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932 results for “Long term data”
Data from: Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional herbicide water quality data
PLEASE NOTE, THESE DATA ARE ALSO REFERRED TO IN ANOTHER PUBLICATION. PLEASE SEE http://doi.org/10.2134/jeq2013.12.0518. Goodwater Creek Experimental Watershed (GCEW) has been the focus area of a long-term effort to document the extent of and to understand the factors controlling herbicide transport. We document the datasets generated in the 20-yr-long research effort to study the transport of herbicides to surface and groundwater in the GCEW. This long-term effort was augmented with a spatially broad effort within the Central Mississippi River Basin encompassing 12 related claypan watersheds in the Salt River Basin, two cave streams on the fringe of the Central Claypan Areas in the Bonne Femme watershed, and 95 streams in northern Missouri and southern Iowa. Details of the analytical methods, periods of record, number of samples, study locations, and means of accessing these data are provided. In addition, a brief overview of significant findings is presented. A key finding was that near-surface restrictive soil layers, such as argillic horizons of smectitic mineralogy, result in greater herbicide transport than soils with high percolation and low clay content. Because of this, streams in the claypan soil watersheds of northeastern Missouri have exceptionally high herbicide concentrations and relative loads compared with other areas of the Corn Belt.
Data from: Clinical factors associated with long-term complete remission versus poor response to chemotherapy in HIV-infected children and adolescents with Kaposi sarcoma receiving bleomycin and vincristine: a retrospective observational study
Kaposi sarcoma (KS) is the most common HIV-associated malignancy in children and adolescents in Africa. Pediatric KS is distinct from adult disease. We evaluated the clinical characteristics associated with long-term outcomes. We performed a retrospective observational analysis of 70 HIV-infected children and adolescents with KS less than 18 years of age diagnosed between 8/2010 and 6/2013 in Lilongwe, Malawi. Local first-line treatment included bleomycin and vincristine plus nevirapine-based highly active anti-retroviral therapy (HAART). Median age was 8.6 years (range 1.7–17.9); there were 35 females (50%). Most common sites of presentation were: lymph node (74%), skin (59%), subcutaneous nodules (33%), oral (27%), woody edema (24%), and visceral (16%). Eighteen (26%) presented with lymphadenopathy only. Severe CD4 suppression occurred in 28%. At time of KS diagnosis, 49% were already on HAART. Overall, 28% presented with a platelet count < 100 x 109/L and 37% with hemoglobin < 8 g/dL. The 2-year event-free (EFS) and overall survival (OS) were 46% and 58% respectively (median follow-up 29 months, range 15–50). Multivariable analysis of risk of death and failure to achieve EFS demonstrated that visceral disease (odds ratios [OR] 19.08 and 11.61, 95% CI 2.22–163.90 and 1.60–83.95 respectively) and presenting with more than 20 skin/oral lesions (OR 9.57 and 22.90, 95% CI 1.01–90.99 and 1.00–524.13 respectively) were independent risk factors for both. Woody edema was associated with failure to achieve EFS (OR 7.80, 95% CI 1.84–33.08) but not death. Univariable analysis revealed that lymph node involvement was favorable for EFS (OR 0.28, 95% CI 0.08–0.99), while T1 TIS staging criteria, presence of cytopenias, and severe immune suppression were not associated with increased mortality. Long-term complete remission is achievable in pediatric KS, however outcomes vary according to clinical presentation. Based on clinical heterogeneity, treatment according to risk-stratification is necessary to improve overall outcomes.
Data used in "Revisiting the recent European droughts from a long-term perspective"
<p>Data used for evaluation on "Revisiting the recent European droughts from a long-term perspective".</p>
Data from: Long-term evolution on complex fitness landscapes when mutation is weak
Understanding evolution on complex fitness landscapes is difficult both because of the large dimensionality of sequence space and the stochasticity inherent to population-genetic processes. Here I present an integrated suite of mathematical tools for understanding evolution on time-invariant fitness landscapes when mutations occur sufficiently rarely that the population is typically monomorphic and evolution can be modeled as a sequence of well-separated fixation events. The basic intuition behind this suite of tools is that surrounding any particular genotype lies a region of the fitness landscape that is easy to evolve to, while other pieces of the fitness landscape are difficult to evolve to (due to distance, being across a fitness valley, etc.). I propose a rigorous definition for this ``dynamical neighborhood' of a genotype which captures several aspects of the distribution of waiting times to evolve from one genotype to another. The neighborhood structure of the landscape as a whole can be summarized as a matrix, and I show how this matrix can be used to approximate the expected waiting time for certain evolutionary events to occur and to provide an intuitive interpretation to existing formal results on the index of dispersion of the molecular clock.
