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Baltimore Ecosystem Study LTER site, station NOAA Station 8574680, Baltimore, MD, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Baltimore Ecosystem Study LTER (BES) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.

Baltimore Ecosystem Study LTER site, station NOAA Station 8574680, Baltimore, MD, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale

Georgia Coastal Ecosystems site, station NOAA Station 8670870, Ft. Pulaski, GA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a monthly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a monthly timescale.

Georgia Coastal Ecosystems site, station NOAA Station 8670870, Ft. Pulaski, GA, study of mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) in units of meter on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean sea level: the arithmetic mean of hourly heights observed over the National Tidal Datum Epoch (as defined by NOAA) measurements in meter units and were aggregated to a yearly timescale.

opencc-zeroAug 2020View details →

Data from: Headache study: The management of chronic headache with referral from primary care to direct access to Magnetic Resonance Imaging (MRI) compared to Neurology services: an observational prospective study in London

Objectives. To evaluate the cost, accessibility and patient satisfaction implications of two clinical pathways used in the management of chronic headache. Intervention. Management of chronic headache following referral from Primary Care that differed in the first appointment, either a Neurology appointment or an MRI brain scan. Design and setting. A pragmatic, non-randomised, prospective, single-center study at a Central Hospital in London. Participants. Adult patients with chronic headache referred from Primary to Secondary Care. Primary and secondary outcome measures. Participants' use of health care services and costs were estimated using primary and secondary care databases and questionnaires quarterly up to 12 months post-recruitment. Cost analyses were compared using generalised linear models (GLM). Secondary outcomes assessed: access to care, patient satisfaction, headache burden and self-perceived quality of life using headache-specific (MIDAS, HIT-6) and a generic questionnaire (EQ-5D-5L). Results. Mean (SD) cost up to 6 months post-recruitment per participant was £578 (£420) for the Neurology group (n=128) and £245 (£172) for the MRI group (n=95), leading to an estimated mean cost difference of £333 (95% CI £253 to £413, p<0.001). The mean cost difference at 12 months increased to £518 (95% CI £401 to £637, p<0.001). When adjusted for baseline and follow-up imbalances between groups, this remained statistically significant. The utilisation of brain MRI improved access to care compared to the Neurology group (p<0.001). Participants in the Neurology group reported higher levels of satisfaction associated with the pathway and led to greater change in care management. Conclusion. Direct referral to brain MRI from Primary Care led to cost-savings and quicker access to care but lower satisfaction levels when compared with referral to Neurology services. Further research into the use of brain MRI for a subset of patient population more likely to be reassured by a negative brain scan should be considered.

opencc-zeroDec 2020View details →

Data from: Time to market for drugs approved in Canada between 2014-2018: an observational study

Objectives: This study examines the length of time between when a patent application is filed in Canada for a new drug and when it is available for patients (time to market) and various components of that time. It also looks at whether various factors explain the time between patent application to New Drug Submission and compares Canadian and American times. Drugs approved between January 1, 2014 and December 31, 2018 are examined. Design: Descriptive study Data Sources: Websites from Health Canada, Food and Drug Administration, Merck Index, United States Patent and Trademark Office, World Health Organization and previously published articles. Interventions: None Primary and Secondary Outcomes: The primary outcomes are time to market, time from patent application to New Drug Submission (pre-NDS time), review time, time from approval to availability (postapproval time) and factors that may influence the pre-NDS time. The secondary outcome is a comparison of Canadian and American review times and times between patent application and approval. Results: There were 113 drugs available for analysis. The median time to market was 11.80 years (inter-quartile range (IQR) 9.40, 14.05). The component median times were pre-NDS 10.00 years (IQR 8.05, 12.80), review time 0.96 years (IQR 0.75, 1.15) and postapproval time 0.15 years (IQR 0.08, 0.28). Less than 8% of the pre-NDS time was explained by the factors that were analyzed in a multiple linear regression equation. There was no statistically significant difference between Canadian and American pre-NDS times. Conclusion: On average, once a drug reaches the market companies have a median of 8.2 years before the patent expires and generics can reach the market. Most of the time between the filing of a patent application and when a drug is marketed is determined by decisions that are largely under the control of the company.

opencc-by-4.0Dec 2020View details →

Data for "A Phaseless Auxiliary-Field Quantum Monte Carlo Perspective on the UniformElectron Gas at Finite Temperatures: Issues, Observations, and Benchmark Study"

Phaseless AFQMC data (input and output) for "A Phaseless Auxiliary-Field Quantum Monte Carlo Perspective on the UniformElectron Gas at Finite Temperatures: Issues, Observations, and Benchmark Study"    data: contains raw qmc data figures: contains analysed data + plotting scripts.

opencc-zeroDec 2014View details →

Data from: Statin use and cognitive function: population-based observational study with long-term follow-up

