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31 results for “FAO”
FAO and SAGARPA. (2012). Baseline of the Natural Resources Sustainability Program. Sustainable Land Use Subindex - Calculation Methodology. Mexico City (53 pp.) (FAO y SAGARPA. (2012). Línea de Base del Programa de Sustentabilidad de los Recursos Naturales. Subíndice de Uso Sustentable del Suelo - Metodología de Cálculo (53 pág.). Ciudad de México)
The lack of soil data is a complication that most soil scientists will encounter throughout their career; this critical aspect is exacerbated due to the excessive cost of soil surveying. Consequently, it is essential to develop strategies that guarantee the permanent accessibility of past soil sampling efforts. The main objective of this contribution is to release an entire dataset of soil samples surveyed by the Secretary of Agriculture, Livestock, Rural Development, Fisheries, and Food (SAGARPA) in collaboration with the Food and Agriculture Organization of the United Nations (FAO) in the year 2012, the dataset consists of more that 4000 compound samples surveyed on managed cropland. SAGARPAS's main objective was to generate a new index to assess and monitor the current and future state of soil when sustainable soil practices take place. A complete set of physicochemical properties were determined via laboratory analysis for all record in the dataset, namely: pH, EC, OM, BD, P, Sand, Silt, Clay, Texture, N, K, Ca, Mg, Na, CEC, Sodium Adsorption Ratio (SAR), Exchangeable Sodium Percentage (ESP), including the calculation of the Sustainable Soil Land Use Subindex (SSLUS). We presented a reviewed dataset with the potential to contribute to a large variety of studies, ranging from: agricultural pinpointing of the best conditions for crop production to digital soil mapping and modeling and agronomical studies. We also provide the original report on the developement of the dataset, indicating the names of creators and colaborators, as well as the methods of analysis and interpretation of the results. The new information is appealing for a wide diversity of users interested in soil traits across agricultural systems of Mexico.
Dictionary of FAO major fishing areas
<p>This JSON-formatted dictionary of fishing areas as organised by the Food and Agriculture Organization (FAO) of the United Nations (UN) is based on data published on the websites of the European Commission (<a href="https://fish-commercial-names.ec.europa.eu/fish-names/fishing-areas_en">English</a>, <a href="https://fish-commercial-names.ec.europa.eu/fish-names/fishing-areas_de">German</a>). If no German name could be determined, the English name is given instead.</p> <p>The concept and rationale of the FAO Major Fishing Areas is described on the <a href="https://data.apps.fao.org/catalog/dataset/cwp-fishing-area">FAO website</a>.</p> <p>This dictionary implements three hierarchical levels: Areas, Subareas and Divisions.</p>
ludemannc/fao_cnb: FAO cropland nutrient budget analysis
<p>Data and code used for creating Cropland Nutrient Budget (1961-2020) related figures and tables in the Ludemann et al Earth Systems Science Data article available at: https://doi.org/10.5194/essd-2023-206.</p>
Aquaculture production flatfish 2000 2018 Fao Fishstat
<p>Data describes quantity of flatfish produced in aquaculture by country and year. The data covers the period 2000 to 2018.</p>
Abalone aquaculture production 2000 2018 FAO Fishstat
<p>Data describes quantity of abalone produced in aquaculture by country and year. The data covers the period 2000 to 2018.</p>
Abalone fisheries production 1984 2018 FAO Fishstat
<p>Data describes quantity of abalone harvested from fisheries by country and year. The data covers the period 1984 to 2018.</p>
2010_FAO_Gridded_Livestock_World
<p><strong>Abstract:</strong></p> <div> <div> <div> <p>A series of Livestock Density Data Layers providing density distribution layers for Bovine, Small Ruminants, Pigs and Poultry. layers derived by multivariate regression statistical modelling of subnational resolution survey and census data between 1995 and 2015. These data are 'totals corrected versions' - so that the densities within each survey or census data polygon are corrected to ensure the derived totals match those from which the statistical models were calculated.</p> <p>Produced for the Agriculture Division at the Food And Agriculture Organisation in Rome</p> <p> </p> </div> </div> </div> <div> </div> <div><strong>File names: </strong></div> <table> <tbody> <tr> <td>FAO Gridded Livestock of the World Cattle</td> </tr> <tr> <td>FAO Gridded Livestock of the World sheep</td> </tr> <tr> <td>FAO Gridded Livestock of the World goats</td> </tr> <tr> <td>FAO Gridded Livestock of the World pigs</td> </tr> <tr> <td> <p>FAO Gridded Livestock of the World Chickens</p> </td> </tr> </tbody> </table> <p> </p>
FAO species catalog: fao_species.tar.gz
<p></p>https://eol-jira.bibalex.org/browse/DATA-1787<p></p><p></p>http://www.fao.org/fishery/org/fishfinder/3,3/en
