Compare financial information of companies from different industries around the globe with Worldscope Fundamentals, providing essential insights and analysis.

By computing strain energies of peptide fragments within protein structures and their intramolecular interaction energies, we attempt to reveal general biophysical trends behind the secondary structure formation in the context of protein evolution. Our “protein basis set” consisted of 1143 representatives of different folds obtained from curated SCOPe database, and for each member of the set, the strain and intramolecular energy was calculated on the “rolling tripeptide” basis, employing the DFT-D3/COSMO-RS method for the former and the QM-calibrated force field method (MM) for the latter. The calculated data, strain and interactions, were correlated with the conservation of amino acid residues in secondary structure elements and also with the level of the residue burial within the protein three-dimensional structure. It allowed us to formulate several observations concerning fundamental differences between two main secondary structure motifs: α-helices and β-strands. We have shown that a strong interaction is one of the determining characteristics of the β-sheet formation, at least at the level of tripeptides (and likely penta- or heptapeptides, too), and that the β-strand is a prevailing secondary structure in the strongly-interacting regions of the protein folds conserved by evolution. On the other hand, low strain was neither proven to be an important physicochemical property conserved by evolution nor does it correlate with the propensity for the α-helix and β-strand. Finally, it has been demonstrated that the strong interaction has a certain level of connection with residue burial; however, we demonstrate that these two characteristics should be rather regarded as two complementary factors. These findings represent an important contribution to understanding protein folding from first principles, which is a complementary approach to ongoing efforts to solve the protein folding problem by knowledge-based approaches and machine-learning.

BIOS-SCOPE BGC data 2016-2019. Visit https://dataone.org/datasets/sha256%3Aefa821209a95a002469a86b70c7b1f31b497f89b2e3fe08275165f15106b80e8 for complete metadata about this dataset.

This is the complete set of data files released with SCOPe 2.07-stable. All SCOPe data are described in the publications, available here: https://scop.berkeley.edu/references/ver=2.07.

Full documentation for SCOPe is available on the SCOPe website, https://scop.berkeley.edu.

Parseable files are described here: https://scop.berkeley.edu/help/ver=2.07#parseablefiles.

The SQL tables are documented here: https://scop.berkeley.edu/downloads/schema/2.07/

The presented database is part of the LIFE BEETLES project which aims to conserve three species of endemic beetles that are not protected by the Habitats Directive: Tarphius floresensis Borges & Serrano, 2017, Pseudanchomenus aptinoides (Tarnier, 1860), and Trechus terrabravensis Borges, Serrano & Amorim, 2004. These species are single island endemics respectively from Flores, Pico, and Terceira. They are threatened by environmental degradation, facing the dual challenge of restricted distribution and habitat degradation. The study established a comprehensive database derived from a long-term arthropod monitoring survey that used SLAM (Sea, Land, Air, Malaise) traps and pitfall traps. Our findings present a proxy for assessing the overall habitat quality for endemic invertebrates, using arthropods as principal indicators.

From September 2020 to June 2023, a total of 31 SLAM traps were monitored. The traps were set up as follows: seven in Flores (three in mixed forest and four in native forest), 10 in Pico Island (four in mixed forest and six in native forest), and 14 in Terceira (three in mixed forest and 11 in native forest). Traps installed in a mixed forest dominated by exotic species were monitored every six months, while traps installed within native forest fragments were monitored every three months.

In addition, we employed 19 transects consisting of 15 non-attractive pitfall traps. The transects were set up during two weeks at the end of August every year between 2020 and 2023. Eight transects were established in Flores, consisting of one in pasture, four in mixed forest, and three in native forest. Six transects were established on Pico, consisting of two in pastures and four in native forest. Five transects were established in Terceira, consisting of two in mixed forest and three in native forest.

A total of 243 arthropod taxa were recorded, with 207 identified at the species or subspecies level. These taxa belonged to four classes, 24 orders, and 101 families. Out of the 207 identified taxa, 46 were endemic, 60 were native non-endemic, 80 were introduced, and 21 were indeterminate. Habitat information is also provided, including general habitat and dominant species composition. This publication contributes to the conservation of highly threatened endemic beetles by assessing habitat quality based on arthropod communities and habitat description (e.g. native or exotic vegetation). Additionally, it provides an updated inventory of arthropods from Pico, Terceira, and Flores islands.

Data limitations frequently prevent using actual consumer behavior in determining natural resource values, so stated preference methods are used. Whether value estimates show sensitivity to the scope of resource valued is a key test for their validity, which several studies fail. Developing a correlated panel mixed logit model of households' water quality valuations in California, we show that false negatives in scope tests can result when individual preference variation and correlation are ignored and split-sample comparisons are used. Monte Carlo simulations further demonstrate potentially prevalent false rejections of scope sensitivity even when within-subject comparisons of willingness to pay portray strong scope sensitivity.

