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515 results for “prescribing”
The survey data of patients, prescribers, and pharmacists' feedback on ePrescription systems security and privacy
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Data: Prescribed fire enhances seed removal by ants in a Neotropical savanna
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Data set of resilience indices to drought and prescribed burning of Pinus nigra ssp. salzmannii and P. sylvestris L. trees
<p>Data on resilience and resistance indices to drought and burning inferred from tree ring width and carbon 13 isotopes for burned and unburned <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris </em>trees<em>.</em>The dataset contains two files:</p> <p>TreeGrowth.txt: Data on resilience and resistance indices to drought and prescribed burning as well as the ratio of latewood to earlywood. Indices are inferred from total tree-ring, earlywood, and latewood widths. Included variables:</p> <ul> <li> Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li> Idplot (factor): code to identify uniquely burned plots. Four levels: Miravé-Fall (1), Mirave-Spring (2), Lloreda-Fall (3) and Lloreda-Spring (4).</li> <li>Treatment (factor): whether the plot was burned or not. Two levels: control or left unburned (C) or burned (B)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall burn (F) or spring burn (S)</li> <li>Sp (factor): species. Two levels: <em>Pinus sylvestris</em> (ps) or<em> Pinus nigra </em>(pn)</li> <li>TreeCode (numeric): code to identify trees in the field</li> <li>dbh (numeric): diameter at breast height (cm)</li> <li>c12 (numeric): competition index before burning</li> <li>rci15 (numeric): release from tree competition 2 years post-burning calculated as the difference between pre (CI12) and post-burning competition (CI15) indices relative to pre-burning levels </li> <li>bchmin (numeric): minimum bole scorch height (cm)</li> <li>bchmax (numeric): maximum bole scorch height (cm)</li> <li>whiteAshes (numeric): white ashes after burning (%, in 1m radius from tree center)</li> <li>Resistance (numeric): Average basal area increment (BAI) during the stress period (drought 2012 and prescribed burning 2013) divided by the average BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR (numeric): Average total tree ring BAI of the two years after the stress period (2014 and 2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR14 (numeric): Total tree ring BAI of the first year after the stress period (2014) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilTTR15 (numeric): Total tree ring BAI of the second year after the stress period (2015) divided by average total tree ring BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW (numeric): Average earlywood BAI of the two years after the stress period (2014 and 2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW14 (numeric): Earlywood BAI of the first year after the stress period (2014) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilEW15 (numeric): Earlywood BAI of the second year after the stress period (2015) divided by average earlywood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW (numeric): Average latewood BAI of the two years after the stress period (2014 and 2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW14 (numeric): Latewood BAI of the first year after the stress period (2014) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>resilLW15 (numeric): Latewood BAI of the second year after the stress period (2015) divided by average latewood BAI of the three years preceding the stress period (2009 to 2011)</li> <li>preLWEW (numeric): mean pre-stress ratio of latewood to earlywood calculated for the period 2006-2011</li> <li>difLWEW (numeric): mean post-stress latewood:earlywood (2014-2015) minus mean pre-stress latewood:earlywood (2006-2011)</li> </ul> <p>d13c.txt: Early and late-wood carbon 13 isotope from 2011 to 2015 for <em>P. nigra</em> spp. <em>salzmannii</em> and <em>P. sylvestris</em> burned in spring and fall in year 2013 at two sites. </p> <ul> <li>Idsite (factor): code to identify uniquely each locality. Two levels: Miravé (1) and Lloreda (2).</li> <li>Sp (factor): species. Two levels: Pinus sylvestris (ps) or Pinus nigra (pn)</li> <li>BurningSeason (factor): season of the burn. Three levels: control or left unburned (C), fall (F) or spring (S)</li> <li>TreeCode (factor): code to identify trees in the field."Pool" means that a pool of 5 individuals was used to determine carbon 13 isotope.</li> <li>SeasonalGrowth (factor): seasonal wood growth. Two levels: earlywood (E) and latewood (L).</li> <li>year (numeric): calendar year.</li> <li>d13c (numeric): carbon 13 isotope<br> </li> </ul>
Data from: Pyric-carnivory: raptor use of prescribed fires
Fire is a process that shaped and maintained most terrestrial ecosystems worldwide. Changes in land use and patterns of human settlement have altered fire regimes and led to fire suppression resulting in numerous undesirable consequences spanning individual species and entire ecosystems. Many obvious and direct consequences of fire suppression have been well studied, but several, albeit less obvious, costs of alteration to fire regimes on wildlife are unknown. One such phenomenon is the response of carnivores to fire events—something we refer to as pyric-carnivory. To investigate the prevalence of pyric-carnivory in raptors, we monitored 25 prescribed fires occurring during two different seasons and across two different locations in tallgrass prairie of the central United States. We used paired point counts occurring before and during prescribed fires to quantify the use of fires by raptors. We found a strong attraction to fires with average maximum abundance nearly seven times greater during fires than prior to ignitions (before: x ̅ = 2.90, SE = 0.42; during: x ̅ = 20.20; SE = 3.29) and an average difference between fire events and immediately before fires of 15.2 (± 2.69) raptors. This result was driven by Swainson's hawks (Buteo swainsoni), which were the most abundant (n = 346) of the nine species we observed using fires. Our results illustrate the importance of fire as integral disturbance process that effects wildlife behavior through multiple mechanisms that are often overshadowed by the predominant view of fire as a tool used for vegetation management.
