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Dataset containing information on all comparative social network studies used in the paper Comparative Approaches in Social Network Ecology.Dataset has 49 rows. Columns as follows:Title: The title of the studyAuthor: Information on the authorship teamASNR: Whether or not the study used the animal social network repository (ASNR). Two-level variable (Y/N)Disease simulation?: Whether or not the study included epidemiological simulations. Two-level variable (Y/N)Number of networks: Number of distinct networks in study (where information is clear)Number of species: Number of species in study (where information is clear)Humans: Whether or not the study included humans. Two-level variable (Y/N)Research Topic: Research area of study. Free text.Research Field: Broad research field of study. (Beh=Behaviour; Dis=Disease; Wel=Welfare; Meth=Methodological; Dat=Dataset)Primates?: Whether or not the study included primates. Two-level variable (Y/N)Comments: Any additional information. Free text.Link: Link to the study
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Twitterhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/TNSZ3Nhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/TNSZ3N
The final version of the database before publication.
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The main SPSS dataset of over 700 variables covers 11 sections on 12 developed capitalist electoral democracies. (see Outline file included here for an overview of both sections and countries included, with the names in order of every variable and label.) The second SPSS file is of 29 variables of Covid-related daily data from OWID website that covers the same 12 countries from the start of Covid-19 in January 2020 to Aug 2, 2023. (2023-08-16)
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TwitterWe provide a yearly categorization of semi-presidential regimes and sub-regimes. The database covers the period 1900-2021 for all currently independent countries in the world. It includes categorizations from other databases and new measurements of seminal concepts of semi-presidential regimes.
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The Database Comparison Software market is booming, projected to hit $222.3 million in 2025 and grow at a CAGR of 7.5% to 2033. Discover key trends, leading companies (Red Gate, dbForge, etc.), and regional market insights in this comprehensive analysis. Explore cloud-based vs. on-premise solutions and the impact of DevOps on this rapidly expanding sector.
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TwitterNursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who can’t be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.
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TwitterPIECE is a plant gene structure comparison and evolution database with 25 species. Annotated genes extracted from the species are classified based on the Pfam motif and phylogenetic trees are reconstructed for each gene category integrating exon-intron and protein motif information. Resources in this dataset:Resource Title: Web Page. File Name: Web Page, url: https://probes.pw.usda.gov/piece/index.php
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TwitterTHIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Non-coding DNA segments that are conserved across multiple homologous genomic sequences are good indicators of putative regulatory elements. We use a systematic approach to delineate such conserved non-coding blocks from a collection of vertebrate species. Upstream regions of homologous gene pairs from man, rhesus monkey, mouse, rat, dog, cow, chicken, tetraodon, zebrafish and xenopus are considered for this purpose. Pairwise as well as Multiple alignments based on the pairwise ones are available. Sequence conservation in non-coding, upstream regions of orthologous genes from man and mouse is likely to reflect common regulatory DNA sites. Motivated by this assumption we have delineated a catalogue of conserved non-coding sequence blocks and provide the CORG-''COmparative Regulatory Genomics''-database. The data were computed based on statistically significant local suboptimal alignments of 15 kb regions upstream of the translation start sites of, currently, 10 793 pairs of orthologous genes. The resulting conserved non-coding blocks were annotated with EST matches for easier detection of non-coding mRNA and with hits to known transcription factor binding sites. CORG data are accessible from the ENSEMBL web site via a DAS service as well as a specially developed web service for query and interactive visualization of the conserved blocks and their annotation.
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Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset.
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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 40 years, 1975-2015. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.
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TwitterThis data has been used to quantify phosphorus, nitrogen, total solids, and water flows in 101'548 sanitation systems generated from 41 potential technologies appropriate for a small town (Katarnyia) in Nepal. The data contains input and output data for a didactic case as well as the full application to Katarniya. The input data is a csv file with the compiled information on the 41 technologies collected from literature on the technologies. This includes the technology appropriateness profiles and scores and in particular the transfer coefficients of the four substances in question. Results include: (1) all valid sanitation system configurations; (2) a a smaller set of divers and highly appropriate sanitation system options as an input into decision-making; (3) substance flows for phosphorus, nitrogen, total solids, and water and recovery and loss potential.
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We provide a yearly categorization of death penalty status as well as changes of the status in the world. The database covers the period 1800-2022 for all currently independent countries in the world.
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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 42 years, 1975–2017. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.
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TwitterDatabase providing integrated access to genome sequence, expression data and literature curation for Tuberculosis (TB) that houses genome assemblies for numerous strains of Mycobacterium tuberculosis (MTB) as well assemblies for over 20 strains related to MTB and useful for comparative analysis. TBDB stores pre- and post-publication gene-expression data from M. tuberculosis and its close relatives, including over 3000 MTB microarrays, 95 RT-PCR datasets, 2700 microarrays for human and mouse TB related experiments, and 260 arrays for Streptomyces coelicolor. (July 2010) To enable wide use of these data, TBDB provides a suite of tools for searching, browsing, analyzing, and downloading the data.
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Power comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.
