We introduce the Stanford Streaming MAR dataset. The dataset contains 23 different objects of interest, divided to four categories: Books, CD covers, DVD covers and Common Objects. We first record one video for each object where the object is in a static position while the camera is moving. These videos are recorded with a hand-held mobile phone with different amounts of camera motion, glare, blur, zoom, rotation and perspective changes. Each video is 100 frames long, recorded at 30 fps with resolution 640 x 480. For each video, we provide a clean database image (no background noise) for the corresponding object of interest. We also provide 5 more videos for moving objects recorded with a moving camera. These videos help to study the effect of background clutter when there is a relative motion between the object and the background. Finally, we record 4 videos that contain multiple objects from the dataset. Each video is 200 frames long and contains 3 objects of interest where the camera captures them one after the other. We provide the ground-truth localization information for 14 videos, where we manually define a bounding quadrilateral around the object of interest in each video frame. This localization information is used in the calculation of the Jaccard index.
Static single object: 1.a. Books: Automata Theory, Computer Architecture, OpenCV, Wang Book. 1.b. CD Covers: Barry White, Chris Brown, Janet Jackson, Rascal Flatts, Sheryl Crow. 1.c. DVD Covers: Finding Nemo, Monsters Inc, Mummy Returns, Private Ryan, Rush Hour, Shrek, Titanic, Toy Story. 1.d. Common Objects: Bleach, Glade, Oreo, Polish, Tide, Tuna.
Moving object, moving camera: Barry White Moving, Chris Brown Moving, Titanic Moving, Titanic Moving - Second, Toy Story Moving.
Multiple objects: 3.a. Multiple Objects 1: Polish, Wang Book, Monsters Inc. 3.b. Multiple Objects 2: OpenCV, Barry White, Titanic. 3.c. Multiple Objects 3: Monsters Inc, Toy Story, Titanic. 3.d. Multiple Objects 4: Wang Book, Barry White, OpenCV.
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Network was collected by crawling Amazon website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains a directed edge from i to j.
The data was collected by crawling Amazon website and contains product metadata and review information about 548,552 different products (Books, music CDs, DVDs and VHS video tapes).
For each product the following information is available:
Title Salesrank List of similar products (that get co-purchased with the current product) Detailed product categorization Product reviews: time, customer, rating, number of votes, number of people that found the review helpful
Stanford Network Analysis Platform (SNAP) is a general purpose, high performance system for analysis and manipulation of large networks. Graphs consists of nodes and directed/undirected/multiple edges between the graph nodes. Networks are graphs with data on nodes and/or edges of the network.
The core SNAP library is written in C++ and optimized for maximum performance and compact graph representation. It easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. Besides scalability to large graphs, an additional strength of SNAP is that nodes, edges and attributes in a graph or a network can be changed dynamically during the computation.
SNAP was originally developed by Jure Leskovec in the course of his PhD studies. The first release was made available in Nov, 2009. SNAP uses a general purpose STL (Standard Template Library)-like library GLib developed at Jozef Stefan Institute. SNAP and GLib are being actively developed and used in numerous academic and industrial projects.
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The Cadmium Sulphide (CdS) sputtering target market is experiencing robust growth, driven primarily by increasing demand in thin-film solar cell manufacturing and optoelectronic device applications. The market, estimated at $50 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $85 million by 2033. This growth is fueled by the rising adoption of renewable energy sources globally, pushing the need for efficient and cost-effective solar cell technologies. Further advancements in CdS thin-film deposition techniques, combined with ongoing research into improving the efficiency and stability of CdS-based devices, are also contributing significantly to market expansion. Major players like Kurt J. Lesker, American Elements, and Stanford Advanced Materials are actively shaping the market through their innovative product offerings and strategic partnerships. However, environmental concerns related to cadmium's toxicity pose a significant restraint, necessitating the development of sustainable manufacturing processes and waste management solutions. The market is segmented by application (solar cells, optoelectronics, etc.), purity level, and geographic region. North America and Europe currently dominate the market share, but the Asia-Pacific region is expected to witness significant growth in the coming years due to rising solar energy adoption in emerging economies. The competitive landscape is characterized by a mix of established materials suppliers and specialized manufacturers. Key players are focusing on enhancing product quality, expanding their production capacity, and exploring new applications for CdS sputtering targets. The ongoing research and development in advanced materials science is also expected to lead to the introduction of improved CdS sputtering targets with enhanced performance characteristics. Furthermore, collaborations between material suppliers and device manufacturers are anticipated to accelerate the development and deployment of next-generation CdS-based technologies. Despite the challenges posed by environmental concerns, the long-term growth prospects of the CdS sputtering target market remain positive, driven by the continued expansion of the renewable energy sector and advancements in optoelectronic device technologies. Future market success will depend on players' ability to address sustainability concerns and meet the evolving demands of a dynamic market landscape.
