This work aimed to transform raw data in high quality and well organized data for research studies addressing genetics and neurodevelopmental disorders. Information and relations between patients, cnvs, genes, GO terms, and diagnoses where passed through a very demanding quality check analysis before being inserted in the relational database in order to eliminate redundancies and enhance uniformity whenever possible. By using this data, researchers can start their work one step further by querying and identifying data suitable for analysis rather than spent time in tasks related to data cleaning and data pre-processing.

3 code files written in sql, java and xquery performing six queries on mysql, mongodb and eXist databases respectively described in the paper entitled "Examining database persistence of ISO/EN 13606 standardized Electronic Health Record extracts: relational vs. noSQL approaches"

Background Establishing and maintaining relationships and ways of connecting and being with others is an important component of health and wellbeing. Harnessing the relational within caring, supportive, educational, or carceral settings as a systems response has been referred to as relational practice. Practitioners, people with lived experience, academics and policy makers, do not yet share a well-defined common understanding of relational practice. Consequently, there is potential for interdisciplinary and interagency miscommunication, as well as the risk of policy and practice being increasingly disconnected. Comprehensive reviews are needed to support the development of a coherent shared understanding of relational practice. MethodThis study uses a scoping review design providing a scope and synthesis of extant literature relating to relational practice focussing on organisational and systemic practice. The review aimed to map how relational practice is used, defined and understood across health, criminal justice, education and social work, noting any impacts and benefits reported. Searches were conducted on 8 bibliographic databases on 27 October 2021. English language articles were included that involve/discuss practice and/or intervention/s that prioritise interpersonal relationships in service provision, in both external (organisational contexts) and internal (how this is received by workers and service users) aspects. Results A total of 8010 relevant articles were identified, of which 158 met the eligibility criteria and were included in the synthesis. Most were opinion-based or theoretical argument papers (n = 61, 38.60%), with 6 (3.80%) critical or narrative reviews. A further 27 (17.09%) were categorised as case studies, focussing on explaining relational practice being used in an organisation or a specific intervention and its components, rather than conducting an evaluation or examination of the effectiveness of the service, with only 11 including any empirical data. Of the included empirical studies, 45 were qualitative, 6 were quantitative, and 9 mixed methods studies. There were differences in the use of terminology and definitions of relational practice within and across sectors. Conclusion Although there may be implicit knowledge of what relational practice is the research field lacks coherent and comprehensive models. Despite definitional ambiguities, a number of benefits are attributed to relational practices. Systematic review registration PROSPERO CRD42021295958

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/

The Data Management System (DBMS) market is experiencing robust growth, driven by the increasing volume and velocity of data generated across various sectors. The market, estimated at $50 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 12% through 2033. This expansion is fueled by several key factors. The digital transformation sweeping industries like Banking & Finance, Healthcare, and Telecom & IT necessitates sophisticated DBMS solutions for efficient data storage, processing, and analysis. The rising adoption of cloud-based DBMS, offering scalability and cost-effectiveness, further accelerates market growth. Furthermore, the increasing demand for real-time analytics and advanced data security features are pushing the adoption of advanced relational and non-relational database systems. While competitive pressures and the complexity of integrating new systems can pose challenges, the overall market trajectory remains positive. Segment-wise, the Banking & Finance and Healthcare & Life Sciences sectors are leading the adoption of DBMS, driven by stringent regulatory compliance needs and the crucial role of data in decision-making. The shift towards big data analytics and the growing use of artificial intelligence (AI) and machine learning (ML) in data-driven insights are also key factors. Geographically, North America currently holds a significant market share, followed by Europe and Asia Pacific. However, emerging economies in Asia Pacific are demonstrating significant growth potential, driven by increasing digitalization and expanding IT infrastructure. The diverse range of DBMS types, including relational and NoSQL databases, caters to specific industry needs and data structures. This diversity is fueling competition among major players like Oracle, IBM, Microsoft, MongoDB, and others, fostering innovation and driving down costs for consumers.

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.