Figure 1 from: Bouquillon L, Bindman D, Hendriksen J, Collin P, Hoskin J, Conn R, Geagan C, Quinlivan R (2024) Workshop report: Workshop on psychiatric prescribing and psychology testing and intervention in children and adults with Duchenne muscular dystrophy. Research Ideas and Outcomes 10: e119243. https://doi.org/10.3897/rio.10.e119243
Figure 1 The Big 10 model of non-motor problems in DMD (kindly provided by Dr Jos Hendriksen).
Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing
ClinicalTrials.gov study NCT06805877. IPD Sharing: NO. Countries: 1. Publications: 0.
Finding Heart Failure in Those Prescribed Loop Diuretics in Primary Care in Jersey
ClinicalTrials.gov study NCT07320677. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Influence of Medication Taste on Pediatric Prescribers' Prescribing Habits
ClinicalTrials.gov study NCT01734759. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Social Prescribing Improving Mental Health Study
ClinicalTrials.gov study NCT04062903. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of a Multimodal Intervention on Antibiotic Prescribing for Respiratory Infections in Primary Care
ClinicalTrials.gov study NCT07359287. IPD Sharing: NO. Countries: 1. Publications: 0.
Observation of Patients With Primary Pulmonary Hypertension Receiving Prescribed Ventavis Inhalation Therapy Regarding Safety and Efficacy for up to 4 Years
ClinicalTrials.gov study NCT00250640. IPD Sharing: Not stated. Countries: 6. Publications: 0.
Effect of Prescribed Cardiac Rehabilitation in Patients With Advanced Heart Failure or Ventricular Assist Device
ClinicalTrials.gov study NCT04696900. IPD Sharing: NO. Countries: 1. Publications: 0.
Introducing Electronic Alerts to Reduce Inappropriate Digoxin Prescribing in Older Adults
ClinicalTrials.gov study NCT07008144. IPD Sharing: YES. Countries: 1. Publications: 0.
Improving Antibiotic Prescribing Practices in Mexican Primary Care Clinics
ClinicalTrials.gov study NCT00989482. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Opioid Prescribing Nudge
ClinicalTrials.gov study NCT04069403. IPD Sharing: NO. Countries: 1. Publications: 0.
Shared Decision Aid for Post-Total Knee Arthroplasty Opioid Prescribing
ClinicalTrials.gov study NCT04564729. IPD Sharing: NO. Countries: 1. Publications: 0.
Randomized Controlled Trial of Alert-Based Computerized Decision Support for Patients With Peripheral Artery Disease Not Prescribed Lipid-Lowering Therapy
ClinicalTrials.gov study NCT06300450. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Pharmacotherapy Prescribing Pattern and the Adherence Level to Iron Chelation Therapy in Thalassemia
ClinicalTrials.gov study NCT06210139. IPD Sharing: NO. Countries: 1. Publications: 0.
Perception of Female Hormonal Contraception by the Main Prescribers
ClinicalTrials.gov study NCT05528731. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pharmacogenomic-Guided Antidepressant Drug Prescribing in Cancer Patients
ClinicalTrials.gov study NCT03674138. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.