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300 results for “indoor”
Figure 3 from: Visagie CM, Yilmaz N, Renaud JB, Sumarah MW, Hubka V, Frisvad JC, Chen AJ, Meijer M, Seifert KA (2017) A survey of xerophilic Aspergillus from indoor environment, including descriptions of two new section Aspergillus species producing eurotium-like sexual states. MycoKeys 19: 1-30. https://doi.org/10.3897/mycokeys.19.11161
Figure 3 - Base peak chromatograms observed in positive ionization mode. a Aspergillus mallochii (DAOMC 146054 = KAS 7618) b Aspergillus megasporus (DAOMC 250799 = KAS 6176). Both species show some production of echinulin class of alkaloids to varying amounts. Quinolactacin A1, A2 and B were not detected in A. mallochii.
Figure 1 from: Visagie CM, Yilmaz N, Renaud JB, Sumarah MW, Hubka V, Frisvad JC, Chen AJ, Meijer M, Seifert KA (2017) A survey of xerophilic Aspergillus from indoor environment, including descriptions of two new section Aspergillus species producing eurotium-like sexual states. MycoKeys 19: 1-30. https://doi.org/10.3897/mycokeys.19.11161
Figure 1 - One of the most parsimonious trees of Aspergillus sect. Aspergillus based on ITS, CaM, BenA and RPB2. Trees were rooted to A. xerophilus, A. leucocarpus and A. osmophilus. Support in nodes higher than 80% bootstrap values and 0.95 posterior probabilities are shown above thickened branches. New species are shown in bold and colour, while ex-type strains are followed by T.
Fig. 5 in Efficacy of Actellic 300 CS-based indoor residual spraying on key entomological indicators of malaria transmission in Alibori and Donga, two regions of northern Benin
Fig. 5 Dynamics of EIR before and after IRS campaigns in treated and control areas from May 2016 to November 2018
InLUT3D: Indoor Lodz University of Technology Point Cloud Dataset
<h2>Background</h2> <p>This resource contains Indoor Lodz University of Technology Point Cloud Dataset (<strong>InLUT3D</strong>) - a point cloud dataset tailored for real object classification and both semantic and instance segmentation tasks. Comprising of <strong>321</strong> scans, some areas in the dataset are covered by multiple scans. All of them are captured using the Leica BLK360 scanner.</p> <h2>Train/test split</h2> <p>The datset's authors impose the following train-test split:</p> <table> <tbody> <tr> <td><strong>Split</strong></td> <td><strong>Setup range<br></strong></td> </tr> <tr> <td>train</td> <td>from <em>setup_0 </em>to <em>setup_300</em></td> </tr> <tr> <td>test</td> <td>from <em>setup_301 </em>to <em>setup_320</em></td> </tr> </tbody> </table> <p>The corresponding setups' objects are recommended for splits for the classificcation task.</p> <h2>Available categories</h2> <p>The points are divided into <strong>18 </strong>distinct categories outlined in the <em>label.yaml</em> file along with their respective codes and colors. Among categories you will find:</p> <ul> <li>ceiling,</li> <li>floor,</li> <li>wall,</li> <li>stairs,</li> <li>column,</li> <li>chair,</li> <li>sofa,</li> <li>table,</li> <li>storage,</li> <li>door,</li> <li>window,</li> <li>plant,</li> <li>dish,</li> <li>wallmounted,</li> <li>device,</li> <li>radiator,</li> <li>lighting,</li> <li>other.</li> </ul> <h2>Challenges</h2> <p>Several challenges are intrinsic to the presented dataset:</p> <ol> <li>Extremely non-uniform categories distribution across the dataset.</li> <li>Presence of virtual images, particularly in reflective surfaces, and data exterior to windows and doors.</li> <li>Occurrence of missing data due to scanning shadows (certain areas were inaccessible to the scanner's laser beam).</li> <li>High point density throughout the dataset.</li> </ol> <h2>Dataset structure</h2> <p>The structure of the dataset is the following:</p> <p>inlut3d.tar.gz/<br>├─ setup_0/<br>│ ├─ projection.jpg<br>│ ├─ segmentation.jpg<br>│ ├─ setup_0.pts<br>├─ setup_1/<br>│ ├─ projection.jpg<br>│ ├─ segmentation.jpg<br>│ ├─ setup_1.pts<br>...</p> <table> <tbody> <tr> <td><strong>projection.jpg</strong></td> <td>A file containing a spherical projection of a corresponding PTS file.</td> </tr> <tr> <td><strong>segmentation.jpg</strong></td> <td>A file with objects marked with unique colours.</td> </tr> <tr> <td><strong>setup_x.pts</strong></td> <td>A file with point cloud int the textual PTS format.</td> </tr> </tbody> </table> <h2>Point characteristic</h2> <p>Each PTS file contains 8 columns:</p> <table> <tbody> <tr> <td><strong>Column ID</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>1</td> <td>X Cartesian coordinate</td> </tr> <tr> <td>2</td> <td>Y Cartesian coordinate</td> </tr> <tr> <td>3</td> <td>Z Cartesian Coordinate</td> </tr> <tr> <td>4</td> <td>Red colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>5</td> <td>Green colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>6</td> <td>Blue colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>7</td> <td>Category code</td> </tr> <tr> <td>8</td> <td>Instance ID</td> </tr> </tbody> </table> <p> </p>
Dataset for the indoor environment
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The code and dataset for the paper "Hierarchical Clustering for Consistent Inverse Rendering of Indoor Scenes"
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indoor_envmap_ldr
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indoor_envmap_LDR1
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indoor_envmap_hdr
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Effects of Reducing Indoor Air Pollution on the Adult Asthmatic Response
ClinicalTrials.gov study NCT02153359. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Residential Cleaning of Indoor Air to Protect COPD Patients
ClinicalTrials.gov study NCT03750292. IPD Sharing: NO. Countries: 1. Publications: 0.
Survey-Based Study on Recovery Period Differences in Upper Extremity Injuries Among Indoor Climbers by Treatment Method
ClinicalTrials.gov study NCT07278791. IPD Sharing: NO. Countries: 0. Publications: 1.
Evaluation of Vastus Medialis Muscle Inhibition in Indoor Soccer Players with and Without ACL Injury
ClinicalTrials.gov study NCT06599164. IPD Sharing: NO. Countries: 0. Publications: 6.
Enhancing Indoor, Community, and Advanced Wheelchair Skills in Spinal Cord Injury (SCI)
ClinicalTrials.gov study NCT00434018. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study Evaluating the Use of an Indoor Air Quality Monitor to Promote a Smoke-free Home
ClinicalTrials.gov study NCT06693700. IPD Sharing: YES. Countries: 1. Publications: 0.
The Improvement of Indoor Air and Health Effects After Air Purifier Intervention Among Susceptible Population in Industrial Area
ClinicalTrials.gov study NCT07069907. IPD Sharing: NO. Countries: 1. Publications: 0.
Psychophysiological Effects of Green Exercise in Outdoor Green vs. Indoor Control
ClinicalTrials.gov study NCT07379164. IPD Sharing: NO. Countries: 1. Publications: 0.
Innovative installation of soil moisture sensors in an indoor gravel lysimeter
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Data from: Occupant satisfaction with the indoor environment in seven commercial buildings in Singapore
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Toxicological Transcriptome of Human Airway Constructs After Exposure to Indoor Air Particulate Matter: In Search of Relevant Pathways of Moisture Damage -Associated Health Effects
GEO Series GSE175878. Homo sapiens. 260 samples. Type: Expression profiling by high throughput sequencing.
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.