Global Vector Database market size is expected to reach $7.04 billion by 2029 at 23.5%, segmented as by relational vector databases, traditional relational databases with vector support, enhanced query capabilities

The relationship between aggression and mate choice in mating systems is critical for understanding the evolution and diversification of sexual organisms, and yet remains the subject of vigorous debate. A key challenge is that traditional correlational approaches cannot distinguish underlying mechanisms of social interaction and can indicate misleading positive associations between aggression and mating events. We implement a novel Relational Event Model (REM) incorporating temporal dependencies of events in a social network to study natural reproductive behavior in a lek-breeding system where males gather to display and females visit to evaluate mates, often observing both male courtship displays and fights. We find that fighting is not attractive to females. Indeed, males are less likely to start and more likely to leave fights with females present, plausibly to avoid entanglement in protracted combat cycles arising from emergent social processes that reduce availability to mate. However, fighting serves other roles, e.g., to deter copulation interruptions and rebuff competitors. Our findings support the hypothesis that social systems regulating conflict and promoting females’ choice based on display are fundamental to stable lek evolution. Moreover, our analysis highlights the utility of the REM framework in testing mechanistic hypotheses in behavioral ecology and evolution.

Timescale Creator–database customization

Features provided by Timescale Creator enhance the information which can be gleaned from the 2011 trees. These features can be provided either from functions already built into Timescale Creator, or via “in-house” programming within the database which has exploited the built-in functions to provide data and information on key issues of interest to the case study. It is this flexibility provided by the combination of Timescale Creator functions and datapacks programmed from the back-end relational database which is showcased below.

Groups

Colours were used in the original 2011 trees [1, Appendices 2, 3 ], and now in the Timescale Creator trees, to display eco- and morpho-groups (respectively). The Timescale Creator trees also add coloured group labels (rather than colouring the range labels as in the original trees), and this allows identification of groups without recourse to the legend. These group labels are positioned on ancestor–descendant branches, but have here been programmed to display only when the group membership changes from ancestor to descendant. As a result, they have the added advantage of highlighting origins and reappearances of the selected groups or properties in a phylogenetic context. A handy use of this feature is when, for example, this is programmed to apply to the generic assignment of morphospecies, making polyphyletic morphogenera, intentioned or otherwise, easy to spot.

Lineage labels

To label range lines on the lineage tree, the Timescale Creator version has been programmed to augment each lineage code with its list of contained morphospecies, e.g., the listing appended to Lineage N1-N3 is “H. holmdelensis > G. archeocompressa > G. planocompressa > G. compressa“. The morphospecies series in these listings is ordered by lowest occurrence, and so the >’s denote stratigraphic succession. (The >’s do not necessarily represent ancestor–descendant relationships; of course only a single line of descent could be expressed in such a format.) This allows the lineage and its proposed morphological succession to be grasped much more easily, including a ready comparison with the morphospecies tree.

Pop-ups

Pop-ups provide the most ample opportunity within Timescale Creator to provide access to supporting information for trees. Because pop-up windows are flexibly resizable and are coded in html, textual content has in effect few quota limitations and, in fact, can be employed to view external sources such as Internet sites and image files without the need to store them in the pop-up itself. They can also be programmed to follow a format tailored for the subject matter, as is done here.

Pop-ups for the morphospecies tree display the contents of the 2011 paper’s summary table [1, Appendix S1, Table S3], including decoding of eco- and morpho-group numbers, range statistics from the Neptune portal, and tailoring the reference list to each morphospecies. They also incorporate the ancestor [from 1, Appendix S5, worksheet aM], specify the type of cladogenetic event (all are, in fact, budding for this budding/bifurcating topology [2]), and level of support for the ancestor–descendant proposal (see § Branches). Lineages containing the morphospecies are listed, along with their morphospecies content and age range (for details, see § Linkages between morphospecies and lineage trees [3]). Also included are the binomen’s original assignation and, where available, links to portals, Chronos [4][5-7] and the World Register of Marine Species (WoRMS) [8].

Range lines

Range-line styles have been used for the Timescale Creator version of the 2011 trees to depict four levels of confidence for ranges. Apart from accepted ranges (lines of usual thickness), two less-confident records of stratigraphic occurrence are depicted: “questioned” (thin line) and “questioned-and-rare” (broken line). For extensions to ranges that are not based on stratigraphic occurrences but are hypothesized (for various reasons), a “conjectured” range is separately recognised (dotted line) to ensure that stratigraphic and hypothesized categories are not conflated. There is an option to attach age labels (in Ma) to range lines, providing the chart with an explicit deep-time positioning throughout.