Contains part 1/2 of the database files required for running the database described in "Expanding the scope of a catalogue search to bioisosteric fragment merges using a graph database approach" that can be run with https://github.com/stephwills/docker-neo4j.

Database Security Market is expected to grow at a high CAGR during the forecast period 2023-2030 | DataM Intelligence

This is the complete set of data files released with SCOPe 2.02-stable. All SCOPe data are described in the publications, available here: https://scop.berkeley.edu/references/ver=2.02.

Full documentation for SCOPe is available on the SCOPe website, https://scop.berkeley.edu.

Parseable files are described here: https://scop.berkeley.edu/help/ver=2.02#parseablefiles.

The SQL tables are documented here: https://scop.berkeley.edu/downloads/schema/2.02/

The machine and equipment database contains a large number of entries for the respective manufacturing processes and production methods. Since the share of emissions of manufacture of these machines and systems generally represents a negligible value in the overall balance, consideration (see PAS 2020, ISO 14040) is not necessary, if these values are individually below 1% of the total emissions and the deviation as a whole does not sum up to more than 5%. So that at least indicative values can be used, reference values per machine (accuracy class 3) are specified for use in the sustamize database.

Other frameworks pertain other rules and cut-off criteria, therefore before dismissing these emissions please make sure that you are acting according to the regulations of your project. The values are calculated according to machine and system size. The value calculation is based on a generic production in Germany. As the production chain of machines are rather complex, a recalculation according to different countries’ electricity mixes for this generic level would currently not increase the validity of the database.

CATH Domain Classification List (latest release) - protein structural domains classified into CATH hierarchy.

This offer includes high-precision, carbon emission-focused LCA datasets covering a wide range of manufacturing processes, allowing companies to assess the CO₂ impact of their industrial activities. The dataset includes detailed emission factors for various material transformations, machining, assembly, and finishing processes, helping businesses identify high-emission areas and optimize production efficiency.

With growing regulatory scrutiny under ISO 14067, GHG Protocol, and CSRD, manufacturers need accurate, region-specific CO₂ data to maintain compliance and improve their sustainability reporting. These datasets allow businesses to benchmark different production techniques, making it easier to transition towards low-carbon manufacturing strategies.

Accessible via API, CSV files, or the sustamize Data Platform, the dataset ensures seamless LCA integration for manufacturers looking to reduce emissions, improve operational efficiency, and meet sustainability goals.

Please refer to https://docs.sustamizer.com/knowledge-hub/database-overview/production for more info.

This is the complete set of data files released with SCOPe 2.04-stable. All SCOPe data are described in the publications, available here: https://scop.berkeley.edu/references/ver=2.04.

Full documentation for SCOPe is available on the SCOPe website, https://scop.berkeley.edu.

Parseable files are described here: https://scop.berkeley.edu/help/ver=2.04#parseablefiles.

The SQL tables are documented here: https://scop.berkeley.edu/downloads/schema/2.04/

Subsidyscope provides data related to US Federal government subsidies and their role in the economy. In particular, their Tax Expenditure Database provides comprehensive information on "tax expenditures" -- the lowering of the taxes certain parties pay the federal government by allowing special tax exemptions, deductions or credits.

Data

Tax Expenditure database contains more than 10 years of material. There appears to be no way to get all the data at once so the resources section just contains links for latest years.

Openness: NOT OPEN

From data page (emphasis added):

Subsidyscope maintains a variety of datasets. Some of them power the visualizations you see on the site, while others are used for behind-the-scene calculations. All of them are available for use under the terms of the Creative Commons Attribution-Noncommercial 3.0 United States License.

If you reference Subsidyscope in another publication please include a link to the main page (http://subsidyscope.org/) or include a citation such as this:

Subsidyscope.org. The Pew Charitable Trusts. Washington, DC. Accessed Month, XX, 20XX. Retrieved from http://subsidyscope.org.

This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 2 cruise in the Northeast Pacific Ocean, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems.

Between 2015 and 2022, numerous consuming countries in North America, Europe, and Oceania have proposed or passed legislation aimed to improve the environmental and social sustainability of businesses’ supply chains. These fall into three categories: disclosure-based legislation, mandating that companies report on sustainability-related risks and their approach to reducing it; due diligence legislation, which mandates companies to implement procedures to assess, mitigate, and remediate sustainability-related risks in their supply chains; and trade-based legislation, which prohibits the import of specific types of goods linked to adverse outcomes. We can further distinguish between single-issue legislation on the issues of labor problems (modern slavery/forced labor/child labor) and deforestation in the supply chain, and legislations with broader human rights and environmental scope. This database and the related report aim to provide an overview of the status, scope, and requirements of various laws that are tabled or already in force, with a particular focus on how they are likely to affect the coffee sector and actors within it.