Data from: WMH and long-term outcomes in ischemic stroke: a systematic review and meta-analysis
OBJECTIVE: To investigate the relationship between baseline white matter hyperintensities (WMH) in patients with ischemic stroke and long-term risk of dementia, functional impairment, recurrent stroke, and mortality. METHODS: Following the MOOSE and PRISMA guidelines (PROSPERO protocol: CRD42018092857), we systematically searched Medline and Scopus for cohort studies of ischemic stroke patients examining whether MRI- or CT-assessed WMH at baseline are associated with dementia, functional impairment, recurrent stroke, and mortality at 3 months or later post-stroke. We extracted data and evaluated study quality with the Newcastle-Ottawa scale. We pooled relative risks (RR) for the presence and severity of WMH using random-effects models. RESULTS: We included 104 studies with 71,298 ischemic stroke patients. Moderate/severe WMH at baseline were associated with increased risk of dementia (RR: 2.17, 95%CI: 1.72-2.73), cognitive impairment (RR: 2.29, 95%CI: 1.48-3.54), functional impairment (RR: 2.21, 95%CI: 1.83-2.67), any recurrent stroke (RR: 1.65, 95%CI: 1.36-2.01), recurrent ischemic stroke (RR: 1.90, 95%CI: 1.26-2.88), all-cause mortality (RR: 1.72, 95%CI: 1.47-2.01), and cardiovascular mortality (RR: 2.02, 95%CI: 1.44-2.83). The associations followed dose-response patterns for WMH severity and were consistent for both MRI- and CT-defined WMH. The results remained stable in sensitivity analyses adjusting for age, stroke severity, and cardiovascular risk factors, in analyses of studies scoring high in quality, and in analyses adjusted for publication bias. CONCLUSIONS: Presence and severity of WMH are associated with substantially increased risk of dementia, functional impairment, stroke recurrence, and mortality after ischemic stroke. WMH may aid clinical prognostication and the planning of future clinical trials.
Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
The long-term species diversity patterns in marine fish communities are garnering increasing attention from ecologists and conservation biologists. However, current databases on quantitative abundance information lack consistent long-term time series, which are particularly important in exploring the possible underlying mechanism of community changes and evaluating the effectiveness of biodiversity conservation measures. Here we describe an impinged fish assemblage dataset containing 1, 283, 707 individuals from 439 taxa. Once a month over 19 years (1987–1990 and 2000–2014), we systematically collected the fish killed by impingement upon cooling water intake screens at two nuclear power plants on the northern coast of Taiwan. Because impingement surveys have low sampling errors and can be carried out over many years, they serve as an ideal sampling tool for monitoring how fish diversity and community structure vary over an extended period of time.