Branches

Similarly to ranges, branch-line styles have been used to depict three levels of stratophenetic support for ancestry. Almost all ancestor–descendant proposals for the 2011 study are presumed to be “Well Supported” (correspondence between detailed stratigraphic sequences and plausible phyletic series; drawn as a broken line). A small number have been categorised as less or better supported than the usual: “Not Well Supported” (only broad correspondence between stratigraphic order and suggestive phyletic series; drawn as a dotted line); or “Strongly Supported” (detailed morphometric–stratigraphic sequences from ancestor to descendant; continuous line).

Linkages between morphospecies and lineage trees

Many range points of the lineages of the 2011 study are herein directly linked to those of included morphospecies: not quite half of start dates and almost all of end dates. Brief details of this linkage are displayed in the “Stratigraphic Range (continued)” section of the pop-up, where the linkage will usually result in the same precalibrated Ma value between lineage and morphospecies range points, but these values will differ where there has been a correction or amendment of the original Ma value. The reason for choosing the morphospecies range point is usually briefly indicated. Where the original Ma value of the lineage range point is retained and not directly linked to a morphospecies point, the morphospecies and its time scale that are employed nonetheless for calibration are indicated.

Pop-ups are also employed to more easily appreciate the linkages between morphospecies and lineages, following from the morphospecies content of lineages. These are displayed both in terms of the lineages in which a morphospecies occurs and in terms of the morphospecies included in a lineage, along with other information to help track these interrelationships.

1. Aze T, Ezard TH, Purvis A, Coxall HK, Stewart DR, Wade BS, et al. A phylogeny of Cenozoic macroperforate planktonic foraminifera from fossil data. Biological Reviews of the Cambridge Philosophical Society. 2011;86(4):900-27. doi: 10.1111/j.1469-185X.2011.00178.x.
2. see § Data, topologies, and taxa of the 2011 study’s trees: Tree topologies, above
3. a morphospecies contained in more than one lineage is depicted in Figure 20a
4. Support for on-going activity on the foraminiferal section of Chronos [116] no longer appears viable; other portals may need to be linked in later versions e.g., pforams@mikrotax [117, 118]
5. Huber BT. Foraminiferal databases (Mesozoic Paleocene, Eocene Planktonic Foraminifera Taxonomic databases), Chronos Portal Washington (DC, USA): Consortium for Ocean Leadership for the Chronos Internal Coordinating Committee (Iowa State University and the National Science Foundation). Available from: http://portal.chronos.org/gridsphere/gridsphere?cid=foram_working_group (not updated in recent years).
6. Young J, Huber BT, Bown P, Wade BS. pforams@mikrotax (UK Natural Environment Research Council), within mikrotax.org London: University College London. Available from: http://www.mikrotax.org/pforams/index.html.
7. Huber BT, Petrizzo MR, Young JR, Falzoni F, Gilardoni SE, Bown PR, et al. Pforams@microtax: a new online taxonomic database for planktonic foraminifera. Micropaleontology. 2017;62(6):429-38.
8. Hayward BW, Le Coze F, Gross O. World Foraminifera Database, World Register of Marine Species (WoRMS) Vlaams Instituut voor de Zee (Flanders Marine Institute), Oostende (Belgium): WoRMS Editorial Board; 2018 [2018-01-09]. Available from: http://www.marinespecies.org/foraminifera, http://www.marinespecies.org doi:10.14284/170

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.

Summary of relational tables in the TSCEvolTree_Aze&2011_CorrJul2018 database

MorphospeciesAze_TableS3

Details for the 339 morphospecies of the Aze & others paper [1], augmented from [1, Appendix S1, Table S3 and Appendix S5, worksheet aM]. The main focus is on clarifying the choice of stratigraphic ranges and ancestry, and incorporating post-publication corrections by the authors of Aze & others or selective corrections/amendments during conversion to TimeScale Creator.

Stratigraphic ranges are given in Ma values; the time scales of the sources for the Ma values are made explicit (via links to table, MorphospeciesAze_TableS3DateRef). Almost all ranges are simple, as per those provided by the 2011 paper, delineated by lowest (start date) and highest occurrence (end date). However, a small number of ranges more closely represent those given by the nominated sources by also including range extensions: “questioned” or “questioned (rare)” for less confident stratigraphic occurrences; and “conjectured”, where a range extension is hypothesized, usually to support an ancestry proposal lacking contiguous stratigraphic occurrences. A proportion (~15 %) of Ma values are corrected where minor differences in Ma values were found between the 2011 paper and the nominated source; however, a systematic check was not conducted across the dataset. A further proportion (~15 %) of Ma values are amended where alternative sources appear to better represent the intention of the 2011 paper; these include a few instances where there would be a conflict with the index (marker) datum sequence of the Wade & others [2] zonation. Corrections to Ma values are accompanied by brief explanatory comments. Minor changes to Ma values were also made by one of us (TA) for a proportion (~17 %) of entries; most of these corresponded to the already invoked corrections or amendments.

