The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:

The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling

The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.

This dataset contains information on certified organic farms and businesses physically located in Iowa. These farms and businesses have successfully passed an inspection from a USDA National Organic Program Accredited Inspection Agency.

For more information please visit the USDA National Organic Program website: http://www.ams.usda.gov/AMSv1.0/nop

Note: Updates to this data product are discontinued. ERS collected data from USDA-accredited State and private certification groups to calculate the extent of certified organic farmland acreage and livestock in the United States. These are presented in tables showing the change in U.S. organic acreage and livestock numbers from 1992 to 2011 (see the National tables section). Data for 1997 and 2000-11 are presented by State and commodity (see the State tables section).

A database of quantum mechanical calculations on organic photovoltaic candidate molecules. Related Publications: Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen. (2018) Message-passing neural networks for high-throughput polymer screening arXiv:1807.10363

Comprehensive dataset of 6,132 Organic food stores in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 13 Organic farms in Nebraska, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Organics Statistics (Access) database holds information on organic operators in the UK including the names and addresses of producers, processors, importers and statistical information relating to crop area and the number of livestock.

The Organics Statistics (Access) database holds information on organic operators in the UK including the names and addresses of producers, processors, importers and statistical information relating to crop area and the number of livestock.

🇬🇧 영국 English The Organics Statistics (Access) database holds information on organic operators in the UK including the names and addresses of producers, processors, importers and statistical information relating to crop area and the number of livestock.

The soil organic carbon database is a harmonized and structured data set with information about soil organic carbon (SOC), soil bulk density (BD), and coarse fragments (CF). The SOC, BD, and CF data were fitted to one standard depth of 0-30 cm using a mass preservation spline implemented in R programmation language. The data was obtained from Unidad de Planificación Geográfica y Gestión de Riesgo of Ministerio de Agricultura Ganadería y Alimentación (UPGGR-MAGA), Facultad de Agronomía of Universidad de San Carlos de Guatemala (CEDIA-FAUSAC), and the World Soil Information Service (WoSIS). This database covers the entire Guatemalan territory, although its distribution does not represent all ecosystems, soil types, and coverages/land use. It contains 910 observations of SOC, 704 of them have BD information, and 8 have CF information. The entire data set has information on the year of observation, and its temporal distribution goes from 1965 to 2010. Nearly 50% is in the decade 2000-2010, and 41% is in the 2010 year. In addition, the analytical methods for quantifying SOC, BD, and CF are available in 99, 25, and 0% of the data, respectively. SOC contents range from 1.45 to 162 g*kg^-1, BD values ​​from 0.42 to 1.69 g*cm^-3, and CF values from 0 to 21%wt.

Organic: Social Welfare Contribution data was reported at 380,797.000 BRL th in 2017. This records a decrease from the previous number of 588,183.000 BRL th for 2016. Organic: Social Welfare Contribution data is updated yearly, averaging 441,141.000 BRL th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 588,183.000 BRL th in 2016 and a record low of 253,437.000 BRL th in 2008. Organic: Social Welfare Contribution data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Chemical and Petrochemical Sector – Table BR.RHE003: Chemical and Petrochemical Financial Data: Organic.

This dataset is part of the database compiled as an outcome of Work Area 1 in project OrganicYieldsUP. Variable definitions can be found here: https://doi.org/10.5281/zenodo.15276082

Work Package 3 (WP3) of the OrganicYieldsUP project focused on compiling off-site data from peer-reviewed scientific literature to complement the on-site experimental data gathered in WP2. The goal was to identify, extract, and structure data on yield-enhancing strategies under organic management across Europe and comparable climate zones. This process was essential for broadening the project’s evidence base and informing subsequent analysis and modelling activities in WP4 and WP5. WP3 followed a systematic approach aligned with PRISMA methodology to ensure transparent and consistent literature screening. A total of 751 publications were initially identified based on defined search criteria. After applying inclusion and exclusion filters, 170 studies passed the first screening phase. From these, data were successfully extracted from 60 scientific publications and entered into the standard WP2/WP3 data template developed in WP1.

