iRefWeb is an interface to a relational database containing the latest build of the interaction Reference Index (iRefIndex) which integrates protein interaction data from ten different interaction databases: BioGRID, BIND, CORUM, DIP, HPRD, INTACT, MINT, MPPI, MPACT and OPHID. In addition, iRefWeb associates interactions with the PubMed record from which they are derived.

A full dump of OCTOPUS PostgreSQL database v.2.2 as published upon

• the integration of the 'SahulChar' collection (v.2.2(1)),
• the integration of the 'IPPD' collection (v.2.2(1)),
• major upgrades to the 'CRN INT' and 'CRN AUS' collections (effective v.2.2(3)),
• upgrades to the 'CRN XXL' and 'CRN UOW' collections (effective v.2.2(3)).

Database frontend: https://octopusdata.org/

SPSS files with deidentified and aggregated data to support the research work on the correlation between minimal threshold requirements and performance in tests of competence

A full dump of OCTOPUS PostgreSQL database v.2.1 as published upon

• a sematic database redesign (effective db v.2),
• the creation of a fully relational PostgreSQL database that uses the PostGIS spatial extension (effective db v.2),
• moving the database to GCP (effective db v.2),
• fostered FAIR, OPEN and CARE principles implementation (effective db v.2),
• the introduction of 'SahulSed' replacing 'OSL/TL Australia' (effective v.2(1)),
• the integration of the 'FosSahul' partner collection (effective v.2(1)),
• the integration of the 'ExpAge' partner collection (effective v.2(1)),
• major upgrades to the 'CRN INT' and 'CRN AUS' collections (effective v.2(2)),
• the integration of the 'SahulArch' collection (v.2.1(2)).

Accompanying publication: Codilean, A. T., Munack, H., Saktura, W. M., Cohen, T. J., Jacobs, Z., Ulm, S., Hesse, P. P., Heyman, J., Peters, K. J., Williams, A. N., Saktura, R. B. K., Rui, X., Chishiro-Dennelly, K., and Panta, A.: OCTOPUS database (v.2), Earth Syst. Sci. Data, 14, 3695–3713, https://doi.org/10.5194/essd-14-3695-2022, 2022.

The purpose of this systematic review was to explore the relationship of non-cognitive factors to academic and clinical performance in rehabilitation science programs. A search of 7 databases was conducted using the following eligibility criteria: graduate programs in physical therapy (PT), occupational therapy, speech-language pathology, United States-based programs, measurement of at least 1 non-cognitive factor, measurement of academic and/or clinical performance, and quantitative reporting of results. Articles were screened by title, abstract, and full text, and data were extracted.

SABIO-RK is a relational database system that contains information about biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured. The reaction data set provides information regarding the organism in which a reaction is observed, pathways in which it participates, and links to further information.

This file contains the original data used to run the statistical analysis for the paper "The relationship between transition period diseases and lameness, feeding time, and body condition during the dry period" by Daros et al., 2020 published in the Journal of Dairy Science. Here you will also find the supplementary material for the original publication and the code used to generate the supplementary material. Any issues, do not hesitate in contact. Happy coding!

CSRDB is a bioinformatics resource for cereal crops consisting of large-scale datasets of maize and rice and small RNA sequences. The sequences were generated by 454 Life Science sequencing. The small RNA sequences have been mapped to the rice genome and available maize genome sequence and are presented in two genome browser datasets using the Generic Genome Browser. Potential target sequences representing mature mRNA sequences have been predicted using the FASTH software from the Zuker lab. and access to the resulting small RNA target pair (SRTP) dataset has been made available through a mysql based relational database. Within the genome browser the small RNAs have links to the SRTP database that will return a list of potential targets. The SRTP database may also be searched independently using both small RNA and target transcript queries. Data linking and integration is the main focus of this interface and to this aim links are present in the SRTP results pages back to the browser and the SRTP database as well as external sites.

Data associated with article by Skorska et al. by the same title

CephBase is a dynamic html (dhtml) relational database-driven interactive web site that has been online since 1998. The prototype version of CephBase was developed at Dalhousie Univeristy in Halifax, Canada and was sponsored by the Sloan Foundation following the Workshop on Non-Fish Nekton in Boston, December, 1997. As of 12/2000, CephBase has all the taxa, authorities, and the year the taxa was described online for all of the 703 known living species of cephalopods listed by Sweeney and Roper (1998). CephBase provides taxonomic data, distribution, images, videos, predator and prey data, size, references and scientific contact information for all living species of cephalopods (octopus, squid, cuttlefish and nautilus) in an easy to access, user-friendly manner.

