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653 results for “rain”
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal
<p>Existing synthetic deraining datasets ignored the photometry property of rain streaks and superimposed 2D rain layer onto clean images without any interactions between rain and environment, making rain streaks unrealistic. The appearance of rain can change drastically with space due to environmental illumination, especially in night scenes where lights are not parallel and uniform. Considering photometry and three dimensional space, rain streaks rendered in GTA V look much more realistic. With proper modifications, it can turn into a good platform for collecting paired data on deraining.</p> <p>GTAV-NightRain dataset is a large-scale photometric realistic dataset for night-time rain streak removal. This dataset contains 12860 rainy images together with 1286 rain-free ground truths collected in GTA V. Two rain shape and different rain density are included.</p> <p>We also provide a small version of the dataset on <a href="https://drive.google.com/drive/folders/1Tsoh_9iCfYc2rtMCHnJACnKW5W_SOheb?usp=sharing">Google Drive</a>. The dataset will be continuously maintained and information of updates will be in informed at <a href="https://github.com/zkawfanx/GTAV-NightRain">Github</a>. Please check it for more information and stay tuned if you are interested in our dataset.</p>
Satellite measurements of rain over Brazil
<p>The video shows near-surface rain rates retrieved from the neural-network-based Hydronn precipitation retrieval. It compares it to Integrated Multi-satellitE Retrievals for GPM (IMERG), a commonly used global precipitation product. Because Hydronn uses observations from the GOES 16 geostationary satellite, it can produce retrievals every ten minutes, whereas IMERG data is only available half-hourly. The advantage of the high spatial and temporal resolution is visible in the results of Hydronn, which provides a much more precise and consistent picture of the organization of precipitation during the day.</p> <p><br> The data shown is from 16 December 2020. A powerful mesoscale convective system develops in the early morning over Paraguay, Argentina, and southern Brazil, and its evolution can be followed throughout the day. An overpass of the GPM dual-frequency precipitation radar from that day is also included in the video to provide a reference.</p>
Fig. 6 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 6. In-life photographs of variations within Bolitoglossa bolanosi sp. nov. (A) Paratopotype male subadult UCR 22966, (B) paratype juvenile UCR 24247, (C) paratype adult female UCR 22421, and (D) paratype adult female UCR 24245. Photographs A and C by Erick Arias, B and D by Omar Zúñiga.
Fig. 5 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 5. Dorsal views of the hand and foot of the holotypes of (A–B) Bolitoglossa bolanosi sp. nov. (UCR 22965) and (C–D) B. pesrubra in preservation. Photograph by Erick Arias.
Fig. 4 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 4. Holotype of Bolitoglossa bolanosi sp. nov. (UCR 22965) in life on a white background. Photograph by Erick Arias.
Fig. 1 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 1. (A) Map showing the known populations of the species within the Bolitoglossa subpalmata species group. (B) Map showing the localities for B. bolanosi sp. nov. and the species close to it in the páramo of the Cordillera de Talamanca. The open shapes indicate the historical data and the solid shapes indicate the localities with molecular data included herein.
Fig. 2 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 2. Bayesian phylogenetic inference shows the relationships of the Bolitoglossa subpalmata species group based on the 16S and cyt b mitochondrial DNA gene fragments. Bootstrap proportions from maximum likelihood are shown above the branches, and numbers below the branches are posterior probabilities (multiplied by 100) from the MrBayes analysis. The scale bar refers to the estimated substitutions per site. The support values of any node within the species are not shown. The asterisks represent support>99. NV = no voucher.
Fig. 3 in A new species of salamander (Caudata: Plethodontidae: Bolitoglossa) from the subalpine rain páramo of the Cordillera de Talamanca, Costa Rica
Fig. 3. Linear discriminant analysis shows the morphological separation between the new species and the two species close to it.
Fig 2 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
Fig 2: Average share of various cost in IMC poly-culture and GIFT mono-sex culture in T1 & T2 (2018-19)
Rain gauge data used in the study "Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations"
<p>The rain gauge data in Peru and Brazil used in the study,</p> <p>Yongjie Huang, Ming Xue, Xiao-Ming Hu, et al. Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multi 5-Year Convection-Permitting Simulations. <em>ESS Open Archive .</em> November 14, 2023.<br><span>DOI: <a href="https://doi.org/10.22541/essoar.170000370.07634797/v1" target="_blank" rel="noopener noreferrer">10.22541/essoar.170000370.07634797/v1</a></span></p> <p><span>The original data source:</span></p> <ul> <li>The rain gauge data in Peru are available at <a href="https://piscoprec.github.io/webPISCO/en/raingauges">https://piscoprec.github.io/webPISCO/en/raingauges</a> (last access: 18 July 2021).</li> <li>The rain gauge data in Brazil are available at <a href="https://bdmep.inmet.gov.br">https://bdmep.inmet.gov.br</a> (last access: 19 January 2023).</li> </ul>
RAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 6. Fibonacci Implementation for the Polynomial X^16+X^12+X^3+X+1
<p>VlăduŃiu and Crişan (1989) show three types of schemes for a 4th degree polynomial. Similar to it, there were developed the three different implementations for the Primitive Polynomial X^16+X^12+X^3+X+1. It can be specified that these schemes are according to the well-known Galois Form, Fibonacci representation and some other Forms that are rarely used, called Ring Implementation. All of these Implementations have the same function, because they describe a linear feedback shift register. In the experimental work there has been analyzed the behavior of 14 Primitive Polynomial degrees, 16 randomly selected. For each of these polynomials there has been developed the simulation of the specific functioning with a program. Because the goal of this experimental work was to compare the different obtained results, a few rows of input data of a different length have been selected</p>
RAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 4. Processes of all experiments:
<p>In this study, accuracy values of each dataset showed the performance of each method. These values represent are the proportion of the total number of predictions that were correctly classified. Initially, we classified training instances into three classes, with approximately 300 images per class. The graphs had been selectively gathered from the Web. We manually normalized the collected images by eliminating unused areas, such as unnecessary text. Moreover, we evaluated the experiments with 10 folds cross-validation because such an approach can mitigate the problem of over-fitting. </p>
Linked collectors and determiners for: Two new species of rain beetle (Coleoptera: Pleocomidae: Pleocoma Le Conte, 1856) in the Pacific Northwest of the United State of America.
