inferior BP control during the long IDP among those with high %IDWG. In the ABPM study, nocturnal hypertension and loss of nocturnal dipping were frequent. Furthermore, daytime systolic blood pressure (SBP) and pulse pressure were modestly higher during the last day/night cycle of the long compared with short IDP. <b><i>Conclusion:</i></b> In stable cHD patients, the greater IDWG that occurred during the long IDP was not associated with overtly inferior BP control as reflected in pre-dialysis BP measurements. However, modestly higher daytime SBP was evident towards the end of the long IDP by 24 h ABPM. Thus, while fluid gain has well-documented associations with hypertension and adverse cardiovascular outcomes, the excess IDWG that occurs during the long IDP exerts relatively minor effects on BP control in patients on well-established dialysis regimens that are better identified by ambulatory monitoring.
DOI: 10.6084/m9.figshare.7321436.v1
title: Supplementary Material for: Increased Weight Gain During the Long Interdialytic Period Is Associated with Minor Effects on Blood Pressure Control in Clinically Stable In-Centre Haemodialysis Patients

description: <b><i>Background/Aims:</i></b> Three-day-a-week chronic haemodialysis (cHD) involves 1 long (72 h) and 2 short (48 h) inter-dialytic periods (IDPs). We aimed to determine whether BP control following the long IDP is inferior to the short IDPs. <b><i>Methods:</i></b> All pre- and post-dialysis BP and weight measurements over a 4-week period were retrospectively analyzed among 135 clinically stable cHD patients at 2 academic centres with comparisons between measurements recorded following short and long IDPs. Subsequently, 23 clinically stable cHD patients underwent 24-h ambulatory blood pressure monitoring (ABPM) during the final day/night cycle of the long IDP and 1 short IDP within the same week. <b><i>Results:</i></b> In combined and separate analyses of the 2 retrospective cohorts, pre-dialysis BP parameters were not different following long and short IDPs despite greater inter-dialytic weight gain (IDWG) during the long IDP. Subgroup analyses of the total cohort showed no evidence for inferior BP control during the long IDP among those with high %IDWG. In the ABPM study, nocturnal hypertension and loss of nocturnal dipping were frequent. Furthermore, daytime systolic blood pressure (SBP) and pulse pressure were modestly higher during the last day/night cycle of the long compared with short IDP. <b><i>Conclusion:</i></b> In stable cHD patients, the greater IDWG that occurred during the long IDP was not associated with overtly inferior BP control as reflected in pre-dialysis BP measurements. However, modestly higher daytime SBP was evident towards the end of the long IDP by 24 h ABPM. Thus, while fluid gain has well-documented associations with hypertension and adverse cardiovascular outcomes, the excess IDWG that occurs during the long IDP exerts relatively minor effects on BP control in patients on well-established dialysis regimens that are better identified by ambulatory monitoring.
DOI: 10.6084/m9.figshare.7321481.v1
title: The Effect of RSV Infection on the Respiratory Microbiome of Adults

description: Microbiome analysis script considering changes in the bacterial community over time in healthy adults challenged with RSV-A M37. <br><br>
DOI: 10.7284/122590
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR1505 using a Trimble SPS351 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321481.v2
title: The Effect of RSV Infection on the Respiratory Microbiome of Adults

description: Microbiome analysis script considering changes in the bacterial community over time in healthy adults challenged with RSV-A M37.<br>Baseline analysis examines the microbiome data at day 0, pre-RSV infection. <br> <br><br>
DOI: 10.6084/m9.figshare.7321415
title: Supplementary Material for: Low Skeletal Muscle Mass Predicts Incident Dipstick Albuminuria in Korean Adults without Chronic Kidney Disease: A Prospective Cohort Study

