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Dataset results
914 results for “filtered”
Data for "Turnkey photonic flywheel in a microresonator-filtered laser"
<p>This dataset contains the data presented in the figures of the article "Turnkey photonic flywheel in a microresonator-filtered laser".</p><p>The source data for curved plots in the figures in the article is packaged as a independent Matlab figure file (.fig). </p>
Figure 1 from: Filter M, Candela L, Guillier L, Nauta M, Georgiev T, Stoev P, Penev L (2019) Open Science meets Food Modelling: Introducing the Food Modelling Journal (FMJ). Food Modelling Journal 1: e46561. https://doi.org/10.3897/fmj.1.46561
Figure 1 - Workflow for conversion of FSK-ML metadata into Model manuscripts.
Implementation of an Ensemble Kalman Filter in the Community Multiscale Air Quality Model (CMAQ Model v5.1) for Data Assimilation of Ground-level PM2.5: Model Simulation Outputs
<p>This data sets are model outputs from CMAQ simulations. The output contains only PM2.5 variable after combining related aerosol species. File format is netCDF binary. File naming convention for Domain 1 (D1) is D1_EXP_DATE_TIME_e000.nc where EXP is the control experiment (CTR) or the assimilation experiments (DA_icbc), DATE means YYYYMMDD format date, TIME indicates 2 digits UTC time, and e000 represents ensemble mean result. Also, file naming convention for Domain 2 (D2) is D2_EXP_CASE_DATE_TIME_e000 where EXP is the control experiment (CTR) or the assimilation experiments (DA_ic and DA_icbc), CASE is the simulation cases for ANL or PRD, DATE means YYYYMMDD format date, TIME indicates 2 digits UTC time, and e000 represents ensemble mean result. For the processed and assimilated observation data in this study for D1 and D2, the file names are D1_OBS_DATA_YYYYMMDDhh.txt and D2_OBS_DATA_YYYYMMDDhh.txt, respectively, where YYYYMMDD is date format and hh is UTC.</p>
An updated metal-dependent theoretical scenario for Classical Cepheids (full sample of theoretical light curves converted in Johnsons, Gaia and HST-WFC3 filters))
<p>Converted_light_curves --> Main directory containing 4 subdirectories Z0p004, Z0p008, Z0p02, and Z0p03 for the four different analyzed chemical compositions</p> <p> </p> <p>Z0p004--> directory containing results for a metallicity Z=0.004 and Helium content Y=0.25</p> <p>Z0p008--> directory containing results for a metallicity Z=0.008 and Helium content Y=0.25</p> <p>Z0p02--> directory containing results for a metallicity Z=0.02 and Helium content Y=0.28</p> <p>Z0p03--> directory containing results for a metallicity Z=0.03 and Helium content Y=0.28</p> <p>Inside each of these 4 subdirectories are two subdirectories 'curves_F' and 'curves_FO' for the two analyzed pulsational modes, fundamental (F) and first overtone (FO).</p> <p>Inside 'curves_F' and 'curves_FO' are the files of the bolometric light curves converted into the Gaia EDR3 filters, G, GBP, and GRP, the HST WFC3 filters F110W, F160W, F814W, F125W, F475W, F606W and F555W and the Johnson-Cousins bands U, B, V, R, J, H, K.</p> <p>The file names are tokenized as follows.</p> <p>curves_token1_token2_token3_token4_token5_token6_token7_token8_token9.csv'</p> <p> </p> <p>where</p> <p>token1 is the effective temperature in Kelvin</p> <p>token2 is the logarithmic luminosity in solar units</p> <p>token3 is the stellar mass in solar units</p> <p>token4 is the mixing length value</p> <p>token5 is the ML relation assumption (See text for more details)</p> <p>token6 is the period in days</p> <p>token7 is the chemical composition</p> <p>token8 is the pulsational mode</p> <p>token9 is the photometric passband</p> <p> </p> <p>Inside each curves’ file, the various columns represent the time in seconds, the bolometric magnitude, and the converted magnitudes in the aforementioned bands.</p>
Supporting data and code for "The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community".