       Information on a particular species can be quickly located by using the search engine; results are listed in table format. Users simply click on a species cephalopod is displayed. Users can also display an alphabetized list of all cephalopod genera. Clicking on a genus leads to a list of all species it contains. For each species, synonymies, type repositories, type localities, references and common names are listed. References are listed in abbreviated form with access to full references. 

       Species Database: 
       Search by scientific, common name or synonym to call up species-specific pages with information such as full taxonomy, type species, names, size, predators, prey, biogeography, distribution maps, country lists, life history, images, videos, references, genetic information links and other internet resources. 

       Image Database: 
       Search our ~1650 cephalopod images which cover all life stages, behaviour, ecology, taxonomy as well as many other aspects of these amazing animals. Each image has a caption, key words, location, photographer and other data. 

       Video Database: 
       There are ~150 video clips in the video database. 

       Reference Database: 
       There are now over 6000 ceph papers in our reference database. 

       Researcher Directory: 
       Looking for a grad school supervisor or cephalopod expert? There are over 400 names in the International Directory of Cephalopod Workers. 

       Predators and Prey: 
       Search by predator, prey or cephalopod species in our predators and prey databases. 

       To answer the question, "Where does it live?", CephBase has 3,175 referenced localities for 328 species served by OBIS.  All latitude and longitude data used to generate maps are from published sources and are listed in tables and referenced. In many cases, the individual specimens used to populate the database can be tracked to a museum repository.

       The purpose of CephBase is to provide taxonomy, life history, distribution, fisheries, and ecology for all living cephalopod species (i.e., octopus, squid, cuttlefish and nautilus). Such a global database will facilitate collaboration both within the cephalopod community and among all marine sciences.

       The data can be accessed through the following web portals (see Related URL field below):
       -OBIS, Ocean Biogeographic Information System, CoML (Census of Marine Life) web portal.
       -EurOBIS, the European Ocean Biogeographique Information System. 
       -SCAR-MarBIN, the Marine Biodiversity Information Network, Scientific Committee on Antarctic Research, International Council for Science.

Additional results on the relationship between the mean absolute cover of the plant species in the grassland sites and the preference of the slug Arion vulgaris, and raw correlations between plant species traits assessed in the greenhouse and field data on plant cover.

The dataset contains physical, biological and chemical oceanographic measurements, and meteorological data. Hydrographic measurements include temperature, salinity, current velocities, attenuance, dissolved oxygen and fluorescence, while water samples were analysed for concentrations of nutrients, pigments, suspended particulates, metals and halocarbons. Samples were also collected for phytoplankton and zooplankton analyses, while results from production experiments are also included in the data set. These oceanographic data are supplemented by surface meteorological measurements. The data were collected at 357 sites in the NE Atlantic, 308 of which are from cruises centering on 20 W, 47 to 60 N, 16 from the Cape Verde Islands and 33 in a coccolithophore bloom just south of Iceland. Measurements were taken from 3 cruises in 1989, 6 cruises in 1990 and 2 cruises in 1991. The data were collected via (i) underway sampling (SeaSoar Undulating Oceanographic Recorder (UOR), hull-mounted acoustic Doppler current profiler (ADCP), meteorology and surface ocean parameters) of which there are 793430 records at 30 second intervals from 11 cruises and (ii) discrete sampling (conductivity-temperature-depth (CTD) and expendable bathythermograph (XBT) casts, bottle stations, net hauls, productivity incubations, stand alone pump (SAP) and sediment trap deployments, cores) of which there are 2215 deployments/experiments. The aim of the Biogeochemical Ocean Flux Study (BOFS) Community Research Project was to study the role of oceans in the global cycling of carbon. The data were collected and supplied by UK participants in the Joint Global Ocean Flux Study (JGOFS). The British Oceanographic Data Centre (BODC) had responsibility for calibrating, processing, quality controlling and documenting the data and assembling the final data set. The underway data are stored as time series for each cruise merged with the navigation data. The data are fully quality controlled. Checks were made for instrument malfunction, fouling, constant values, spikes, spurious values, calibration errors and baseline corrections. The discrete data are stored in a relational database (Oracle RDBMS), mainly as vertical profiles and are uniquely identified by a combination of deployment number and depth.