description: <b><i>Background:</i></b> Previous cross-sectional studies have shown that low muscle mass is associated with albuminuria in the general population. However, the longitudinal association of low muscle mass with the development of albuminuria is not well known at this time. <b><i>Methods:</i></b> We evaluated 48,101 individuals without chronic kidney disease (CKD) who underwent 2 health check-ups in 2012 and 2016. Participants’ skeletal muscle masses were measured using a bioelectrical impedance analyzer and compared via a skeletal muscle mass index (SMI; SMI [%] = total skeletal muscle mass [kg]/body weight [kg] × 100). Urine albumin was determined by dipstick semi-quantitative analysis and incident albuminuria was defined as ≥1+ dipstick albumin at the time of the second check-up. We used logistic regression analysis to determine the relationship between skeletal muscle mass and incident albuminuria. <b><i>Results:</i></b> The study participants were divided into quartiles according to baseline SMI. After 4 years, 305 cases of incident albuminuria were observed. The cumulative incidences of albuminuria were 0.78, 0.66, 0.62, and 0.47% for the first through fourth quartiles of SMI respectively. Multivariable logistic analysis revealed that the ORs (95% CIs) for incident albuminuria were 1.63 (1.05–2.55) in the first quartile compared with those in the fourth quartile and 1.40 (1.05–1.88) in the participants with sarcopenia versus those without sarcopenia. <b><i>Conclusions:</i></b> Low skeletal muscle mass was independently associated with the development of dipstick albuminuria after 4 years in Korean adults without CKD. Further research is needed to verify the role of low muscle mass in the development of albuminuria and renal injury.
DOI: 10.7284/117383
title: Gyrocompass data collected during research cruise RR1505 using a iXSea Phins instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321415.v1
title: Supplementary Material for: Low Skeletal Muscle Mass Predicts Incident Dipstick Albuminuria in Korean Adults without Chronic Kidney Disease: A Prospective Cohort Study