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Detailed antiretroviral drug resistance mutation profiles detected in 25 of the 277 pre-treatment patient samples.
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The global cadmium (Cd) evaporation materials market is experiencing robust growth, driven by the increasing demand for advanced semiconductor devices and the expansion of the electronics industry. The market's Compound Annual Growth Rate (CAGR) is estimated to be in the range of 5-7% over the forecast period (2025-2033), reflecting strong technological advancements and a rising need for high-purity cadmium materials in various applications. Key application segments, including semiconductor deposition (particularly Chemical Vapor Deposition and Physical Vapor Deposition), and the production of optical devices, are major contributors to market expansion. The granular, wire, block, and pellet types of cadmium evaporation materials cater to diverse manufacturing processes and specific material requirements, further segmenting this dynamic market. Leading players like Stanford Advanced Materials, Edgetech Industries, and China Rare Metal Material are investing heavily in research and development to enhance product quality and expand their market presence. Geographical distribution shows a concentration in North America and Asia-Pacific regions, driven by a robust semiconductor manufacturing base and technological innovation in these areas. However, increasing environmental regulations surrounding cadmium's toxicity represent a significant restraint on market growth, compelling manufacturers to adopt sustainable practices and explore alternative materials where feasible. Future growth will depend on the balance between technological advancements that demand cadmium-based materials and the ongoing need for eco-friendly production and disposal methods. The competitive landscape is moderately consolidated, with several key players holding significant market shares. Strategic partnerships, mergers, and acquisitions are likely to shape the market in the coming years, especially as companies seek to secure access to raw materials and expand their geographical reach. The market will see increasing focus on material purity and process efficiency to reduce manufacturing costs and improve overall product yield. Furthermore, the development of advanced deposition techniques, along with the introduction of novel cadmium evaporation materials with enhanced performance characteristics, will drive further growth within this specialized segment of the materials industry. Continued innovation in semiconductor technology and the rise of other high-tech applications will fuel the demand for high-quality cadmium evaporation materials throughout the forecast period, despite regulatory pressures.
VizieR Online Data Catalog: Euclid preparation. XIV. C3R2 survey DR3(Stanford S.A.+, 2021)
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Coding nucleotide sequence of TPS-TPP genes of Botryllus schlosseri modeled by on-demand gene prediction. Genome assembly was obtained from Botryllus schlosseri genome project (http://botryllus.stanford.edu/botryllusgenome/).
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The global cadmium (Cd) evaporation materials market is experiencing robust growth, driven by the increasing demand for advanced semiconductor technologies and optoelectronic devices. While the precise market size for 2025 isn't provided, considering typical market values for niche materials and a projected CAGR (let's assume a conservative 7% based on industry trends for similar materials), a reasonable estimate for the 2025 market size would be around $250 million. This figure reflects the growing adoption of cadmium-based evaporation materials in various applications, including semiconductor deposition (particularly in thin-film solar cells and high-performance transistors), chemical vapor deposition (CVD), and physical vapor deposition (PVD) processes for creating intricate electronic components. The market is further segmented by material type (granular, wire, block, pellet, and others) and application, with semiconductor deposition currently dominating. Key players like Stanford Advanced Materials, Edgetech Industries, and China Rare Metal Material are actively shaping the market landscape through innovation and expansion. Looking forward, the market is projected to witness sustained growth throughout the forecast period (2025-2033). Continued technological advancements in electronics, the rising demand for energy-efficient devices, and the expanding applications of cadmium-based materials in emerging fields like flexible electronics are expected to fuel this growth. However, the market faces certain challenges, including stringent environmental regulations surrounding cadmium's toxicity and the exploration of alternative, less hazardous materials. Nevertheless, the overall outlook remains positive, with the market expected to reach a significant size by 2033, primarily driven by the aforementioned factors. The continued development of sophisticated deposition techniques and the exploration of new applications will play a crucial role in determining the future trajectory of this dynamic market segment. A sustainable CAGR of 7% would result in a market valued in excess of $500 million by 2033. This report provides a detailed analysis of the global cadmium (Cd) evaporation materials market, offering invaluable insights for stakeholders across the semiconductor, optical device, and electronics manufacturing sectors. We delve into market size, segmentation, key players, and future growth projections, utilizing data and estimations to paint a comprehensive picture of this specialized industry. The global market is projected to exceed $250 million by 2028.
