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Dataset results
914 results for “filtered”
Transcriptome of tomato leaf tissue grown under OSC filters
GEO Series GSE200978. Solanum lycopersicum. 31 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome of red oak leaf lettuce grown under OSC filters
GEO Series GSE180179. Lactuca sativa. 32 samples. Type: Expression profiling by high throughput sequencing.
Anopheles gambiae midgut tissue: Oral exposure to Chromobacterium sp. Panama filtered cell-free biofilm supernatant vs. Oral exposure to LB.
GEO Series GSE109727. Anopheles gambiae. 4 samples. Type: Expression profiling by array.
Protective effects of red filtered light during IVF: transcriptomic analysis of murine embryos and embryo-derived EVs
GEO Series GSE266335. Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Toxicity mechanisms of ZnO UV-filters used in sunscreens toward the model cyanobacteria Synechococcus elongatus PCC7942
GEO Series GSE102914. Synechococcus elongatus PCC 7942 = FACHB-805. 16 samples. Type: Expression profiling by array.
Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
<p>The raw data is attached for the paper: </p> <p>Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?</p>
Face detection ensemble with methods using depth information to filter false positives
<p>%files (File.rar):<br> %ColorImageX.jpg is the color image<br> %SegImageX.jpg is the segmentation map <br> %SegImage2_X.jpg is the segmentation map obtained considering only Depth<br> %map</p> <p>%the .mat file<br> %DatasetFaceD{x}{1} depth map<br> %DatasetFaceD{x}{2} eyes coordinates<br> %DatasetFaceD{x}{3} calibration matrix, e.g used in face_dimension.m</p> <p> </p> <p>PS few images (7) used in the paper are no more available</p> <p> </p>
Exploring the photochemistry of an ethyl sinapate dimer: An attempt towards a better ultraviolet filter
<p>The photochemistry and photostability of a potential ultraviolet (UV) radiation filter, dehydrodiethylsinapate, with a broad absorption in the UVA region, is explored utilizing a combination of femtosecond time-resolved spectroscopy and steady-state irradiation studies. The time-resolved measurements show that this UV filter candidate undergoes excited state relaxation after UV absorption on a timescale of ~10 picoseconds, suggesting efficient relaxation. However, steady-state irradiation measurements show degradation under prolonged UV exposure. From a photochemical standpoint, this highlights the importance of considering both the ultrafast and “ultraslow” timescales when designing new potential UV filters.</p>
Reconfigurable radiofrequency filters based on versatile soliton microcombs
<p>New version</p> <p>Available data for "Reconfigurable radiofrequency filters based on versatile soliton microcombs"</p>
JointSearch: Efficient parametric detailing preparation through user-defined and property-based joint type filtering - Additional images
<p>The pdf contains additional images for a journal-publication titled: </p> <p>"JointSearch: Efficient parametric detailing preparation through user-defined and property-based joint type filtering - Additional images"</p> <p><strong>Page1: </strong> I-beam composite. Three different local alignments and three different cross-sections are inputted into the composite. The cross-sections share width and height but are locally aligned to create the I-beam-profile</p> <p><strong>Page2:</strong> Simplified diagram of Reindeer's class structure</p> <p><strong>Page3: </strong>Identification of foundation joints based on two criteria. The different topology of the structures are irrelevant for the result</p> <p><strong>Page4: </strong>Deconstructing the foundation joint for detailing</p> <p><strong>Page5: </strong>How to output interior details that contain 3 or 4 elements. The top left detail shows the default output. The right detail has unified element vectors and clock-wise sorted elements</p> <p><strong>Page6: </strong>The grasshopper-definition shows how purple joint types are identified</p>
Use of GIMP Retinex filter to enhance the visibility of craquelure: example n. 5
<p>In the previously proposed figures (*), the GIMP Retinex filter had been applied to greyscale images, to enhance the visibility of dark craquelure in bright backgrounds. After processing, a black and white map had been obtained, suitable for any possible further processing, even for automatic processing. Craquelure exists also in dark background, but it is more difficult to enhance its visibility. However, also in this case, the GIMP Retinex filter can be suitable for analyses. In the case that the investigated area, where craquelure is present, contains bright and dark scenes, it seems that it is better to use the GIMP Retinex directly on the colour image. Here an example is given using a detail of the Portrait of a Young Girl, by Petrus Christus, (highest resolution), courtesy Wikipedia. In the image, A represents the original image. B is the grey-tone corresponding image. A1 is the image that we can obtain applying GIMP Retinex on A (level=low, scale=250, scale div.=8, dynamics=2,0). A2 is the image A1, after using the GIMP generic Erode filter. A3 is the result of a thresholding of A2. For what concerns the grey-tone image, B1 is the image that we can obtain using GIMP Retinex on B (level=low, scale=250, scale div.=8, dynamics=4,0). B2 is B1 after using Erode filter. B3 is the result of a thresholding of B2. The example shows that a Retinex filtered image can be useful in the investigation of craquelure in dark areas.</p> <p>(*) Figures at http://doi.org/10.5281/zenodo.3956124 http://doi.org/10.5281/zenodo.3956204 http://doi.org/10.5281/zenodo.3957439 http://doi.org/10.5281/zenodo.3957799</p>
Ensemble filtering experiments with HYSPLIT
<p>This dataset contains ensembles of HYSPLIT dispersion model concentration outputs for 14 different case studies. The ensemble members have been filtered using VOLCAT satellite retrievals obtained for the 14 case studies (<a href="http://doi.org/10.5281/zenodo.3579613">http://doi.org/10.5281/zenodo.3579613</a>). </p>
Figure 7 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 7 Diffractogram of graphene oxide.
Figure 8 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 8 Diffractogram of thermally reduced graphene oxide.
Figure 6 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 6 Raman spectrum of thermally reduced graphene oxide.
Figure 3 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 3 FTIR spectrum of graphene oxide.
Figure 5 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 5 Raman spectrum of graphene oxide.
Figure 4 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 4 FTIR spectrogram of thermally reduced graphene oxide.
Figure 2 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 2 UV-Vis absorption spectrum of tetracycline hydrochloride.
Figure 1 from: Dedic M, Gutic S, Gicevic A, Becic E, Imamovic B, Markovic D, Ziga-Smajic N (2020) Application of membrane filters in determination of the adsorption of tetracycline hydrochloride on graphene oxide. Pharmacia 67(4): 339-345. https://doi.org/10.3897/pharmacia.67.e57242
Figure 1 Structure of graphene in the form of a hexagonal lattice (Garg et al. 2016).
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.