Sales Intelligence Market size was valued at USD 2.64 Billion in 2024 and is projected to reach USD 5.67 Billion by 2031, growing at a CAGR of 11.10% during the forecast period 2024-2031.

Global Sales Intelligence Market Drivers

Increasing Focus on Data-Driven Decision Making: Organizations in a variety of industries are realizing the value of data-driven decision-making procedures. Sales intelligence solutions help businesses make wise decisions to maximize sales tactics and boost performance by offering insightful data analysis.

Growing Adoption of AI and ML Technologies: The capabilities of sales intelligence platforms have been greatly expanded by developments in artificial intelligence (AI) and ML technologies. Predictive analytics, customer segmentation, and personalized suggestions are made possible by these technologies, which encourage businesses looking to gain a competitive edge to employ sales intelligence solutions.
Growing Competition and the Need for Competitive Insights: Businesses work hard to acquire a better grasp of the tactics, market positioning, and consumer behavior of their rivals in today’s fiercely competitive business environment. By examining industry trends, competitor activity, and consumer preferences, sales intelligence systems offer useful competitive insights that help organizations improve their sales strategies and maintain an advantage over their rivals.

Growing Need for Customer Relationship Management (CRM) Integration: Sales intelligence solutions are growing more and more dependent on integration with CRM systems. Consolidating client information, sales activity, and insights into a single platform through seamless integration streamlines the sales process, fosters better teamwork, and increases overall productivity.

Growing Volume and Variety of Data Sources: Businesses now have access to a vast array of data sources, such as social media, web analytics, and consumer interactions, as a result of the spread of digital channels and the rising amount of data generated. Sales intelligence solutions make use of this abundance of data to offer thorough insights into the behavior, tastes, and purchasing patterns of their customers. This allows businesses to successfully customize their marketing and sales campaigns.

Emphasis on Sales Productivity and Efficiency: By automating tedious tasks, ranking prospects, and giving sales people relevant insights, sales intelligence solutions seek to improve sales productivity and efficiency. The market for sales intelligence solutions that accelerate workflows and provide outcomes is always growing as businesses look for methods to improve their sales operations and maximize return on investment.

The data set comprises hydrographic, biogeochemical and biological data, including measurements of temperature, salinity and attenuance, plus concentrations of parameters such as nutrients, pigments, urea, hydrocarbons, sedimentation flux, sulphur and dissolved carbon. Analyses of bacterial, zooplankton and phytoplankton communities were also undertaken. The oceanographic data were supplemented by measurements of surface meteorological parameters. Data were collected across three repeated sections: one along the Gulf of Oman; a section at 67deg East from 8 to 14.5deg North; and a major section from 8deg North, 67 deg East to the coast of Oman. Other one-off sections were also traversed in the Arabian Sea and Gulf of Oman areas. Measurements were collected during two cruises: one between 27 August and the 4 October 1994 and the other between the 16 November and the 19 December 1994. Sections were covered by underway surface ocean measurements (one minute sampling of multiple parameters providing some 5 million measurements) complemented by a total of 21 CTD/water-bottle stations, 14 of which were repeated. ARABESQUE was organised by the Plymouth Marine Laboratory of NERC's Centre for Coastal and Marine Sciences and involved the University of Wales, Bangor; Queen's University of Belfast; University of East Anglia; University of Edinburgh; University of Newcastle; the Bedford Institute of Oceanography, Canada; the Max Planck Institute for Limnology, Germany and the Sultan Qaboos University, Oman. Data management support for the project was provided by the British Oceanographic Data Centre. All data collected as part of the project were lodged with BODC who had responsibility for assembling, calibrating, quality controlling and fully documenting the data. BODC checked for instrument spikes or malfunction, values beyond the calibration range, unreasonable ratios of chemical constituents and unreasonable deviations from climatological means. Data were assembled into a relational database, complete with supporting documentation and a user manual. The full data set has been published by BODC on CD-ROM complete with user interface.

Abstract copyright UK Data Service and data collection copyright owner.

This is a mixed-methods data collection. The study is part of the Rural Economy and Land Use (RELU) programme.

