Here are a few use cases for this project:

1. Brand Monitoring: Companies can leverage this model in social media platforms to monitor their brand's reach, including analyzing advertisements effectiveness, spotting unauthorized usage of their branding materials, or tracking competitor's logo exposure.

2. Counterfeit Detection: The model could be integrated into e-commerce platforms to identify counterfeit products by detecting misrepresented logos, helping to maintain brand integrity and consumer trust.

3. Customer Behavior Analysis: Retail businesses might use the model in CCTV footage to understand customer behavior, observing which brand logos frequently attract customers, optimizing product placement, and designing more targeted marketing strategies.

4. Event Sponsorship Measurement: Sponsors of sports or entertainment events can employ this model to evaluate their brand exposure during those events by counting the number of times their logo appears in broadcast footage or photographs.

5. Automated Content Categorization: Media companies could use the model to categorize content based on the detected logos, allowing a faster search and sorting process in their databases.

The Database Automation Market report segments the industry into Component (Solution, Services), Deployment Mode (Cloud, On-Premises), Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises), End-User Industry (Banking, Financial Services And Insurance (BFSI), IT And Telecom, E-Commerce And Retail, Manufacturing, Government And Defense, and more.), and Geography.

Dataset

This dataset was created by Jacek Pardyak

Released under Database: Open Database, Contents: Database Contents

Contents

Dataset of the type entry from the database SUPERFAMILY - version 1.75

Cite the source of the dataset as:

List, Johann-Mattis, Thomas Mayer, Anselm Terhalle, and Matthias Urban (2014). CLICS: Database of Cross-Linguistic Colexifications. Marburg: Forschungszentrum Deutscher Sprachatlas (Version 1.0).

Data item of the type homologous_superfamily from the database cathgene3d with accession G3DSA:1.10.10.1060 and name Catalase HPII, helical domain

Comprehensive dataset of global anti-doping sanctions from 1968 to present, including athlete sanctions, substances involved, countries, and sports disciplines.

Data item of the type homologous_superfamily from the database cathgene3d with accession G3DSA:1.10.10.1120 and name Lysin B, C-terminal linker domain

The Cloud Database and DBaaS Market Report Segments the Industry Into by Component (Solution, and Services), Database Type (Relational (RDBMS), and NoSQL), Deployment (Public, Private, and Hybrid), Enterprise Size (SMEs, and Large Enterprises), End-User (BFSI, IT and Telecom, Retail, Retail and E-Commerce, Healthcare and Life-Sciences, Government and Public Sector, Manufacturing, and More), and Geography.

Dataset

This dataset was created by Amir Sanjani

Released under Database: Open Database, Contents: Database Contents

Contents

Searchable database of keyword occurrences in the Husserliana series

Synoptic charts from the Met Office's Cyclone Database, constructed from output stored in the database covering 2000-2005. The database holds lists of cyclones, their types and structural information about each cyclone and associated features as derived from analysis of the UK Met Office Unified Model. Database raw data available in its own dataset within this collection.

SFLD (Structure-Function Linkage Database) is a hierarchical classification of enzymes that relates specific sequence-structure features to specific chemical capabilities.

The Database Market is Segmented by Database Type (Relational (RDBMS), Nosql, and More), Deployment (Cloud, On-Premsies), Service Model (Database-As-A-Service (DBaaS), License and Maintenance Software), Enterprise (SMEs, Large Enterprises), Workload Type (Transactional (OLTP), Analytical (OLAP), and More), End-User Vertical (BFSI, Retail, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Data item of the type family from the database hamap with accession MF_00006 and name Argininosuccinate lyase [argH]

Database that hosts experimental data from universal protein binding microarray (PBM) experiments (Berger et al., 2006) and their accompanying statistical analyses from prokaryotic and eukaryotic organisms, malarial parasites, yeast, worms, mouse, and human. It provides a centralized resource for accessing comprehensive data on the preferences of proteins for all possible sequence variants ("words") of length k ("k-mers"), as well as position weight matrix (PWM) and graphical sequence logo representations of the k-mer data. The database's web tools include a text-based search, a function for assessing motif similarity between user-entered data and database PWMs, and a function for locating putative binding sites along user-entered nucleotide sequences.

