Find research datasets worth reusing

opencc-by-4.0Jul 2021View details →

Comparing and Combining Existing and Emerging Data Collection and Modeling Strategies in Support of Signal Control Optimization and Management (Project M2)

For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field observations in their updates of time-of-day signal timing plans.  These traditional signal optimization methods and tools use very limited amount of data and depend on default values in the signal timing optimization/simulation tools to estimate network performance under different signal optimization strategies. In recent years, new data collection technologies are emerging including high resolution controller data, more advanced detection technologies such as video image detection that are based on vehicle tracking and possible integration with microwave detectors, automatic-vehicle based identification technologies, third party crowdsourcing data, connected vehicles, and connected automated vehicles data.  The objective of the proposed study is to propose methods and algorithms to combine data collected from existing and emerging sources with enhanced models and optimization algorithms to optimize and manage signal operations. The results from applying the developed methods and algorithms will be compared with traditional signal timing and optimization methods currently used by transportation agencies.

opencc-zeroOct 2022View details →

EPA particulate matter data – Analyses using Local Control Strategy

Analyses of large observational datasets tend to be complicated and prone to fault depending upon the variable selection, data cleaning and analytic methods employed. Here, we discuss the analysis of 2016 US environmental epidemiology data and outline a new "benchmark" Non-parametric and Unsupervised analysis of these data. Readers are invited to download our CSV file from the archive and apply whatever analytic approach they think appropriate. We hope to encourage the development of a widely-held "consensus view" on the effects of Secondary Organic Aerosols (Volatile Organic Compounds that have predominantly Biogenic or Anthropogenic origin) within PM2.5 particulate matter on Circulatory and/or Respiratory mortality. For example, the reanalyses described here focus on the question: "Can life in a region with an abundance of trees be relatively dangerous?"

opencc-by-4.0Nov 2022View details →

Data for MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications

This repository contains the results of simulations exposed in the article MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications. Notebooks for easy plotting of the results are contained in this repository. The README.txt contains light explainations regarding how to use those notebooks. This article is yet to be published at the time of writing.

opencc-by-4.0Apr 2023View details →

Large-scale saliva pooling as a screening strategy to control transmission_raw data

This dataset include the raw data of our experience after building a bespoke laboratory to control critical areas by pooling samples of saliva. From August 2020 to February 2022; 928,528 individual self-samples of saliva were processed in 52,580 pools, 4,935 of which were positive and helped us detect 5,806 nonsymptomatic individuals.  The dataset was collected directly from the laboratory information system and was processed to delete the columns with sensitive information. The Dataset was charged as XLSX file and only need a compatible software. To facilitate the understanding of the data set, which uses the Galician language and an internal nomenclature of our laboratory, we include a sheet named "description" and a README file in which it defines the terms used and their equivalence with those used in the article.

opencc-by-4.0Jul 2023View details →

Improving UAV-SfM photogrammetry for modeling high-relief terrain image collection strategies and ground control quantity

This is data for the paper "Improving UAV-SfM photogrammetry for modeling high-relief terrain image collection strategies and ground control quantity". (DOI: <a href="https://doi.org/10.1002/esp.5665">https://doi.org/10.1002/esp.5665</a>) This data is openly available, provided the original work is properly cited.  The unzip Password can be found on the original paper in ESPL.

controlledIPD-YESFeb 2026View details →

MIDAS Cluster Randomized Controlled Trial of Implementation Strategies to Optimize Use of Medications in VA Clinical Settings

ClinicalTrials.gov study NCT05065502. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →

Effectiveness of Coping Strategies on the Control of Chronic Non-Cancer Pain and Quality of Life (CNCP_CopQol)

ClinicalTrials.gov study NCT04696107. IPD Sharing: YES. Countries: 1. Publications: 23.

A Randomized Controlled Trial of a Conservative Fluid Balance Strategy for Patients With Sepsis and Cardiopulmonary Dysfunction (BALANCE Study)

ClinicalTrials.gov study NCT02159079. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Trial of Low and High Intensity Strategies to Maintain BP Control

ClinicalTrials.gov study NCT00760552. IPD Sharing: Not stated. Countries: 1. Publications: 5.

Impact of Two Alternative Dosing Strategies for Trachoma Control in Niger

ClinicalTrials.gov study NCT00618449. IPD Sharing: Not stated. Countries: 2. Publications: 18.