Data from: Potential breeding distributions of U.S. birds predicted with both short-term variability and long-term average climate data
Climate conditions, such as temperature or precipitation averaged over several decades strongly affect species distributions, as evidenced by experimental results and a plethora of models demonstrating statistical relations between species occurrences and long-term climate averages. However, long-term averages can conceal climate changes that have occurred in recent decades and may not capture actual species occurrence well because the distributions of species, especially at the edges of their range, are typically dynamic and may respond strongly to short-term climate variability. Our goal here was to test whether bird occurrence models can be predicted by either covariates based on short-term climate variability or on long-term climate averages. We parameterized species distribution models (SDMs) based on either short-term variability or long-term average climate covariates for 320 bird species in the conterminous U.S., and tested whether any life-history trait-based guilds were particularly sensitive to short-term conditions. Models including short-term climate variability performed well based on their cross-validated AUC score (0.85), as did models based on long-term climate averages (0.84). Similarly, both models performed well compared to independent presence/absence data from the North American Breeding Bird Survey (independent AUC of 0.89 and 0.90, respectively). However, models based on short-term variability covariates more accurately classified true absences for most species (73% of true absences classified within the lowest quarter of environmental suitability versus 68%). In addition, they have the advantage that they can reveal the dynamic relationship between species and their environment because they capture the spatial fluctuations of species potential breeding distributions. With this information we can identify which species and guilds are sensitive to climate variability, identify sites of high conservation value where climate variability is low, and assess how species' potential distributions may have already shifted due recent climate change. However, long-term climate averages require less data and processing time and may be more readily available for some areas of interest. Where data on short-term climate variability are not available, long-term climate information is a sufficient predictor of species distributions in many cases. However, short-term climate variability data may provide information not captured with long-term climate data for use in SDMs.
Long term butterfly trip species presence data with list lengths
<p>These data were used as part of a study analyzing the patterns of changing phenology and abundance. Species day of year observations were analyzed using quantile regression (of the 0.1 and 0.9 quantiles) of over years. Species abundance trends were measured using list length analysis, the result being the annual change in the proportion of trips on which a species was observed. Both phenology and abundance metrics were correlated and analyzed to understand thier potential relationship. Please refer to the manuscript, appendix, and metadata for more information.</p>
An Electronic Data Capture Study to Assess the Long-term Performance of the DePuy PROXIMA™ Hip in Primary Total Hip Replacement
ClinicalTrials.gov study NCT01134445. IPD Sharing: Not stated. Countries: 4. Publications: 0.
Use of Computer-based Patient-reported Data to Assess Long Term and Late Effects of Head and Neck Cancer at the Point-of-care
ClinicalTrials.gov study NCT01803061. IPD Sharing: Not stated. Countries: 1. Publications: 0.
An Open-label, Rollover Study Providing Continued Dosing of Gevokizumab in Order to Assess Long-term Gevokizumab Safety Data
ClinicalTrials.gov study NCT02258854. IPD Sharing: Not stated. Countries: 1. Publications: 0.
REal-time Data Monitoring for Shared Adaptive, Multi-domain and Personalised Prediction and Decision Making for Long-term Pulmonary Care Ecosystems (RE-SAMPLE)
ClinicalTrials.gov study NCT04955080. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Training and Support Programme on Data-driven Quality Development for Swiss Long-Term Care Facilities (NIP-Q-UPGRADE Subaim 2.6)
ClinicalTrials.gov study NCT07068009. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Long-term Visual Acuity Data After Bilateral Implantation of the Aspheric EDOF Lens ACUNEX® Vario
ClinicalTrials.gov study NCT06906718. IPD Sharing: NO. Countries: 1. Publications: 0.
Testing the Implementation of a Toolbox to Optimize Data Collection and Data Quality of the National Medical Quality Indicators in Long-term Care Facilities: a Pilot Study. (NIP-Q-UPGRADE Subaim 1.8)
ClinicalTrials.gov study NCT06848725. IPD Sharing: NO. Countries: 1. Publications: 0.
Protocol For Collecting Long-Term Follow-Up Data On Recipients of Bone Marrow and Blood Stem Cell Transplant
ClinicalTrials.gov study NCT00674882. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study to Assess the Safety and Efficacy of Etanercept in Patients Treated Over the Long-term in Real-world Clinical Practice, Using Data Collected by the British Society of Rheumatology Biologics Regi
ClinicalTrials.gov study NCT01646385. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Long-term Data Collection for Subjects in MDX-010 Studies
ClinicalTrials.gov study NCT00928031. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Creating a Global Research Database That Connects Genetic Information and Long-term Health Data to Improve Personalized Treatment for People With Serious Mental Illness
ClinicalTrials.gov study NCT06641726. IPD Sharing: NO. Countries: 1. Publications: 0.
Sharing Digital Self-Monitoring Data With Others to Enhance Long-Term Weight Loss
ClinicalTrials.gov study NCT05180448. IPD Sharing: NO. 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.