2023 update:The 2023 version of the database updates the status of the respective regulations and expands the scope of search also to emerging consuming countries (e.g. in Asia) and producing countries (e.g. in Latin America). Please see country scope below. In the 2023 version of the database, we further added the category of "National Strategies, Action Plans, and Guidelines" to refer to soft law approaches that are more common in certain regions (such as Asia) to date. For completeness, we furthermore added select regulations (e.g. the US Uyghur Forced Labor Prevention Act) that have likely low relevance to the coffee sector but indicate a broader trend of the use of due diligence and trade instruments. The risk level of each legislation for coffee actors is described in column AQ. Green highlighted names of legislations highlight new additions to the database, while green highlighted cells indicate changes in criteria of legislations that were already part of the 2022 database.

This database was last updated on 14.09.2023, and contains information that was correct to the best of the authors' knowledge up to that date.

Open-Source Database Software Market size was valued at USD 10.00 Billion in 2024 and is projected to reach USD 35.83 Billion by 2032, growing at a CAGR of 20% during the forecast period 2026-2032.

Global Open-Source Database Software Market Drivers

The market drivers for the Open-Source Database Software Market can be influenced by various factors. These may include:

Cost-Effectiveness: Compared to proprietary systems, open-source databases frequently have lower initial expenses, which attracts organizations—especially startups and small to medium-sized enterprises (SMEs) with tight budgets. Flexibility and Customisation: Open-source databases provide more possibilities for customization and flexibility, enabling businesses to modify the database to suit their unique needs and grow as necessary. Collaboration and Community Support: Active developer communities that share best practices, support, and contribute to the continued development of open-source databases are beneficial. This cooperative setting can promote quicker problem solving and innovation. Performance and Scalability: A lot of open-source databases are made to scale horizontally across several nodes, which helps businesses manage expanding data volumes and keep up performance levels as their requirements change. Data Security and Sovereignty: Open-source databases provide businesses more control over their data and allow them to decide where to store and use it, which helps to allay worries about compliance and data sovereignty. Furthermore, open-source code openness can improve security by making it simpler to find and fix problems. Compatibility with Contemporary Technologies: Open-source databases are well-suited for contemporary application development and deployment techniques like microservices, containers, and cloud-native architectures since they frequently support a broad range of programming languages, frameworks, and platforms. Growing Cloud Computing Adoption: Open-source databases offer a flexible and affordable solution for managing data in cloud environments, whether through self-managed deployments or via managed database services provided by cloud providers. This is because more and more organizations are moving their workloads to the cloud. Escalating Need for Real-Time Insights and Analytics: Organizations are increasingly adopting open-source databases with integrated analytics capabilities, like NoSQL and NewSQL databases, as a means of instantly obtaining actionable insights from their data.

Information about dive activities were recorded into dive logs by personnel during the "Operation Deep Scope 2007" expedition, August 17 through 27, 2007. Additional information was documented in submersible dive track databases and included locational information, date, time, depth, etc. This dataset shows the general location of the dive activities, based on the submersible trackpoints.

The database we present is part of the LIFE SNAILS project (Support and Naturalization in Areas of Importance for Land Snails), which has the main aim of protect three species of terrestrial molluscs, two snails (Oxychilus agostinhoi and Leptaxis minor) and a semislug (Plutonia angulosa), which are endemic of Santa Maria Island, and whose populations are at high risk. In this study, we established a comprehensive database derived from a long-term arthropod monitoring campaign utilizing SLAM (Sea, Land, Air, Malaise) traps. While molluscs were not the focus, our findings present a credible proxy for assessing the overall habitat quality for endemic invertebrates, using arthropods as principal indicators. Between September and December of 2022, a total of 11 SLAM traps were installed and monitored monthly in eleven sites of mixed forests of Santa Maria Island. Based on the 33 available samples (11 sites x 3 months), we registered 94 identified taxa. A total of 21 species were endemic, 31 native non-endemic, 32 introduced and 10 indeterminate. This publication not only contributes to the conservation of highly threatened endemic molluscs, through an assessment of habitat quality based on arthropod communities and habitat description (e.g. native or exotic vegetation), but also provide an updated inventory of arthropods from Santa Maria Island.

481 Global import shipment records of Spotting Scope with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.