Comparison of the Efficacy and Safety of Two Intensification Strategies in Subjects With Type 2 Diabetes Inadequately Controlled on Basal Insulin and Metformin

ClinicalTrials.gov study NCT01388361. IPD Sharing: Not stated. Countries: 12. Publications: 1.

publicOct 2022View details →

EPA particulate matter data – Analyses using Local Control Strategy

Open the record for dataset details and reuse information.

publicJan 2026View details →

Data for: Spatial-temporal analysis of natural hazards and disasters in the Greater Horn of Africa between 2010 and 2024 to inform disaster risk reduction, and surveillance and control strategies for climate and environmentally sensitive diseases

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publicFeb 2022View details →

Data from: Comparing the efficacy of control strategies for infectious disease outbreaks using field and simulation studies

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publicNov 2023View details →

Present status, future trends, and control strategies of invasive alien plants in China affected by human activities and climate change

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opencc-zeroJan 2021View details →

DragonDrop: passive dynamics and control strategies of aerial righting in the dragonfly

Dragonflies perform dramatic aerial manoeuvres when hunting prey or chasing rivals but glide leisurely with wings virtually fixed. This makes dragonflies a great system to explore how to minimize the trade-off between manoeuvrability and stability. We challenged the dragonfly by dropping it from selected inverted attitudes and digitised the 6-degrees-of-freedom aerial recovery kinematics via custom motion capture techniques. From these kinematic data we then performed rigid-body inverse dynamics to reconstruct the forces and torques involved in the righting behaviour. We found that inverted dragonflies typically recover themselves with the shortest rotation from the initial body inclination. Additionally, they exhibited a strong tendency to pitch up with their head leading out of the manoeuvre. Surprisingly, anaesthetised dragonflies could also complete the aerial righting. Such passive righting disappears in recently dead dragonflies but can be partially recovered by waxing their wings to mimic the wing posture of the anesthetised dragonflies. Our inverse dynamics model and wind tunnel experiments support the idea that certain wing postures readily provide stability and may explain the dragonfly's rotational preference. This work demonstrates for the first time that aerodynamically stable body configuration exists in gliding insects, and an active insect can leverage this passive stability as needed.

opencc-zeroDec 2016View details →

Data from: Human movement, cooperation, and the effectiveness of coordinated vector control strategies

Vector-borne disease transmission is often typified by highly focal transmission and influenced by movement of hosts and vectors across different scales. The ecological and environmental conditions (including those created by humans through vector control programmes) that result in metapopulation dynamics remain poorly understood. The development of control strategies that would most effectively limit outbreaks given such dynamics is particularly urgent given the recent epidemics of dengue, chikungunya and Zika viruses. We developed a stochastic, spatial model of vector-borne disease transmission, allowing for movement of hosts between patches. Our model is applicable to arbovirus transmission by Aedes aegypti in urban settings and was parametrized to capture Zika virus transmission in particular. Using simulations, we investigated the extent to which two aspects of vector control strategies are affected by human commuting patterns: the extent of coordination and cooperation between neighbouring communities. We find that transmission intensity is highest at intermediate levels of host movement. The extent to which coordination of control activities among neighbouring patches decreases the prevalence of infection is affected by both how frequently humans commute and the proportion of neighbouring patches that commits to vector surveillance and control activities. At high levels of host movement, patches that do not contribute to vector control may act as sources of infection in the landscape, yet have comparable levels of prevalence as patches that do cooperate. This result suggests that real cooperation among neighbours will be critical to the development of effective pro-active strategies for vector-borne disease control in today's commuter-linked communities.

opencc-zeroNov 2019View details →

Data from: Plant economic strategies of grassland species control soil carbon dynamics through rhizodeposition

1. The plant economics spectrum is increasingly recognized as a major determinant of plant species effects on terrestrial ecosystem functioning related to carbon cycling. However, the role of plant economic strategies in the effects of living root activity on soil organic carbon (SOC) dynamics through rhizodeposition remains unexplored, despite SOC being the largest terrestrial carbon pool. 2. Using a continuous 13C-labeling method allowing partitioning of plant and soil sources to carbon fluxes and pools, we studied here the linkages between plant economic strategies and SOC cycling processes in a 'common garden' greenhouse experiment. It includes a panel of 12 grassland species selected along a gradient of economic traits and belonging to three functionnal groups (C3 grasses, forbs and legumes). 3. All species induced an acceleration of native SOC mineralization but this rhizosphere priming effect (RPE) substantially differed across species and varied eleven-fold by the end of the experiment (from +26 to +295 % relative to unplanted soil). Interspecific variation in RPE was primarily linked to plant photosynthetic activity associated to species economic strategies of light and CO2 resource acquisition and processing. Fast-growing acquisitive species, such as legumes, featured large RPE, in relation with their high canopy photosynthesis coupled to high leaf photosynthetic capacity and large net primary productivity allocated aboveground. This large RPE was further associated with high root metabolic activity, rhizodeposition and soil microbial activity. In contrast, fine-root growth and economic traits related to soil resource foraging ability were poor predictors of RPE. 4. The formation of new root-derived SOC varied nine-fold across species and was similarly positively related to the net primary productivity allocated aboveground. Fast-growing acquisitive species with a high photosynthetic activity induced a disproportionately large RPE relative to SOC formation. 5. Synthesis. Overall, our study demonstrates that rhizodeposition is a major mechanism through which plant economic strategies of grassland species control soil carbon dynamics. Acquisitive versus conservative species were associated with high versus low rates of photosynthesis and rhizodeposition, in turn leading to fast versus slow SOC turnover. This emphasizes the importance of considering rhizosphere processes for understanding plant species effects on soil biogeochemistry.