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ShareScore release 0.9.0
Dataset results
51 results for “Daylighting”
Efficacy of Methyl Aminolevulinate + Daylight in Patients With Facial Photodamage
ClinicalTrials.gov study NCT02139618. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy of Daylight as Adjunctive Treatment in Patients With Depression
ClinicalTrials.gov study NCT04712968. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Conventional Photodynamic Therapy Versus Daylight Photodynamic Therapy for The Treatment of Acne Vulgaris
ClinicalTrials.gov study NCT04631250. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Treatment of Basal Cell Carcinomas With Methyl Aminolevulinate and Daylight
ClinicalTrials.gov study NCT01349361. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Randomized Multicenter Study of Daylight Mediated Photodynamic Therapy (PDT)
ClinicalTrials.gov study NCT00711178. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Transepidermal Application of Metilaminolevulinate in Daylight PDT in the Treatment of Photodamaged Skin
ClinicalTrials.gov study NCT03963765. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of summer daylight exposure and genetic background on growth in growth hormone deficient children
GEO Series GSE72439. Homo sapiens. 60 samples. Type: Expression profiling by array.
Daylight Photodynamic Therapy for the Treatment of Actinic Keratoses in the Northeast United States
ClinicalTrials.gov study NCT02867722. IPD Sharing: NO. Countries: 0. Publications: 0.
Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting
Smart lighting systems in low energy commercial buildings can be expensive to implement and commission. Studies have also shown that only 50% of these systems are used after installation, and those used are not operated at full capacity due to inadequate commissioning and lack of personalization. Wireless sensor networks (WSN) have great potential to enable personalized smart lighting systems for real-time model predictive control of integrated smart building systems. In this paper we present a framework for using a WSN to develop a real-time indoor lighting inverse model as a piecewise linear function of window and artificial light levels, discretized by sub-hourly sun angles. Applied on two days of daylight and ten days of artificial light data, this model was able to predict the light level at seven monitored workstations with accuracy sufficient for daylight harvesting and lighting control around fixed work surfaces. The reduced order model was also designed to be used for long term evaluation of energy and comfort performance of the predictive control algorithms. This paper describes a WSN experiment from an implementation at the Sustainability Base at NASA Ames, a living laboratory that offers opportunities to test and validate information-centric smart building control systems.
Natural daylight during office hours improves glucose control and whole-body substrate metabolism
GEO Series GSE309688. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Light and Perception: Study of the Effects of Daylight and Artificial Light on Affect, Mood and Sleepiness under a Sky-Lighting Machine - Data-sets A-B
<p>These data-sets contain information relative to the Paper entitled “Light and Perception: Study of the Effects of Daylight and Artificial Light on Affect, Mood and Sleepiness under a Sky-Lighting Machine”</p> <p> </p> <p>Data-set A contains Affect, Sleepiness and Mood data divided by participant ID (N = 28) and session number (N=9), summarised by Task (Reading and Game) and Light Condition (Daylight DL; Artificial Light AL). We coded AL as 0 and DL as 1; Reading as 0 and Game as 1. </p> <p> </p> <p>Data-set A includes as factors Gender, Order and Time of Day. Plus these subjective parameters, used as predictors in the models: perceived Color of Light and perceived Level of Light (Brightness). </p> <p> </p> <p>These photometric values were included as predictors in the model: Mean Illuminance, referred to as Room Illuminance; Mean Correlated Color Temperature (CCT); Variation, defined as the Standard Deviation (SD) of the Illuminance values; mEDI means calculated with CIE S 026/E:2018 on the spectral values of the two median Illuminance measurements taken over the time-span of thirty minutes; Illuminance measured by the actigraphs, referred to as Personal Illuminance. Personal Illuminance values were asymmetrically distributed and were logged. </p> <p> </p> <p>Data-set B contains relevant Health Symptoms data divided by participant ID (N = 28) and session number (N=9), summarised by Task (Reading and Game) and Light Condition (Daylight DL; Artificial Light AL). </p> <p>Data-set B includes as factors Gender, Order and Time of Day. </p> <p> </p> <p>These photometric values were included as predictors in the model relative to data-set B: Mean Illuminance, referred to as Room Illuminance in the paper; Variation, defined as the Standard Deviation (SD) of the Illuminance values; mEDI means calculated with CIE S 026/E:2018 on the spectral values of the last two median Illuminance measurements of the session. </p> <p> </p> <p>The file Light-Perception_Exposure-DL-Data-set includes photometric measurements each 30 minutes in Daylight conditions. </p> <p> </p>
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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.
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.