The screening of published scientific papers focused on papers published between 2009 and 2024. This time frame was chosen to ensure the use of the most current and relevant studies reflecting recent developments in organic farming methods, data quality standards, and policy frameworks. The screening prioritized English-language publications to maintain consistency in terminology and ensure broad understanding across project partners. Only original peer-reviewed research articles were considered, including case study reports where applicable. The search excluded reviews, editorials, and opinion papers due to the risk of duplicating data already included in WP2. Studies needed to focus explicitly on the impact of organic crop management strategies on yields. Only field trials, long-term experiments, and case studies were included, while pot experiments and single-year studies were excluded to avoid misleading conclusions caused by seasonal anomalies or short-term effects. All included studies had to come from Europe or similar climate zones such as North America or North Africa. During initial screening, titles, abstracts, and keywords had to contain terms related to "yield" and "organic" to be considered relevant. Full-text screening followed, using specific keywords aligned with the WP1 database. Only studies containing the obligatory data fields identified in WP1 were accepted. Publications that had already been included in the WP2 analysis were not considered again in WP3.

Legacy product - no abstract available Legacy product - no abstract available

Organic: Cost from Production data was reported at 1,830,548.000 BRL th in 2017. This records a decrease from the previous number of 4,885,965.000 BRL th for 2016. Organic: Cost from Production data is updated yearly, averaging 3,425,208.000 BRL th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 4,885,965.000 BRL th in 2016 and a record low of 1,351,936.000 BRL th in 2008. Organic: Cost from Production data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Chemical and Petrochemical Sector – Table BR.RHE003: Chemical and Petrochemical Financial Data: Organic.

description: The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (.csv), an ESRI shapefile, and an ESRI export file (.e00).The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known.Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.; abstract: The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (.csv), an ESRI shapefile, and an ESRI export file (.e00).The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known.Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

Australia's National Oil-on-the-Sea Identification Database (NOSID) contains organic geochemical data on a reference set of 30 oils that is used to characterised (or fingerprint) an oil. The data on these oils have been produced from a variety of analytical methods including isotope, UVF, GC and GC-MS (biomarker) analyses.

The NOSID database and the Oil Identification Reference Kit are the products of collaboration between the Geoscience Australia (GA), the Australian Government Analytical Laboratories (AGAL) and the Australian Maritime Safety Authority (AMSA).

Note: Updates to this data product are discontinued. This data set provides farmgate and wholesale prices for select organic and conventional fruits and vegetables, wholesale prices for organic and conventional poultry (broilers) and eggs, as well as f.o.b. and spot prices for organic grain and feedstuffs. Prices are based on those reported by USDA Agricultural Marketing Service Market News, Organic Food Business News, and USDA National Agricultural Statistics Service.

This database contains geochemical data for samples analysed both for inorganic and organic geochemistry. Analytical data are sourced from Geoscience Australia's Inorganic Geochemistry Database (OZCHEM) and Organic Geochemistry Database (ORGCHEM), respectively. The data are joined on a unique sample number. Inorganic geochemical data cover the majority of the periodic table, with metadata on analytical methods and detection limits. Organic geochemical data include results of pyrolysis, derivative calculated values, and, where available, isotopic composition of carbonates (D13C) and isotopic composition of rock nitrogen (D15N). Further, there are provisions for delivery of isotopic data for kerogen (H, C, N) and oxygen (O) for carbonates. Where available, sample descriptions include stratigraphic unit names and ages, and lithology. Location information includes coordinates of the sampled feature (eg, borehole), coordinates of the sample and sample depth. Interpretation of the combined inorganic and organic geochemistry for organic-rich shales will facilitate comprehensive characterisation of hydrocarbons source rocks and mineral commodities source and trap environments. All are achieved within the frameworks of petroleum and mineral systems analysis. The initial data delivered by this service include 1785 samples from 35 boreholes from 14 geological provinces, including recently released data for 442 samples from the South Nicholson National Drilling Initiative Carrara 1 stratigraphic drill hole (Butcher et al., 2021; Carson et al., 2021). Many sampled boreholes are located within the polygon of the Exploring for the Future Barkly-Isa-Georgetown project. This dataset will be updated periodically as more data become available.

Collection of cured data on nutrients (N, P, K, C), trace elements (Cu, Zn, etc) and agronomic indicators (KeqN, ISMO) associated with French organic fertilisers, as described and modelled during the ACV-MAFOR project (Avadí 2020). Data representative of France, and to a lesser extent Europe, during the last 10 years.

A mass spectral database for organic compounds. The spectra included in the database are: electron impact Mass spectrum (EI-MS), Fourier transform infrared spectrum (FT-IR), 1H nuclear magnetic resonance (NMR) spectrum, 13C NMR spectrum, laser Raman spectrum, and electron spin resonance (ESR) spectrum.