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677 results for “time of use”

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zenodo36/100

Dataset and code for the variants of the traveling salesman problem with time windows using multifactorial evolutionary algorithm

<p>Dataset and code for the variants of the traveling salesman problem with time windows using multifactorial evolutionary algorithm</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Gauge data used in 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al.

<p>The rain gauge measurements were compiled by the National Institute of Meteorology of Brazil 40 and consist of hourly gauge measurements covering the time range May 2000 until May 2020. They are used as reference data &nbsp;&#39;An improved near-real-time precipitation retrieval for Brazil&#39; by Pfreundschuh et al. and published here in order to ensure reproducibility.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

dhaw/fluCodeImperial: Using real-time data to guide decision-making during an influenza pandemic: a modelling analysis

<p><strong>All codes and data used for &quot;Using real-time data to guide decision-making during an influenza pandemic: a modelling analysis&quot; are included in this folder. The file &quot;runExamples.m&quot; contains a step-by-step method for reproducing figures and running model fits. Ensure that all data and code files are in the same directory, then a single execution of &ldquo;runExamples&rdquo; on the command line will generate all main and supplementary figures in the manuscript. There is one line of code per figure, clearly marked, that can be commented out as desired. In order to run the MCMC adaptive algorithm, a single line of code, also clearly marked, must be commented back in. Instructions to change the single-state example are given at the top of the file &ldquo;runExamples.m&rdquo;. The saved state selection of California (&ldquo;state=1&rdquo;) is consistent with all results presented in the manuscript.&nbsp;</strong></p> <p><strong>&nbsp;</strong></p> <p><strong>Plots make use of files from the following sources, with some modifications:</strong></p> <p><strong>Holger Hoffmann (2022). Violin Plot (https://www.mathworks.com/matlabcentral/fileexchange/45134-violin-plot);</strong></p> <p><strong>Evan (2022). Plot Groups of Stacked Bars (https://www.mathworks.com/matlabcentral/fileexchange/32884-plot-groups-of-stacked-bars);</strong></p> <p><strong>John Onofrey (2022). Shaded Plots and Statistical Distribution Visualizations (https://www.mathworks.com/matlabcentral/fileexchange/69203-shaded-plots-and-statistical-distribution-visualizations)</strong></p>

openother-openDec 2022View details →
zenodo36/100

Data for "Relaxing Hardware Requirements for Surface Code Circuits using Time-dynamics"

<p>Includes the circuit files for each benchmarked stim circuit (circuits.zip), the raw statistics for each memory experiment (stats.csv), the &#39;fused&#39; stats combining the X and Z error rates to represent the liklihood that neither logical observable fails&nbsp;(fused_stats.csv), the svg files for the main figures in the manuscript (svg_figures.zip), and a snapshot of the full code repo (midout.zip)</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

GNSS position time series (.neu files) and seismic velocity strcture (Profil_lat2822_Vp_Vs.dat) used in the manuscript

<p>These are the raw GNSS time series files (in .neu format) and seismic velocity strcture file (Profil_lat2822_Vp_Vs.dat) we used&nbsp;in the manuscript.&nbsp;These data are not allowed to use before the manuscript is accepted.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Characterisation of night-time outdoor lighting in small urban centres using cluster analysis of remotely sensed light emissions (Dataset)

<p>Data used for the paper &quot;Characterisation of night-time outdoor lighting in small urban centres using cluster analysis of remotely sensed light emissions&quot;.&nbsp;</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Simulated population time series used to build and test a model of accuracy for population-based global biodiversity indicators