Entries for ancestors follow the 2011 paper, with two exceptions in which adjustments to Ma values have removed the overlap in range between ancestor and descendant: a correction made by Tracy Aze (for Pulleniatina finalis, P. obliquiloculata replaced P. spectabilis); and an amendment (for Paragloborotalia pseudokugleri, Dentoglobigerina galavisi is amended to D. globularis). Levels of evidential support for the ancestor–descendant proposals were not critically appraised as part of the TimeScale Creator conversion. However, column [PhylogenyMethod] was employed to distinguish a small number of proposals which were distinctly less (“not well”) or better (“strongly”) supported than the typical “well supported” proposals presumed for this group.

All other information given in [1, Table S3] was incorporated, including indications of morphology, ecology, geography, and analyses made using the Neptune database. This information from Table S3 also included the lists of segments from both morphospecies (ID) and lineage (LID) trees within which each morphospecies occurred; in terms of relational logic, these could be supplanted by a single entry, the code for the lineage containing the highest occurrence of the morphospecies, and this was added manually for the TimeScale Creator conversion.

BiospeciesAze_aL

Details for the 210 lineages of the 2011 paper, augmented from [1, Appendix S5, worksheet aL]. The main focus is to maximize and maintain consistency and transparency between morphospecies and lineages for Ma values of their stratigraphic ranges. This is achieved for the TimeScale Creator conversion by nominating a morphospecies whose Ma value (start or end date) potentially defines the date (start or end) for a lineage; each morphospecies chosen for this is based on the apparent link between morphospecies and lineage dates used in the 2011 paper; this morphospecies is given by column [StartDateOrigLinkMph]. For start dates, ~40 % of lineages could be linked in this way; for end dates, almost all (93 %) were. Where a lineage range point of the 2011 study did not correspond to a morphospecies range point, then this morphospecies is at least used to provide the time scale applied to the date for the lineage.

Entries for ancestral lineages follow the 2011 paper, with two exceptions necessitated by changes in Ma values which place the ancestral lineage outside the date of origin of the descendant lineage: N150-N151-T153, involving the origin of morphospecies Paragloborotalia pseudokugleri; and N52-N54-T53, involving the origin of morphospecies Hirsutella cibaoensis. Levels of evidential support for the ancestor–descendant proposals were not critically appraised as part of the TimeScale Creator conversion. However, column [PhylogenyMethod] was employed to distinguish two proposals that were distinctly less (“not well”) or better (“strongly”) supported than the typical “well supported” proposals presumed for this group. The assignment of branching type as bifurcating or budding in the 2011 paper is incorporated.

Ecogroup and morphogroup allocations follow the 2011 paper (these data were not provided with the 2011 paper, but were indicated by colours employed in [1, Appendices S2, S3]; some colours for lineage morphogroups needed to be corrected; the ecogroup and morphogroup data for lineages were provided for the TimeScale Creator conversion by one of us [TA]). Some minor exceptions to these ecogroup and morphogroups were invoked for the TimeScale Creator conversion, in order to better match those of the contained morphospecies.

MorphospeciesAze_TableS1_Morphogroup

Details for morphogroups used for morphospecies and lineages; as for [1, Appendix 1, Table S1, "Morphogroup"], with explicit colour codes.

MorphospeciesAze_TableS1_Ecogroup

Details for ecogroups used for morphospecies and lineages; as for [1, Appendix 1, Table S1, "Ecogroup"], with explicit colour codes.

MorphospeciesAze_TableS3_EcogroupReference

Sources for ecogroups assigned to morphospecies; as for "Ecogroup reference", taken from [1, Appendix 1, Table S3]; multiple references in the original entries are accorded a row each.

MorphospeciesAze_TableS3_AppendixS1C_References

References for [1, Appendix 1, Table S3 ].