description: <b><i>Background:</i></b> Previous cross-sectional studies have shown that low muscle mass is associated with albuminuria in the general population. However, the longitudinal association of low muscle mass with the development of albuminuria is not well known at this time. <b><i>Methods:</i></b> We evaluated 48,101 individuals without chronic kidney disease (CKD) who underwent 2 health check-ups in 2012 and 2016. Participants’ skeletal muscle masses were measured using a bioelectrical impedance analyzer and compared via a skeletal muscle mass index (SMI; SMI [%] = total skeletal muscle mass [kg]/body weight [kg] × 100). Urine albumin was determined by dipstick semi-quantitative analysis and incident albuminuria was defined as ≥1+ dipstick albumin at the time of the second check-up. We used logistic regression analysis to determine the relationship between skeletal muscle mass and incident albuminuria. <b><i>Results:</i></b> The study participants were divided into quartiles according to baseline SMI. After 4 years, 305 cases of incident albuminuria were observed. The cumulative incidences of albuminuria were 0.78, 0.66, 0.62, and 0.47% for the first through fourth quartiles of SMI respectively. Multivariable logistic analysis revealed that the ORs (95% CIs) for incident albuminuria were 1.63 (1.05–2.55) in the first quartile compared with those in the fourth quartile and 1.40 (1.05–1.88) in the participants with sarcopenia versus those without sarcopenia. <b><i>Conclusions:</i></b> Low skeletal muscle mass was independently associated with the development of dipstick albuminuria after 4 years in Korean adults without CKD. Further research is needed to verify the role of low muscle mass in the development of albuminuria and renal injury.
DOI: 10.7284/117375
title: Meteorological Station data collected during research cruise RR1505 using a SIO MET-System instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321268.v1
title: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"<br>Species presence-absence matrix for the 25 patches of i) woodlands (PA.matrix_woodlands.txt), ii) grasslands (PA.matrix_woodlands.txt) and iii) croplands (PA.matrix_woodlands.txt)
DOI: 10.7284/117378
title: Multibeam Echosounder data collected during research cruise RR1505 using a Kongsberg EM122 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321268.v2
title: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"<br><b>Data_PAMatrix.xlsx.</b> Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment <br><br><b>ScriptAAAA.</b>R Script for effect size (ES) similarity value assessment<br><br><b>Data_DistR. xlsx.</b> Resistance distance of woodlands (DistR woodlands), grasslands (DistR grasslands) and croplands (DistR crops) for the 25 patches of woodlands, grasslands and croplands. <br><br><b>Data_EllenbergSimilarity.xlsx.</b> Data to assess the similarity of Ellenberg edaphic indicator values between each pair of assemblages (moisture, nutrient availability and pH) for the 25 patches of woodlands, grasslands and croplands. <br>-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species]) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br><b>XXXXX.R. </b>Script to calculate the similarity of Ellenberg edaphic indicator values between each pair of assemblages (moisture, nutrient availability and pH) <br><b>Data_ForLMM.xlsx.</b> Data to perform Linear Mixed Models to test the effect of i) resistance distance (DistR) with or without ii) the similarity of Ellenberg edaphic indicator values between pairs of patches on the effect size (ES) of similarity value for each habitat type and for each dispersal mode.<br><b>ScriptBBBB.</b>R Script to perform Linear Mixed Models
DOI: 10.7284/117379
title: Singlebeam Echosounder data collected during research cruise RR1505 using a Knudsen 3260 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/117382
title: Winch data collected during research cruise RR1505 using a Markey DUTW-9-11 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321268
title: Data for the manuscript "Additive effects of connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effect of connectivity provided by different habitat types drive plant assembly"<br>Data_PAMatrix.xlsx Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment.<br>Script ES_Values.R Script for effect size (ES) of similarity values assessment.<br>Data_DistR.xlsx Resistance distance of woodlands (DistR_Woodlands), grasslands (DistR_Grasslands) and croplands (DistR_Croplands) for the 25 patches of woodlands, grasslands and croplands.<br>Data_EllenbergSimilarity.xlsx Data to assess the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH) for the 25 patches of woodlands, grasslands and croplands.-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br>Script_SEllenberg.R Script to compute the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH)<br>Data_ForLMM.xlsx Data to perform Linear Mixed Models using model averaging methodology<br>Script_LMM.R Script to perform Linear Mixed Models using model averaging methodology to test the effect(s) of i) resistance distance (DistR) with or without ii) the similarity of Ellenberg edaphic indicator values between pairs of patches on the effect size (ES) of similarity value for each habitat type and for each dispersal mode.<br>
DOI: 10.7284/117386
title: Winch data collected during research cruise RR1505 using a Markey DUSH-5 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321268.v5
title: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effect of the connectivity provided by different habitat types drive plant assembly"<br>Data_PAMatrix.xlsx. Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment.<br>Script ES_Values.R Script for effect size (ES) of similarity values assessment.<br>Data_DistR.xlsx Resistance distance of woodlands (DistR_Woodlands), grasslands (DistR_Grasslands) and croplands (DistR_Croplands) for the 25 patches of woodlands, grasslands and croplands.<br>Data_EllenbergSimilarity.xlsx. Data to assess the similarity of Ellenberg edaphic indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH) for the 25 patches of woodlands, grasslands and croplands.-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br>Script_SEllenberg.R Script to compute the similarity of Ellenberg edaphic indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH)<br>Data_ForLMM.xlsx Data to perform Linear Mixed Models using model averaging methodology<br>
DOI: 10.6084/m9.figshare.7321268.v6
title: Data for the manuscript "Additive effects of the connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effect of the connectivity provided by different habitat types drive plant assembly"<br>Data_PAMatrix.xlsx Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment.<br>Script ES_Values.R Script for effect size (ES) of similarity values assessment.<br>Data_DistR.xlsx Resistance distance of woodlands (DistR_Woodlands), grasslands (DistR_Grasslands) and croplands (DistR_Croplands) for the 25 patches of woodlands, grasslands and croplands.<br>Data_EllenbergSimilarity.xlsx Data to assess the similarity of Ellenberg edaphic indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH) for the 25 patches of woodlands, grasslands and croplands.-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br>Script_SEllenberg.R Script to compute the similarity of Ellenberg edaphic indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH)<br>Data_ForLMM.xlsx Data to perform Linear Mixed Models using model averaging methodology<br>Script_LMM.R Script to perform Linear Mixed Models using model averaging methodology to test the effect(s) of i) resistance distance (DistR) with or without ii) the similarity of Ellenberg edaphic indicator values between pairs of patches on the effect size (ES) of similarity value for each habitat type and for each dispersal mode.<br>
DOI: 10.7284/117388
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise RR1506 using a Hawaii UHDAS instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321268.v7
title: Data for the manuscript "Additive effects of connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effect of connectivity provided by different habitat types drive plant assembly"<br>Data_PAMatrix.xlsx Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment.<br>Script ES_Values.R Script for effect size (ES) of similarity values assessment.<br>Data_DistR.xlsx Resistance distance of woodlands (DistR_Woodlands), grasslands (DistR_Grasslands) and croplands (DistR_Croplands) for the 25 patches of woodlands, grasslands and croplands.<br>Data_EllenbergSimilarity.xlsx Data to assess the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH) for the 25 patches of woodlands, grasslands and croplands.-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br>Script_SEllenberg.R Script to compute the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH)<br>Data_ForLMM.xlsx Data to perform Linear Mixed Models using model averaging methodology<br>Script_LMM.R Script to perform Linear Mixed Models using model averaging methodology to test the effect(s) of i) resistance distance (DistR) with or without ii) the similarity of Ellenberg edaphic indicator values between pairs of patches on the effect size (ES) of similarity value for each habitat type and for each dispersal mode.<br>
DOI: 10.6084/m9.figshare.7321268.v8
title: Data for the manuscript "Additive effects of connectivity provided by different habitat types drive plant assembly"