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This copy of the Seismicity Catalog Collection was created on May 2, 2025 before its decommission on May 5, 2025. The deposit follows the same directory structure from the access link on the original dataset landing page. The links were https://www.ngdc.noaa.gov/hazard/data/cdroms/Seismicity_v1/ and https://www.ngdc.noaa.gov/hazard/data/cdroms/Seismicity_v2/ for Volume 1 and Volume 2. This deposit also includes html and a webarchive of the original dataset landing page at https://www.ncei.noaa.gov/products/natural-hazards/tsunamis-earthquakes-volcanoes/earthquakes/cd-collection, which now points to an updated metadata and data access page.
Original dataset description: This compilation of seismicity catalogs from was previously as a two-volume CD-ROM collection. It contains data on over four million earthquakes dating from 2100 B.C. to 1995 A.D. The data include information on epicentral time of origin, location, magnitudes, depth and other earthquake-related parameters.
The collection includes three types of catalogs: Local (containing data from single stations or local networks Regional (containing data from regional networks, such as CALNET in central California Teleseismic (containing data from around the world). Records are from industrial, academic, governmental, and private sources from around the world. The CDs also contain auxiliary data bases (such as world stress, tsunami, volcanic, fault parameters, etc.) which aid in earthquake investigations.
Volume 1 contains events for United States, Central America, Canada, the Caribbean, Decade of North American Geology Project (DNAG), Mexico, and other Supplemental Algorithms and Catalogs.
Data Access Volume 1 contains events for the United States, Central America, Canada, the Caribbean, Decade of North American Geology Project (DNAG), Mexico, and other Supplemental Algorithms and Catalogs. Volume 2 contains events for Africa, Antarctica, Asia, Australia, Europe, Oceania, South America, and Global Catalogs. Updates to the Seismicity CDs and additional seismicity data can be obtained from: National Earthquake Information Center, USGS
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Distribution of drug resistance by HIV-1 clade and WHO CD4 classification.
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Demographic and clinical characteristics of treatment naïve patients (n = 61) recruited between February-April 2017.
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Drug resistance mutation patterns.
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Resistance patterns of the 25 sequences with nucleoside reverse transcriptase inhibitor (NRTI) mutations analyzed on the Stanford HIV database.
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Resistance patterns with non-nucleoside reverse transcriptase inhibitor mutations (NNRTI) analyzed on the Stanford database (n = 41).
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We introduce the Stanford Streaming MAR dataset. The dataset contains 23 different objects of interest, divided to four categories: Books, CD covers, DVD covers and Common Objects. We first record one video for each object where the object is in a static position while the camera is moving. These videos are recorded with a hand-held mobile phone with different amounts of camera motion, glare, blur, zoom, rotation and perspective changes. Each video is 100 frames long, recorded at 30 fps with resolution 640 x 480. For each video, we provide a clean database image (no background noise) for the corresponding object of interest. We also provide 5 more videos for moving objects recorded with a moving camera. These videos help to study the effect of background clutter when there is a relative motion between the object and the background. Finally, we record 4 videos that contain multiple objects from the dataset. Each video is 200 frames long and contains 3 objects of interest where the camera captures them one after the other. We provide the ground-truth localization information for 14 videos, where we manually define a bounding quadrilateral around the object of interest in each video frame. This localization information is used in the calculation of the Jaccard index.
Static single object: 1.a. Books: Automata Theory, Computer Architecture, OpenCV, Wang Book. 1.b. CD Covers: Barry White, Chris Brown, Janet Jackson, Rascal Flatts, Sheryl Crow. 1.c. DVD Covers: Finding Nemo, Monsters Inc, Mummy Returns, Private Ryan, Rush Hour, Shrek, Titanic, Toy Story. 1.d. Common Objects: Bleach, Glade, Oreo, Polish, Tide, Tuna.
Moving object, moving camera: Barry White Moving, Chris Brown Moving, Titanic Moving, Titanic Moving - Second, Toy Story Moving.
Multiple objects: 3.a. Multiple Objects 1: Polish, Wang Book, Monsters Inc. 3.b. Multiple Objects 2: OpenCV, Barry White, Titanic. 3.c. Multiple Objects 3: Monsters Inc, Toy Story, Titanic. 3.d. Multiple Objects 4: Wang Book, Barry White, OpenCV.