Natural history specimen data linked to collectors and determiners held within, "Two new species of rain beetle (Coleoptera: Pleocomidae: Pleocoma Le Conte, 1856) in the Pacific Northwest of the United State of America". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8893798f-110f-432d-a0db-2d3965ca2d6f">https://bionomia.net/dataset/8893798f-110f-432d-a0db-2d3965ca2d6f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8893798f-110f-432d-a0db-2d3965ca2d6f">https://gbif.org/dataset/8893798f-110f-432d-a0db-2d3965ca2d6f</a>. Formatted as a Frictionless Data package.
AAU Visual Rain Dataset (VIRADA)
<p>The AAU VIRADA dataset contains a total of 215 hours of surveillance video from two different locations in Aalborg, Denmark. The purpose of the dataset is to enable the use of surveillance cameras as surrogate rain gauges.</p> <p> </p> <p>The ground truth precipitation data comes from two disparate sources: 1) mechanical, tipping-bucket rain gauges and 2), an advanced laser disdrometer.</p> <p> </p> <p>The footage from the first location, Crossing1, is split into a training (trn) and a validation (val) split. The footage from the second location, Crossing2, is used entirely for testing.</p> <p>More details on the setup is found in the CVPR Workshop paper:</p> <p>Haurum, Joakim Bruslund, Chris Holmberg Bahnsen, and Thomas B. Moeslund. "Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras." <em>2019 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</em>. IEEE, 2019.</p>
Figure 4 in Relative abundance of oribatid mites (Sarcoptiformes: Oribatida) in two tillage systems of irrigated and rain-fed wheat farms of Khodabandeh County, Iran
Figure 4. Means comparison of shannon-wiener index of oribatid mites in four systems (Different letters on the top of the bars indicate significant difference at P <0.05 by Student Newman-Keuls test).
Figure 3 in Relative abundance of oribatid mites (Sarcoptiformes: Oribatida) in two tillage systems of irrigated and rain-fed wheat farms of Khodabandeh County, Iran
Figure 3. Means comparison of diversity of oribatid mites in sampling times (Different letters on the top of the bars indicate significant difference at P <0.05 by Student Newman-Keuls test).
Figure 2 in Relative abundance of oribatid mites (Sarcoptiformes: Oribatida) in two tillage systems of irrigated and rain-fed wheat farms of Khodabandeh County, Iran
Figure 2. Means comparison of species richness of oribatid mites in four systems (Different letters on the top of the bars indicate significant difference at P <0.05 by Student Newman.
Figure 1 in Relative abundance of oribatid mites (Sarcoptiformes: Oribatida) in two tillage systems of irrigated and rain-fed wheat farms of Khodabandeh County, Iran
Figure 1. Means comparison of species richness of oribatid mites in sampling times (Different letters on the top of the bars indicate significant difference at P <0.05 by Student Newman–Keuls test).
Figs. 2–5. Brazilian tropical rain forest. 2 in Classification, Natural History, And Evolution Of The Epiphloeinae (Coleoptera: Cleridae). Part Ii. The Genera Chaetophloeus Opitz And Plocamocera Spinola
Figs. 2–5. Brazilian tropical rain forest. 2. Malaise trap in Rondonia, Wilbur J. Hanson's method of collecting Cleridae, November 1995. 3. The author collecting specimens of Epiphloeinae, environs of Manaus, January 1981. 4, 5. Excellent habitat for collecting Cleridae, environs of Manaus, January 1981.
Fig. 31. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 700 m in A Systematic Review Of Sulawesi Bunomys (Muridae, Murinae) With The Description Of Two New Species
Fig. 31. Tropical lowland evergreen rain forest along the Sungai Sadaunta, 700 m (in 1976). Examples of Bunomys chrysocomus were caught amid the rocks in the foreground, deep within the forest, and occasionally on trunks and branches spanning the stream. Similar dense streamside forest and bridging trunks and limbs from old treefalls characterize much of the habitat along the Sungai Sadaunta where B. chrysocomus as well as B. karokophilus, n. sp., were encountered (see Natural History in account of B. chrysocomus).
ScienceDex guides
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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.