MorphospeciesAze_TableS3DateRef

Sources, and their time-scales, used for Ma values (sources from [1, Appendix 1, Table S3, "Date reference"] "Date reference", Table S3, Appendix 1 of the 2011 paper). The key purpose is to make explicit the time scale against which the source has (apparently) provided the Ma value, essential in order to appropriately recalibrate to the current GTS time scale and also to maintain the capability to recalibrate to future time scales. An important example of this need is where dates from the Paleocene Atlas [3] have here been remeasured directly from the Atlas and so are against the time scale of Berggren & others [4], rather than calibrated to Wade & others [2] as in the 2011 study.

In the interests of transparency and to provide a pointer to recalibration steps needed, a further level of specificity is needed for those sources which imply more than one time scale for Ma values used. For the TimeScale Creator conversion, references to these sources also have the time scale specified. Examples include chapters from the Eocene Atlas [5]. For instance, in order for the TimeScale Creator conversion to record the questionable parts of the stratigraphic ranges given for some Clavigerinella morphospecies by Coxall & Pearson [6], additional start dates for these morphospecies have been measured directly from their Figure 8.1, drawn against the scale of Berggren & Pearson [7]. However, these dates need to be integrated with the Ma values from Coxall & Pearson already used in the 2011 paper, which were presented recalibrated by them to the scale of Wade & others. These two sets of sources are given as, respectively, “Coxall & Pearson (2006: BP05)” (against Berggren & Pearson) and “Coxall & Pearson (2006)” (against the time-scale option of Wade & others which was calibrated to Cande & Kent [8]). Analogous examples came from sources such as Berggren & others, which include some dates for which the usual recalibration is not applicable (reasons are specific to each instance and are indicated in comments fields in table, MorphospeciesAze_TableS3; Appendix S1b includes descriptions of these fields in worksheet, DesignMorphospeciesAze_TableS3, and corresponding data in worksheet, MorphospeciesAze_TableS3).

MorphospeciesAze_TableS3DateRef_DateScale

This simply gives full names for the four time scales requiring recalibration: BKSA95: Berggren & others, 1995 [4] BP05: Berggren & Pearson, 2005 [7] WPBP11(CK95): Wade & others, 2011 [2]; calibrated to Cande & Kent, 1995 [8] WPBP11(GTS04): Wade & others, 2011 [2]; calibrated to Gradstein & others, 2004 (GTS2004) [9].

Wade & others, 2011 Datum

Details for datums relative to zonations, compiled from [2, Tables 1, 3, 4 ].

Zonal (marker) datums are indicated, but other datums are also included, almost all of which provide intrazonal intervals employed for calibration between time scales. Datums specific to the BKSA95 zonation are separately tabulated from those of BP05, allowing calibration between zonations BKSA95, BP05, WPBP11(CK95), and WPBP11(GTS04) (see MorphospeciesAze_TableS3DateRef_DateScale, above). The WPBP11(GTS04) zonation corresponds to GTS2004 and so allows calibration to later GTS time scales (GTS2012, GTS2016).

Additional columns provide brief indications of adjustments needed for calibration, including a small number of alternative datums resulting from revised definitions of zonations. Nomenclatural links are provided for datum-naming taxa.

Global tables:

SpeciesGroupName GenusGroupName ChronosPortal ColoursClofordWebSafeByHue

augmented from TimeScale Creator spreadsheet data:

TimeUnit_ReferenceUnit TimeUnit TSCPlanktonicForaminifersDatum TSCPlanktonicForaminifersDatumMorphospecies

Datapack

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.

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.

This data set was centralized for the Marine Gap Analysis Project of the Hawaii Natural Heritage Program. It was obtained from various principle investigators for a multitude of projects. It includes surveys from 183 locations on the eight main Hawaiian Islands. The data were placed in a relational database.

Social Network Science (SNS) is the field concerned with studying social systems in a relational way from the perspectives of the social and natural sciences. This data set consists of 25,760 biographical records retrieved from the Web of Science, ranging from 1916 to 2012. Each publication belongs to one of five subfields. To facilitate analyses of the social aspect of SNS, the names of 45,580 distinct authors are provided, linked to the papers in 68,227 publication-author relations. Author names have been disambiguated semi-automatically. To enable analyses of the cultural aspect of SNS, 23,026 distinct linguistic concepts are provided. These concepts resemble words or word combinations extracted from titles (for all publication years) and from abstracts and author keywords (only for publications published in, or after, 1990). They are linked to the papers in 201,608 publication-concept relations.