We aimed to evaluate the association between statin use and cognitive function. Cognitive function was measured with the Ruff Figural Fluency Test (RFFT; worst score, 0; best score, 175 points) and the Visual Association Test (VAT; low performance, 0–10; high performance, 11–12 points) in an observational study that included 4,095 community-dwelling participants aged 35–82 years. Data on statin use were obtained from a computerized pharmacy database. Analysis were done for the total cohort and subsamples matched on cardiovascular risk (N = 1232) or propensity score for statin use (N = 3609). We found that a total of 904 participants (10%) used a statin. Statin users were older than non-users: mean age (SD) 61 (10) vs. 52 (11) years (p<0.001). The median duration of statin use was 3.8 (interquartile range, 1.6–4.5) years. Unadjusted, statin users had worse cognitive performance than non-users. The mean RFFT score (SD) in statin users and non-users was 58 (23) and 72 (26) points, respectively (p<0.001). VAT performance was high in 261 (29%) statin users and 1351 (43%) non-users (p<0.001). However, multiple regression analysis did not show a significant association of RFFT score with statin use (B, −0.82; 95%CI, −2.77 to 1.14; p = 0.41) nor with statin solubility, statin dose or duration of statin use. Statin users with high doses or long-term use had similar cognitive performance as non-users. This was found in persons with low as well as high cardiovascular risk, and in younger as well as older subjects. Also, the mean RFFT score per quintile of propensity score for statin use was comparable for statin users and non-users. Similar results were found for the VAT score as outcome measure. In conclusion, statin use was not associated with cognitive function. This was independent of statin dose or duration of statin use.

opencc-zeroDec 2013View details →

Data from: What keeps family physicians busy in Portugal? A multi-centre observational study of work other than direct patient contacts

Objectives: To quantify the time spent by family physicians (FP) on tasks other than direct patient contact, to evaluate job satisfaction, to analyse the association between time spent on tasks and physician characteristics, the association between the number of tasks performed and physician characteristics and the association between time spent on tasks and job satisfaction. Design: Cross-sectional, using time-and-motion techniques. Two workdays were documented by direct observation. A significance level of 0.05 was adopted. Setting: Multicentric in 104 Portuguese family practices. Participants: A convenience sample of FP, with lists of over 1000 patients, teaching senior medical students and first-year family medicine residents in 2012, was obtained. Of the 217 FP invited to participate, 155 completed the study. Main outcomes measured: Time spent on tasks other than direct patient contact and on the performance of more than one task simultaneously, the number of direct patient contacts in the office, the number of indirect patient contacts, job satisfaction, demographic and professional characteristics associated with time spent on tasks and the number of different tasks performed, and the association between time spent on tasks and job satisfaction. Results: FP (n=155) spent a mean of 143.6 min/day (95% CI 135.2 to 152.0) performing tasks such as prescription refills, teaching, meetings, management and communication with other professionals (33.4% of their workload). FP with larger patient lists spent less time on these tasks (p=0.002). Older FP (p=0.021) and those with larger lists (p=0.011) performed fewer tasks. The mean job satisfaction score was 3.5 (out of 5). No association was found between job satisfaction and time spent on tasks. Conclusions: FP spent one-third of their workday in coordinating care, teaching and managing. Time devoted to these tasks decreases with increasing list size and physician age.

opencc-zeroDec 2017View details →

Data from: Validation of the hospital frailty risk score in a tertiary care hospital in Switzerland: results of a prospective, observational study

Objectives: Recently, the Hospital Frailty Risk Score based on a derivation and validation study in the United Kingdom has been proposed as a low-cost, systematic screening tool to identify older, frail patients who are at greater risk of adverse outcomes and for whom a frailty-attuned approach might be useful. We aimed to validate this Score in an independent cohort in Switzerland. Design: Secondary analysis of a prospective, observational study (TRIAGE study). Setting: One 600-bed tertiary care hospital in Aarau, Switzerland Participants: Consecutive medical inpatients aged 75 years or older that presented to the emergency department or were electively admitted between October 2015 and April 2018. Primary and secondary outcome measures: The primary endpoint was all-cause 30-day mortality. Secondary endpoints were length of hospital stay, hospital readmission, functional impairment, and quality of life measures. We used multivariate regression analyses. Results: Of 4957 included patients, 3150 (63.5%) were classified as low risk, 1663 (33.5%) intermediate risk, and 144 (2.9%) high risk for frailty. Compared to the low-risk group, patients in the moderate risk and high-risk groups had increased risk for 30-day mortality (odds ratio [OR] 2.53, 95%CI 2.09 to 3.06, P<0.001 and OR 4.40, 95%CI 2.94 to 6.57, P<0.001) with overall moderate discrimination (area under the ROC curve 0.66). The results remained robust after adjustment for important confounders. Similarly, we found longer length of hospital stay, more severe functional impairment and a lower quality of life in higher risk group patients. Conclusion: Our data confirms the prognostic value of the Hospital Frailty Risk Score to identify older, frail people at risk for mortality and adverse outcomes in an independent patient population. Trial registration number: ClinicalTrials.gov; Identifier: NCT01768494

opencc-zeroDec 2017View details →

Data from: An investigation of sepsis surveillance and emergency treatment on patient mortality outcomes: an observational cohort study