<p class="MsoNormal">Global biodiversity is facing a crisis, which must be solved through effective policies and on-the-ground conservation. But governments, NGOs, and scientists need reliable indicators to guide research, conservation actions, and policy decisions. Developing reliable indicators is challenging because the data underlying those tools is incomplete and biased. For example, the Living Planet Index tracks the changing status of global vertebrate biodiversity, but taxonomic, geographic and temporal gaps and biases are present in the aggregated data used to calculate trends. But without a basis for real-world comparison, there is no way to directly assess an indicator's accuracy or reliability. Instead, a modelling approach can be used.</p> <p class="MsoNormal">We developed a model of trend reliability, using simulated datasets as stand-ins for the "real world", degraded samples as stand-ins for indicator datasets (e.g. the Living Planet Database), and a distance measure to quantify reliability by comparing sampled to unsampled trends. The model revealed that the proportion of species represented in the database is not always indicative of trend reliability. Important factors are the number and length of time series, as well as their mean growth rates and variance in their growth rates, both within and between time series. We found that many trends in the Living Planet Index need more data to be considered reliable, particularly trends across the global south. In general, bird trends are the most reliable, while reptile and amphibian trends are most in need of additional data. We simulated three different solutions for reducing data deficiency, and found that collating existing data (where available) is the most efficient way to improve trend reliability, and that revisiting previously-studied populations is a quick and efficient way to improve trend reliability until new long-term studies can be completed and made available.</p>

opencc-zeroJun 2023View details →
zenodo36/100

Data underpinning "Unraveling long-time quantum dynamics using flow equations"

<p>The study of many-body quantum dynamics in strongly-correlated systems is extremely challenging. To date few numerical methods exist which are capable of simulating the non-equilibrium dynamics of two-dimensional quantum systems, in part reflecting complexity theoretic obstructions. In this work, we present a new technique able to overcome this obstacle, by combining continuous unitary flow techniques with the newly developed method of scrambling transforms. We overcome the prejudice that approximately diagonalizing the Hamiltonian cannot lead to reliable predictions for relatively long times. To the contrary, we show that the method works well in both localized and delocalized phases, and makes reliable predictions for a number of quantities including infinite-temperature autocorrelation functions. We complement our findings with rigorous incremental bounds on the truncation error. This approach shows that in practice, the exploration of intermediate-scale time evolution may be more feasible than is commonly assumed, challenging near-term quantum simulators.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

EEG Dataset and Processing script Associated with the Manuscript, "Using the Time-varying Drift Rate, the Signal Suppression and the Utility Maximisation to Account for Road Crossing Decisions".

<p>The repository archived the behavioural data (zip files) associated with the EEG experiment and the MATLAB script for EEG processing.&nbsp;BDFs stored the down-sampled EEG.&nbsp;</p>

opencc-by-4.0Sep 2023View details →
ClinicalTrials.gov36/100

A Clinical Study Assessing Critical Errors, Training/Teaching Time, and Preference Attributes of the ELLIPTA® Dry Powder Inhaler, in Comparison to Combinations of Dry Powder Inhalers Used to Provide T

ClinicalTrials.gov study NCT02982187. IPD Sharing: NO. Countries: 2. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Feasibility Study on the Use of Redormin®500 on Day-time Cognition

ClinicalTrials.gov study NCT05684523. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Improving Spine Surgical Care With Real-Time Objective Patient Tracking Using the Apple Watch

ClinicalTrials.gov study NCT04379921. IPD Sharing: NO. Countries: 1. Publications: 15.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Use of Real Time Instrumentation (RTI) in Total Shoulder Arthroplasty

ClinicalTrials.gov study NCT01905241. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

A Study of Mealtime Insulin LY900014 in Participants With Type 2 Diabetes Using Continuous Glucose Monitoring (PRONTO-Time in Range)

ClinicalTrials.gov study NCT04605991. IPD Sharing: YES. Countries: 2. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

The Use of Microneedles to Expedite Treatment Time in Photodynamic Therapy

ClinicalTrials.gov study NCT02594644. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

An Epidemiological Study to Assess Iron Overload Using MRI in Patients With Transfusional Siderosis (TIMES Study)

ClinicalTrials.gov study NCT01736540. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Allogeneic Transplantation Using Timed Sequential Busulfan and Fludarabine Conditioning

ClinicalTrials.gov study NCT01572662. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Time Course Adaptations Using Deuterated Creatine (D3Cr) Method

ClinicalTrials.gov study NCT03573583. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Use of Time-lapse Morphological Kinetics in the Selection of Blastocysts

ClinicalTrials.gov study NCT02081859. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

First Time Use of SD-809 in Huntington Disease

ClinicalTrials.gov study NCT01795859. IPD Sharing: Not stated. Countries: 3. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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