<p>R code and dataset for: Menegotto A., Dambros C.S. & Netto S.A. 2019. The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community. Ecology, 100, e02721.</p>
A Bibliometric Study on the Filter Bubble Phenomenon in Online Social Media Platforms
Open the record for dataset details and reuse information.
Data obtained by placing a multimodal interference filter inside a laser cavity, both with and without graphene
<p>The data shown here were obtained by coating a multimodal interference optical fiber filter with graphene. The data are divided into the following stages:</p> <ul> <li>Spectrum of the multimodal interference filter inside the laser cavity at different pump powers.</li> <li>Spectrum of the multimodal interference filter coated with graphene and PMMA inside the laser cavity at different pump powers.</li> <li>Spectrum of the multimodal interference filter coated with graphene inside the laser cavity at different pump powers.</li> </ul> <p>Additionally, the pulses generated by the laser cavity were obtained in the stages described above.</p>
Deep-Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments
<p>Abstract</p> <p>Computational spectroscopic instruments with broadband encoding stochastic (BEST) filters allow the reconstruction of the spectrum at high precision with only a few filters. However, conventional design manners of BEST filters are often heuristic and may fail to fully explore the encoding potential of BEST filters. The parameter constrained spectral encoder and decoder (PCSED)—a neural network-based framework—is presented for the design of BEST filters in spectroscopic instruments. By incorporating the target spectral response definition and the optical design procedures comprehensively, PCSED links the mathematical optimum and practical limits confined by available fabrication techniques. Benefiting from this, a BEST-filter-based spectral camera presents a higher reconstruction accuracy with up to 30 times enhancement and better tolerance to fabrication errors. The generalizability of PCSED is validated in designing metasurface- and interference-thin-film-based BEST filters.</p> <p> </p> <p>Please refer to https://github.com/Hao-Laboratory/PCSED for the source code for data analysis and visualization.</p>
Fox Pool Filter (Dismantled)
**MESH PARAMETERS** **Object Description:** Digitized weathered, side-mount, fiberglass sand filter for swimming pool; Real-life approximate dimensions 30.5"x90"x42" **Watertight:** No <br> **TEXTURE PARAMETERS** **Count:** 1 **Size:** 8,192 x 8,192 **Delighting:** Yes Source: Objaverse 1.0 / Sketchfab
Berkefeld water filter
ID no.: KGZ 4520 Museum: The Museum of Pharmacy at the Jagiellonian University Medical College in Kraków https://muzea.malopolska.pl/en/objects-list/885 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Excimer Laser Assisted IVC Filter Retrieval
ClinicalTrials.gov study NCT02240251. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Blood Purification With Seraph 100 Microbind Affinity Blood Filter for Treatment of Severe COVID19 Observational Study
ClinicalTrials.gov study NCT04606498. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
National Inferior Vena Cava (IVC) Filter Registry
ClinicalTrials.gov study NCT01367184. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Incidence of Platelet Refractoriness in Adult Acute Leukemia Patients Receiving Prestorage Filtered Blood and Comparing With Historical Control
ClinicalTrials.gov study NCT06325553. IPD Sharing: YES. Countries: 1. Publications: 0.
Low Vision Patients' Preference for Colored Filters and Illumination for Near Reading Determined by the LuxIQ/2
ClinicalTrials.gov study NCT03192722. IPD Sharing: NO. Countries: 1. Publications: 0.
Reducing the Negative Effects of Surgical Conditions Use of Double Layer Mask Against Electrocautery With Smoke Filter
ClinicalTrials.gov study NCT06550492. IPD Sharing: NO. Countries: 1. Publications: 0.
A Community-based Participatory Research (CBPR) Intervention for Childhood Asthma Using Air Filters and Air Conditioners
ClinicalTrials.gov study NCT00839046. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Safety and Efficacy of Single-use Precision Filtered Infusion Sets for Intravenous Infusion
ClinicalTrials.gov study NCT04962516. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of a Blue Light Filtering IOL
ClinicalTrials.gov study NCT00571831. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Addiction Potential of Very Low Nicotine Filtered Little Cigars
ClinicalTrials.gov study NCT06630728. 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.