Objective. To determine the prevalence of initiating the sepsis 3-hour bundle of care and estimate effects of bundle completion on risk-adjusted mortality among ED patients screened-in by electronic surveillance. Materials and Methods. This was a multiple center observational cohort study conducted in 2016. The study population was comprised of patients screened-in by St. John Sepsis Surveillance Agent within four hours of ED arrival, had a sepsis bundle initiated, and admitted to hospital. We built multivariable logistic regression models to estimate impact of a 3-hour bundle completed within three hours of arrival on mortality outcomes. Results. Approximately 3% ED patients were screened-in by electronic surveillance within four hours of arrival and admitted to hospital. Nearly 7 in 10 (69%) patients had a bundle initiated, with most bundles completed within three hours of arrival. The fully-adjusted risk model achieved good discrimination on mortality outcomes (AUROC = .82, 95% CI = .79 to .85) and estimated 34% reduced mortality risk among patients with a bundle completed within three hours of arrival compared to non-completers. Discussion. The sepsis bundle is an effective intervention for many vulnerable patients, and likely to be completed within three hours after arrival when electronic surveillance with reliable alert notifications are integrated into clinical workflow. Beginning at triage, the platform and sepsis program enables identification and management of patients with greater precision, and increases the odds of good outcomes. Conclusion. Sepsis surveillance and clinical decision support accelerate accurate recognition and stratification of patients, and facilitate timely delivery of healthcare.

opencc-zeroSep 2019View details →

Data from: Clinical Outcomes Associated with the use of the NexSite™ Hemodialysis Catheter with New Exit Barrier Technology: Results from a Prospective, Observational Multi-center Registry Study

Purpose: Decreasing the risk of catheter related bloodstream infections (CRBSIs) remains a key focus for improving outcomes and reducing cost of care for hemodialysis (HD) patients. Recent studies demonstrate CRBSI rates can be improved by managing bacterial colonization at the catheter exit site. Herein we present the results of a study documenting the clinical performance of the NexSite® HD catheter, a new tunneled central venous catheter which incorporates Exit Site Management (ESM) technology. Methods: We conducted an observational study using a prospective, multi-center registry of HD patients implanted with the NexSite® HD catheter. The primary endpoint for the study was CRBSI rate for a period up to 180-days following catheter placement. Secondary endpoints included device placement success rate, exit site healing, development of an exit site or tunnel infection, and early or late non-infectious catheter-related complications. All reasons for early non-elective catheter removal were recorded. Results: A total of 115 HD patients at 6 sites were included in the final analysis. Cumulative catheter use was 10,924 days with a mean duration of 95 days. Seven patients experienced CRBSIs during the study period resulting in a CRBSI rate of 0.64 per 1,000 catheter-days. Seventy-four patients (64.3%) had either elective catheter removal (n=56) or utilized the catheter for the entire 180-day observation period (n=18). Thirty-five patients (30%) underwent non-elective device removal either due to CRBSI (n=5), low flow (n=16), exit site issues (n=7), or for other causes (n=7). Six patients died during the observation period with 1 death due to CRBSI-associated complications and the remaining 5 deaths attributed to non-device related causes. Conclusion: Our findings demonstrate that the NexSite HD catheter equipped with ESM technology can achieve a CRBSI rate in compliance with the NKF KDOQI (National Kidney Foundation Kidney Disease Outcome Quality Initiatives) Clinical Performance Guidelines stated goal of less than 1.0/1,000 catheter-days when used in hemodialysis patients using current standard of care nursing protocols.

opencc-by-4.0Jul 2017View details →

STROBE-M quality rating sheet for observational studies

STROBE-M quality rating sheet for Observational studies.

opencc-by-4.0Oct 2023View details →

Dataset collected from the observational studies of individual cloud droplet/residual particle

This is the dataset for the review paper titled "Fog/cloud processing of atmospheric aerosols from a single particle perspective: a review of field observations".  The dataset is collected from previous studies as cited in Table 1. The dataset mainly includes the sampling sites, droplet sizes, single particle technique used, and the major particle types identified.

opencc-by-4.0Oct 2023View details →

Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations

Isotopic composition of precipitation and water vapor and LMDZ-iso and ECHAM6-wiso simulations associated with the manuscript: Françoise Vimeux, Camille Risi, Christelle Barthe, Sören François, Alexandre Cauquoin, Olivier Jossoud, Jean-Marc Metzger, Olivier Cattani, Bénédicte Minster, and Martin Werner (2024). Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations. Journal of Geophysical Research: Atmospheres, 129, e2023JD039794. https://doi.org/10.1029/2023JD039794

opencc-by-4.0Dec 2023View details →

Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.

Dataset for the proposed manuscript Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.

opencc-by-4.0Dec 2023View details →

Objective sleep quality predicts subjective sleep ratings: a multiday observational study

This dataset serves as supplementary material for the referenced article.

opencc-by-4.0Apr 2024View details →

Data for a preliminary observational study on the characteristics of surface turbulent fluxes over the South China Sea Islands

data

openapache2.0Nov 2024View details →

Bridging the gap between total peroxyl radical observations and models by measuring OH reactivity to improve estimates of ozone production: a case study from the 24th Winter Olympics Games-

Open the record for dataset details and reuse information.