Browsing by Subject "Database"

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A 2004 social accounting matrix for Israel
documentation of an economy-wide database with a focus on agriculture, the labour market, and income distribution
(2011) Siddig, Khalid; Flaig, Dorothee; Luckmann, Jonas; Grethe, Harald
This document describes the Israeli Social Accounting Matrix (SAM) for the year 2004, developed by the Agricultural and Food Policy Group at the University of Hohenheim. The SAM is a part of a larger research project which aims to analyse several economic, trade, and labour policies in the context of economic integration of agriculture between Israel and the West Bank. Data are obtained from various sources in Israel. Sources include the Israeli Central Bureau of Statistics (ICBS), the Central Bank of Israel (CBI), and the Israeli Tax Authority (ITA). Data from sources outside of Israel are used to fill-in some gaps in the domestic reports. External sources include the World Trade Organization (WTO), the Organisation for Economic Co-operation and Development (OECD), and the World Bank. The SAM provides data on 47 sectors with activities separated from commodities, 36 labour force types, 10 household groups, as well as 17 tax accounts in addition to 37 accounts reserved for taxes on production factors. A topdown approach is pursued by first building a balanced macro SAM which is consistent with 2004 national account data. Subsequently, the macro SAM is disaggregated into a micro SAM which is balanced in several steps.
The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes
(2023) Avila Santos, Anderson Paulo; Kabiru Nata’ala, Muhammad; Kasmanas, Jonas Coelho; Bartholomäus, Alexander; Keller-Costa, Tina; Jurburg, Stephanie D.; Tal, Tamara; Camarinha-Silva, Amélia; Saraiva, João Pedro; Ponce de Leon Ferreira de Carvalho, André Carlos; Stadler, Peter F.; Sipoli Sanches, Danilo; Rocha, Ulisses
Background: Metagenomic data can shed light on animal-microbiome relationships and the functional potential of these communities. Over the past years, the generation of metagenomics data has increased exponentially, and so has the availability and reusability of data present in public repositories. However, identifying which datasets and associated metadata are available is not straightforward. We created the Animal-Associated Metagenome Metadata Database (AnimalAssociatedMetagenomeDB - AAMDB) to facilitate the identification and reuse of publicly available non-human, animal-associated metagenomic data, and metadata. Further, we used the AAMDB to (i) annotate common and scientific names of the species; (ii) determine the fraction of vertebrates and invertebrates; (iii) study their biogeography; and (iv) specify whether the animals were wild, pets, livestock or used for medical research. Results: We manually selected metagenomes associated with non-human animals from SRA and MG-RAST. Next, we standardized and curated 51 metadata attributes (e.g., host, compartment, geographic coordinates, and country). The AAMDB version 1.0 contains 10,885 metagenomes associated with 165 different species from 65 different countries. From the collected metagenomes, 51.1% were recovered from animals associated with medical research or grown for human consumption (i.e., mice, rats, cattle, pigs, and poultry). Further, we observed an over-representation of animals collected in temperate regions (89.2%) and a lower representation of samples from the polar zones, with only 11 samples in total. The most common genus among invertebrate animals was Trichocerca (rotifers). Conclusion: Our work may guide host species selection in novel animal-associated metagenome research, especially in biodiversity and conservation studies. The data available in our database will allow scientists to perform meta-analyses and test new hypotheses (e.g., host-specificity, strain heterogeneity, and biogeography of animal-associated metagenomes), leveraging existing data. The AAMDB WebApp is a user-friendly interface that is publicly available at https://webapp.ufz.de/aamdb/ .
A sterol database: GC/MS data and occurrence of 150 sterols in seventy-four oils
(2024) Schlag, Sarah; Schäfer, Sabrina; Sommer, Katrin; Vetter, Walter
Comprehensive data on the occurrence of sterols in plant oils is currently hardly available since only a few sterols are obtainable as standard compounds. Accordingly, many peaks are rarely labeled in gas chromatograms due to missing or outdated information. This lack of information hampers the progress in sterol research. For this reason, gas chromatography with mass spectrometry in selected ion monitoring mode (GC/MS-SIM) was used to create a database that summarizes the occurrence and semi-quantitative levels of 150 sterols with 27–32 carbon atoms and 0–4 double bonds in 66 different vegetable oils and eight other matrices. The highest number of sterols was detected in rice bran and tamanu oil (40 sterols), eggplant (39 sterols), moringa, chili seed, and amaranth oil (37 sterols). Several sterols were detected in >60 of the 74 matrices. This detailed information in the database will serve users working in food authentication and the biosynthesis of sterols.