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Access to Data The Differentially Expressed Protein Database (DEPD) is a publicly available, web-based database. It was designed to store the output of comparative proteomics and provides a query and analysis platform for further data mining. Currently, the DEPD contains information about more than 3,000 DEPs, manually extracted from published literature, mostly from studies of serious human diseases including lung cancer, breast cancer and liver cancer. Towards establishing a data exchange standard for comparative proteomics, DEPD provide a new XML schema named CPXS 0.1 (comparative proteomics XML Schema). Additionally, a user-friendly web interface has been set up with tools for querying, visualization and analysis results of published comparative proteomics studies. All of the DEPD data can be downloaded freely from the web site (http://protchem.hunnu.edu.cn/depd/).
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OECD Revenue Statistics: Comparative Tables Introduction
The OECD Revenue Statistics database provides detailed and internationally comparable data on the taxes and social contributions paid by businesses and individuals in OECD countries. The data is collected annually from national governments and covers a wide range of taxes, including personal income tax, corporate income tax, social security contributions, and value-added tax.
Data
The database is divided into two main parts:
Part 1: Revenue by Level of Government This part of the database provides data on the total revenue collected by each level of government (central, state, and local) in each OECD country. The data is broken down by type of tax and by source of revenue (e.g., taxes on income, profits, and capital gains; taxes on goods and services; social security contributions).
Part 2: Revenue by Tax Type This part of the database provides data on the revenue collected from each type of tax in each OECD country. The data is broken down by level of government and by source of revenue.
Uses
The OECD Revenue Statistics database can be used for a variety of purposes, including:
Cross-country comparisons of tax levels and structures The database can be used to compare the tax levels and structures of different OECD countries. This information can be used by policymakers to assess the effectiveness of their tax systems and to identify potential areas for reform.
Analysis of the impact of tax policies The database can be used to analyze the impact of tax policies on economic growth, income distribution, and other outcomes. This information can be used by policymakers to design tax policies that are more effective and efficient.
Research on tax policy The database can be used by researchers to study the effects of tax policy on a variety of economic outcomes. This research can help to inform the design of tax policy and to improve our understanding of the economic effects of taxation.
Conclusion
The OECD Revenue Statistics database is a valuable resource for policymakers, researchers, and anyone interested in the taxation of businesses and individuals in OECD countries. The database provides detailed and internationally comparable data on a wide range of taxes, making it an essential tool for understanding the tax systems of OECD countries.
Data Access
The OECD Revenue Statistics database is available online to subscribers. Subscribers can access the data through the OECD's website.
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TwitterThe Comparative Parliamentary Democracy Data Archive data set consist of cabinet-level data of 17 Western European democracies for post-WWII cabinets through January 1, 1999. All together, a total of 424 coalitions, single party and non-partisan cabinets are included. Data for Greece, Portugal and Spain exist only after their democratizations in the 1970s, while data on France is limited to the Fifth Republic beginning in 1959. For the purposes of our data set, it can be said that the world "froze" on January 1, 1999. The last observation in each country is coded on the basis on the information that was available on that day.
Purpose:
The Comparative Parliamentary Democracy project examines West European parliamentary politics from a principal–agent perspective.
The ZIP file consist sav files (for SPSS) and documentation in pdf format (codebooks).
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TwitterThe Swedish Contextual Database provides a large number of longitudinal and regional macro-level indicators primarily assembled to facilitate research on the effects of contextual factors on family and fertility behavior. It can be linked to the individual-level data of the Swedish GGS as well as to data of other surveys. It can also be used for other types of research and for teaching. The comparative data will also be integrated into the international Contextual Database of the GGP. The contextual data are available open-access through the GGP webpage: www.ggp-i.org and through the webpage of Stockholm University Demography Unit www.suda.su.se
Purpose:
The Swedish contextual database (CDB) was established to accompany the Swedish Generations and Gender Survey (GGS) and to complement the contextual database of the international Generations and Gender Programme (GGP).
The Swedish Contextual Data Collection is available in xls format. In addition to that, the internationally comparative data will be integrated into the Contextual Database (CDB) of the GGP in 2018. These data can be exported in other formats, as well (e.g. CSV, XML). The indicators can also be accessed in a single file in STATA or SPSS format. The data can be matched with the Swedish GGS. International regional coding schemes are also supported, such as NUTS, OECD.
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ChatGPT Database comparison (students vs ChatGPT summary)
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Dataset containing information on all comparative social network studies used in the paper Comparative Approaches in Social Network Ecology.Dataset has 49 rows. Columns as follows:Title: The title of the studyAuthor: Information on the authorship teamASNR: Whether or not the study used the animal social network repository (ASNR). Two-level variable (Y/N)Disease simulation?: Whether or not the study included epidemiological simulations. Two-level variable (Y/N)Number of networks: Number of distinct networks in study (where information is clear)Number of species: Number of species in study (where information is clear)Humans: Whether or not the study included humans. Two-level variable (Y/N)Research Topic: Research area of study. Free text.Research Field: Broad research field of study. (Beh=Behaviour; Dis=Disease; Wel=Welfare; Meth=Methodological; Dat=Dataset)Primates?: Whether or not the study included primates. Two-level variable (Y/N)Comments: Any additional information. Free text.Link: Link to the study