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.

The Global Database Management System market was valued at USD 101.24 billion in 2023 and is expected to reach USD 213.92 billion by 2029 with a CAGR of 13.28% through 2029.

Over 20 years, research was conducted at Boston College with the goal of exploring how couples adapt in relationships that last. In-depth interviews were used to explore how partners deal and cope with various aspects of their relationships over the years. Beginning in the early 1990's, the research focused on a diverse sample of heterosexual couples that had been married over 20 years. One hundred forty-four spouses in 72 marriages were interviewed. As the research evolved through the 1990's, 72 same sex partners from 36 lesbian and gay male relationships were added to the study. The final database includes 216 transcribed interviews. The study examines social influences including economic, racial, ethnic, and other cultural variables and areas such as modes of managing conflict and psychological intimacy. 1. Demographic data for individuals with coding for couples. Tab-delimited and SPSS format. 2. Qualitative Data – Includes transcribed interviews for the 216 participants and interview themes Interview themes are documents created with HyperRESEARCH in Word format with interview extracts based on relations themes such as: Aids; Alcoholism; Change; Circumstances; Commitment; Communication; Conflict; Conflict management; Crises; Decision making; Equity; Family of origin; Feminism; Finances; Homophobia; Initial attraction; Intimacy physical; Intimacy psychological; Intimacy sexual; Marital behavior; Meaning of spouse; Object relations; Parenting; Phases; Problem solving; Racism; Relatedness; Relational evolution; Relational fit; Relational value; Religion; Role expectations; Role models; Roles; Satisfaction; Social support; Therapy; Transitions.

The Biocean database was designed to gather the extremely large volume of data collected from different deep-sea ecosystem studies conducted by Ifremer's department of "Environnement Profond" and aims at facilitating ecosystem studies in the deep sea. It represents an important new resource for deep-sea ecologists and will have wide applications in biogeography, and biodiversity studies.. The relational database is available online and contains data covering 30 years of French deep-sea oceanographic research.

       This database comes in a six-application package; two of them are used on research vessels to collect operational data, whereas the others are used to link with a core database back on land. The latter are used to: (1) manage the taxonomic nomenclature, (2) monitor the identification of faunal collections and (3) fill in chemical analyses results or measurement data files (4) add or extract data from the database. BIOCEAN was designed to facilitate ecosystem studies in the deep sea. 24,426 records representing 3,156 species are present. Faunal collection with traditional gear (cores and trawls), submersible Nautile and ROV Victor (Remotely Operated Vehicle). Habitats covered include:deep-water benthic ecosystems including hydrothermal vents, cold seeps, deep-coral reefs and sediments.

       Size reference: 23876 distribution records collected in 69 cruises, 3170 species

       BIOCEAN database is open to anyone. Taxonomical and biogeographical data are opened through different web portals:
       -OBIS, Ocean Biogeographique 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.

World Bird Database (WBDB)

      BirdLife has been investing in the development of information
    management tools for many years. This is a fully relational database,
    known as the World Bird Database (WBDB). The database architecture
    provides some 120 tables covering in excess of 1,400 data fields. Data
    are being added continually, and certain tables already hold in excess
    of 250,000 records.

      Development started in 1994 with the Important Bird Areas
    module. In 1998, with funds provided by RSPB (BirdLife partner in the
    UK), the database was revised and extended so that it now covers
    sites, species and Endemic Bird Areas. RSPB continues to provide
    essential funding for the ongoing development of the WBDB.

      The World Bird Database provides the information management tool
    through which the BirdLife Partnership manages, analyses and reports
    on the breadth of its scientific knowledge - Species, Important Bird
    Areas (IBAs) and Endemic Bird Areas (EBAs) ^? much of these data are
    available through the Data Zone.

      You can search for detailed information on Species, Sites and EBAs,
    see examples of recent analyses and download subsets of the database.

      With information on some 10,000 species of bird, over 8,000 IBAs
    and 218 EBAs managed through the WBDB, together with BirdLife's
    spatial data, multimedia files, other documents and links, the
    BirdLife Data Zone is truly a valuable information resource.

    Data URL: "http://www.birdlife.org/datazone/index.html"
    Information taken from "http://www.birdlife.org/datazone/index.html"