PHYLACINE_1.2_MetadataThis text contains the metadata describing the purpose, construction, and data of PHYLACINE Version 1.2.0. Definitions for all the variables and values found in the constituent data of PHYLACINE are located here. Please read this metadata file carefully and in its entirety before attempting any analyses.Trait_dataThis spreadsheet contains trait data for all 5831 species of mammals that lived during the last ~130,000 years including both extant and extinct species. This data includes body mass, island endemicity, threat status, and rough measures of life habit and diet.Synonymy_table_valid_species_onlyThis spreadsheet contains synonymies between the species used in PHYLACINE Version 1.2.0, previous versions of this database, and other popular databases like EltonTraits and IUCN. It also contains information on the phylogenetic placement of species in PHYLACINE. Only the 5831 species considered valid in PHYLACINE Version 1.2.0 are included.Synonymy_table_with_unaccepted_speciesThis spreadsheet contains synonymies between the species used in PHYLACINE Version 1.2.0, previous versions of this database, and other popular databases like EltonTraits and IUCN. It also contains information on the phylogenetic placement of species in PHYLACINE. Unlike Synonymy_table_valid_species_only, this spreadsheet also contains species that were not accepted in PHYLACINE Version 1.2.0 but are accepted in other databases like EltonTraits and IUCN.Complete_phylogenyThis nexus file contains the dated phylogeny of all 5831 mammal species that lived during the last ~130,000 years including both extant and extinct species. 1000 individual trees are included in the phylogeny to capture uncertainties in branching times and topology.Small_phylogenyThis nexus file contains the dated phylogeny of 4253 mammal species that lived during the last ~130,000 years including both extant and extinct species. Unlike the Complete_phylogeny, this phylogeny only includes the 4253 mammal species that could be placed phylogenetically through genetic data or unambiguous taxonomic constraints. 1000 individual trees are included in the phylogeny to capture uncertainties in branching times and topology.CurrentThis file contains rasters of the current geographic ranges for all 5831 mammal species that lived during the last ~130,000 years including both extant and extinct species.Present_naturalThis file contains rasters of the present natural geographic ranges for all 5831 mammal species that lived during the last ~130,000 years including both extant and extinct species. Present natural ranges represent counterfactual scenarios showing where species would live today without strong anthropogenic impacts on their ranges. We stress that the present natural ranges for extinct species are not the fossil ranges where species occurred in the Pleistocene but rather where the species would be expected to occur now given today's climate.Spatial_metadataThis spreadsheet contains metadata describing the creation of range maps for all 5831 mammal species that lived during the last ~130,000 years including both extant and extinct species.PHYLACINE_logo_largeThis is a color logo of the PHYLACINE database for use in presentations.PHYLACINE_logo_large_bwThis is a black and white logo of the PHYLACINE database for use in presentations. Data needed for macroecological analyses are difficult to compile and often hidden away in supplementary material under non-standardized formats. Phylogenies, range data, and trait data often use conflicting taxonomies and require ad hoc decisions to synonymize species or fill in large amounts of missing data. Furthermore, most available data sets ignore the large impact that humans have had on species ranges and diversity. Ignoring these impacts can lead to drastic differences in diversity patterns and estimates of the strength of biological rules. To help overcome these issues, we assembled PHYLACINE, The Phylogenetic Atlas of Mammal Macroecology. This taxonomically integrated platform contains phylogenies, range maps, trait data, and threat status for all 5,831 known mammal species that lived since the last interglacial (~130,000 years ago until present). PHYLACINE is ready to use directly, as all taxonomy and metadata are consistent across the different types of data, and files are provided in easy-to-use formats. The atlas includes both maps of current species ranges and present natural ranges, which represent estimates of where species would live without anthropogenic pressures. Trait data include body mass and coarse measures of life habit and diet. Data gaps have been minimized through extensive literature searches and clearly labelled imputation of missing values. The PHYLACINE database will be archived here as well as hosted online so that users may easily contribute updates and corrections to continually improve the data. This database will b...

Here are a few use cases for this project:

1. Brand Monitoring: The Fscam V2 model could be used to track and analyze brand presence on social media platforms or in user-generated content by identifying instances of the brand's logo.

2. Counterfeit Product Detection: By recognizing and identifying logos of well-known brands, Fscam V2 can help in detecting and flagging potential counterfeit products for e-commerce platforms and online marketplaces.

3. Digital Asset Management: Fscam V2 can be employed in digital asset management systems to automatically tag and index images containing specific logos, helping users to more easily organize, search, and locate relevant visual assets in large image databases.

4. Augmented Reality (AR) Advertising: Fscam V2 can be integrated into AR applications to recognize company logos in real-time, allowing interactive and personalized advertising, sponsored content, or additional information to be displayed to users when pointing their devices at identified logos.

5. Content Curation and Recommendation: By identifying logo classes in images, Fscam V2 can be used to enhance content curation and recommendation engines by prioritizing and recommending content that features specific brand logos or interests, making the user experience more tailored and engaging.

Data from the Met Office Hadley Centre (MOHC) Earth System model HadGEM3-ES, part of the International Global Atmospheric Chemistry (IGAC)/ Stratosphere-troposphere Processes and their Role in Climate (SPARC) Chemistry-Climate Model Initiative phase 1 (CCMI-1).

CCMI-1 is a global chemistry climate model intercomparison project, coordinated by the University of Reading on behalf of the World Climate Research Program (WCRP).

The dataset includes data for the following CCMI-1 reference experiments: ref-C1 and ref-C2.

ref-C1: Using state-of-knowledge historic forcings and observed sea surface conditions, the models simulate the recent past (1960–2010). ref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.

The ESA Fire Disturbance Climate Change Initiative (Fire_cci) project has produced maps of global burned area developed from satellite observations. The Small Fire Database (SFD) pixel products have been obtained by combining spectral information from Sentinel-2 MSI data and thermal information from VIIRS VNP14IMGML active fire products.

This gridded dataset has been derived from the Small Fire Database (SFD) Burned Area pixel product for Sub-Saharan Africa, v2.0 (also available), which covers Sub-Saharan Africa for the year 2019, by summarising its burned area information into a regular grid covering the Earth at 0.05 x 0.05 degrees resolution and at monthly temporal resolution.