The Governance of Livestock Disease (GoLD) project ran from November 2007 to November 2010. The overall aim of the project was to develop an interdisciplinary framework to elucidate the governance of livestock diseases (i.e. the reciprocal impacts of dynamic changes to epidemiology, policy, law and economy) in order to better inform stakeholders of the potential impact of different policy and regulatory changes. Two kinds of data (referred to as 'datasets' below, some of which had been collected under earlier grants) were used to complete this work and both are available from the UK Data Archive within this study:

• Dataset 1: questionnaire data were collected from 148 farmers and serum samples were collected from all cattle in a subset of 114 farms. Data collection was funded by the Department for the Environment, Food and Rural Affairs (DEFRA) project SE3026, Bovine TB Transmission in Restocked Herds: Risk Factors and Dynamics, conducted between June 2002 and March 2006. The serum samples were subsequently analysed for antibodies to five endemic diseases in the Biotechnology and Biological Sciences Research Council (BBSRC) project BBS/B/04854 Epidemiology and Transmission Dynamics of Endemic Infectious Disease in the British Cattle Population, conducted between October 2004 and February 2008. The relational database includes both the questionnaire data and the quantitative serological data.
• Dataset 2: within the Economic and Social Research Council (ESRC) RELU funded grant Decision-making Frameworks in Management of Livestock disease: Interaction of Epidemiology, Economics and Politics, which ran from November 2007 to November 2010, the project team conducted semi-structured interviews with 30 farmers concentrating on their attitudes to endemic disease, information sources and relationship with their veterinarian.

The farmer interviews covered: background and details about farm; general cattle disease on the farm; six specific cattle diseases: bovine viral diarrhoea virus (BVD), Infectious Bovine Rhinotracheitis (IBR), bovine tuberculosis (TB), Leptospira, Neospora and Johnes disease; control of disease; cattle in and out of the herd; neighbouring farms; finance, cattle disease governance; whether respondent thinks future disease situation in cattle in the wider industry will get better or worse; other important factors in cattle disease management.

The relational database CSV output table files include results from two questionnaires that covered 148 farms; the first questionnaire has approximately 12 sections, with 10 to 50 quantitative questions per section; the second questionnaire has 2 sections, with a similar number of questions. Serum samples were taken three times from farms; all adult animals (>2yrs old) were sampled. Each sample was tested for five different diseases by ELISA test, and antigen for one infection. The SQL schema files define the database structure. Further information on the database structure and table relationships is included in the database documentation.

Further information for this study may be found through the ESRC Research Catalogue webpage: The Governance of Livestock Disease webpage.

Main Topics:

Governance of cattle and other livestock disease; serology; livestock management.

Article Abstract - The unique macroevolutionary dataset of Aze & others has been transferred onto the TimeScale Creator visualisation platform while, as much as practicable, preserving the original unrevised content of its morphospecies and lineage evolutionary trees. This is a “Corrected Version” (not a revision), which can serve as an on-going historical case example because it is now updatable with future time scales. Both macroevolutionary and biostratigraphic communities are now equipped with an enduring phylogenetic database of Cenozoic macroperforate planktonic foraminiferal morphospecies and lineages for which both graphics and content can be visualised together. Key to maintaining the currency of the trees has been specification of time scales for sources of stratigraphic ranges; these scales then locate the range dates within the calibration series. Some ranges or their sources have undergone mostly minor corrections or amendments. Links between lineage and morphospecies trees have been introduced to improve consistency and transparency in timing within the trees. Also, Aze & others’ dual employment of morphospecies and lineage concepts is further elaborated here, given misunderstandings that have ensued. Features displayed on the trees include options for line styles for additional categories for range extensions or degrees of support for ancestor–descendant proposals; these have been applied to a small number of instances as an encouragement to capture more nuanced data in the future. In addition to labeling of eco- and morpho-groups on both trees, genus labels can be attached to the morphospecies tree to warn of polyphyletic morphogenera, and the lineage codes have been decoded to ease their recognition. However, it is the mouse-over pop-ups that provide the greatest opportunity to embed supporting information in the trees. They include details for stratigraphic ranges and their recalibration steps, positions relative to the standard planktonic-foraminiferal zonation, and applications as datums, as well as mutual listings between morphospecies and lineages which ease the tracing of their interrelated contents. The elaboration of the original dataset has been captured in a relational database, which can be considered a resource in itself, and, through queries and programming, serves to generate the TimeScale Creator datapacks.

The Vector Database Market is projected to grow at 23.7% CAGR, reaching $7.13 Billion by 2029. Where is the industry heading next? Get the sample report now!