Gene expression data from clones of FAO cells with different glucose production capability
<div> <div> <div> <p>In response to energy and nutrient shortage, the liver triggers several catabolic processes to promote survival. Despite recent progresses, the precise molecular mechanisms regulating the hepatic adaptation to fasting remain incompletely characterized. Here, we report the identification of Hydroxysteroid dehydrogenase-like 2 (HSDL2) as a mitochondrial protein highly induced by fasting. We show that activation of PGC1a-PPARa and inhibition of the PI3K- mTORC1 axis stimulate HSDL2 expression in hepatocytes. We found that HSDL2 depletion decreases cholesterol conversion to bile acids (BAs) and impairs FXR activity. HSDL2 knockdown also reduces mitochondrial respiration, fatty acid oxidation, and TCA cycle activity. Bioinformatics analyses revealed that hepatic Hsdl2 expression positively associates with the postprandial excursion of various BA species in mice. Here, we show that liver-specific HSDL2 depletion impacts BA metabolism and decreases circulating cholesterol levels upon refeeding. Overall, our report identifies HSDL2 as a fasting-induced mitochondrial protein that links nutritional signals to BAs and cholesterol homeostasis.</p> </div> </div> </div>
Catches of three main species in the Southwest Atlantic area FAO 41
<p>Download and calculation from FAO FishStatJ on catches of three main species in the Southwest Atlantic from 1950 to 2018. Calculation from 2000 to 2018. Value in 1000 USD, quantity in tonnes</p>
Trade data Argentine hake Southwest Atlantic FAO area 41
<p>The dataset compiles trade data of Argentine hake harvested in the Southwest Atlantic FAO area 41. Export and import data from main commercial actors are included Argentina, Spain and Falkland/Malvinas Islands. Period analysed 2010 to 2020. Values in thousand of Euros. Sources ITC - Trade maps, National Institute of Statistics and Census - Republic of Argentina, UN COMTRADE Database and Falkland/Malvinas Islands<br> </p>
FAO Fishery Statistics
This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included. <p></p>http://www.fao.org/fishery/statistics/global-production<p></p>
Genotype data of Philippine native pigs, Duroc, Landrace, Large White and Berkshire, using 20 ISAG-FAO recommended microsatellite markers
<p>Microsatellite genotyping is a cost-effective method for the genetic diversity analysis of under-studied populations, such as the Philippine native pigs. We genotyped <em>n</em> = 196 pigs representing 7 Philippine native pig populations (<em>n </em>= 20 to 27 for each population) and 4 commercial transboundary breeds (<em>n</em> = 9 to 11 for each population). Twenty microsatellite markers, recommended by the International Society of Animal Genetics (ISAG)-FAO, were used to generate the dataset for population analysis (S0005, S0155, S0026, S0355, Sw830, Sw2410, Swr1941, Sw632, Sw24, S0228, Sw936, S0097, Sw857, Sw122, Sw2406, IGF1, Sw240, S0090, S0226, Sw72). S0218 was used as a sex marker (data not shown). All loci, except Sw24, did not deviate from Hardy Weinberg equilibrium. Each marker showed an average <em>PIC </em>of 0.779. A total of 260 alleles of length 86 to 272 bp were obtained. Using this dataset, we determined population structure and conservation priorities in the Philippine native pigs. This dataset contains both the raw files (.fsa) and the processed file (.txt). This dataset can be used by colleagues to increase their research coverage and achieve multi-population and multi-country comparisons, especially among Asian indigenous pigs.</p>
Genotype data of Philippine native pigs, Duroc, Landrace, Large White and Berkshire, using 20 ISAG-FAO recommended microsatellite markers
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Gene expression data from clones of FAO cells with different glucose production capability
Open the record for dataset details and reuse information.
sardinia_PM-FAO_ET0_HadGEM2-ES_rcp4p5_2010_monthlytot.nc4
<p>Total monthly reference evapotranspiration (mm/m) of Sardinia for year 2010 after ISIMIP-2a HADGEM2-ES RCP4.5 projections</p>
sardinia_PM-FAO_ET0_HadGEM2-ES_rcp4p5_2030_monthlytot.nc4
<p>Total monthly reference evapotranspiration (mm/m) of Sardinia for year 2030 after ISIMIP-2a HADGEM2-ES RCP4.5 projections</p>
sardinia_PM-FAO_ET0_HadGEM2-ES_rcp8p5_2030_monthlytot.nc4
<p>Total monthly reference evapotranspiration (mm/m) of Sardinia for year 2030 after ISIMIP-2a HADGEM2-ES RCP8.5 projections</p>
sardinia_PM-FAO_ET0_HadGEM2-ES_rcp8p5_2010_monthlytot.nc4
<p>Total monthly reference evapotranspiration (mm/m) of Sardinia for year 2010 after ISIMIP-2a HADGEM2-ES RCP8.5 projections</p>
In-silico Mass Spectra for FAO_WHO_JECFA Chemical List
<p>In-silico spectra were generated for the FAO_WHO_JECFA Chemical List using the ICEBERG model, re-trained using MONA/GNPS/NIST2020 spectra.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.