description: Data for the manuscript "Additive effect of connectivity provided by different habitat types drive plant assembly"<br>Data_PAMatrix.xlsx Species presence-absence matrix for the 25 patches of i) woodlands, ii) grasslands and iii) croplands for effect size (ES) similarity value assessment.<br>Script ES_Values.R Script for effect size (ES) of similarity values assessment.<br>Data_DistR.xlsx Resistance distance of woodlands (DistR_Woodlands), grasslands (DistR_Grasslands) and croplands (DistR_Croplands) for the 25 patches of woodlands, grasslands and croplands.<br>Data_EllenbergSimilarity.xlsx Data to assess the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH) for the 25 patches of woodlands, grasslands and croplands.-&gt; This excel file has 2 sheets (both species presence-absence matrix and Ellenberg indicator values for each species) for the 25 patches of woodlands, grasslands and croplands (total: 6 sheets)<br>Script_SEllenberg.R Script to compute the similarity of Ellenberg's indicator values (SE) between each pair of assemblages (moisture, nutrient avaibility and pH)<br>Data_ForLMM.xlsx Data to perform Linear Mixed Models using model averaging methodology<br>Script_LMM.R Script to perform Linear Mixed Models using model averaging methodology to test the effect(s) of i) resistance distance (DistR) with or without ii) the similarity of Ellenberg edaphic indicator values between pairs of patches on the effect size (ES) of similarity value for each habitat type and for each dispersal mode.<br>
DOI: 10.7284/117389
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR1506 using a Furuno GP-150 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7321172
title: Perioperative point of care platelet function testing and postoperative blood loss in high-risk cardiac surgery patients

description: Postoperative coagulopathic bleeding is common in cardiac surgery and associated with increased morbidity and mortality. Platelet function is affected by multiple factors, including patient and procedural characteristics. Point-of-care (POC) multiple electrode aggregometry (MEA) can rapidly detect and quantify platelet dysfunction and could contribute to optimal patient blood management. In patients undergoing CABG and heart valve surgery platelet function was assessed using POC MEA at four different perioperative timepoints in response to stimulation with four specific receptor agonists (ADP, AA, COL, TRAP). Postoperative bleeding was recorded during 24 h after surgery. Regression analyses were performed to establish associations between perioperative platelet function and postoperative blood loss. Ninety-nine patients were included in the study. Fifty-nine patients (60%) were on antiplatelet therapy (APT) at time of surgery. ADP- and AA-induced platelet aggregation declined during CPB and after decannulation from CPB, with a maximum decrease of 55% for ADP (35 vs. 77 AU at baseline; <i>P</i> P r = −0.249; <i>P</i> = 0.015). In aspirin users, the maximum decline in platelet function between baseline and CPB decannulation was related to postoperative blood loss (<i>r</i> = 0.308; <i>P</i> = 0.037). In multivariate analysis, a reduced ADP platelet function prior to surgery remained associated with postoperative blood loss (<i>r</i> = −0.239; <i>P</i> = 0.012). Reduced ADP-induced platelet aggregation at baseline is associated with increased postoperative blood loss in high-risk cardiac surgery patients.
DOI: 10.7284/117392
title: GNSS (Global Navigation Satellite System) data collected during research cruise RR1506 using a Ashtech ADU2 instrument system onboard the platform RV Roger Revelle

description: Original (unprocessed) data collected during a Field_expedition