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1,425
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Dataset results
1,425 results for “Agriculture”
The Role of Agricultural Biodiversity in The Diet: a Vietnamese Study
ClinicalTrials.gov study NCT02626988. IPD Sharing: YES. Countries: 1. Publications: 0.
Women's Work in Agriculture and Infant Nutrition
ClinicalTrials.gov study NCT03406182. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
Sun Exposure and Melanoma in Agricultural Workers
ClinicalTrials.gov study NCT00901966. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Agricultural Health Study Follow-up
ClinicalTrials.gov study NCT01399411. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Specimen Collection for Agricultural Health Study Cohort Pesticide Exposure Study
ClinicalTrials.gov study NCT01139476. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis Data for "Identifying and characterizing pesticide use on 9,000 fields of organic agriculture"
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Data from: The impact of income, land, and wealth inequality on agricultural expansion in Latin America
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Data from: Agriculturally dominated landscapes reduce bee phylogenetic diversity and pollination services
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Data from: Population structure of a global agricultural invasive pest, Bactrocera dorsalis (Diptera: Tephritidae)
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Data from: Biodiversity conservation in agriculture requires a multi-scale approach
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Data from: Succession of arbuscular mycorrhizal fungi along a 52-year agricultural recultivation chronosequence
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Modulating plant growth-metabolism coordination for sustainable agriculture
GEO Series GSE114287. Oryza sativa. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircrafts and drones), and ground based hyperspectral imaging spectroscopy.The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download.Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields.
Global Agricultural Lands: Croplands, 2000
The Global Croplands data set represents the proportion of land areas used as cropland (land used for the cultivation of food) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensors were combined with agricultural inventory data to create a global data set. The visual presentation of these data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data were compiled by Navin Ramankutty et al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map
The China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the administrative regions of China for 1990. The census data includes urban and rural residency, age and sex distribution, educational attainment, illiteracy, marital status, childbirth, mortality, immigration (since 1985), industrial/economic activity, occupation, and ethnicity. The agricultural economic data encompasses rural population, labor force, forestry, livestock and fishery, commodities, equipment, utilities, irrigation, and output value. The boundary data are at a scale of one to one million (1:1M) at the county level. This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of California-Davis China in Time and Space (CITAS) project, and the Center for International Earth Science Information Network (CIESIN).
Global Agricultural Lands: Pastures, 2000
The Global Pastures data set represents the proportion of land areas used as pasture land (land used to support grazing animals) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensors were combined with agricultural inventory data to create a global data set. The visual presentation of these data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data were compiled by Navin Ramankutty et al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
Global Hyperspectral Imaging Spectral-library of Agricultural crops for Conterminous United States V001
The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for the Conterminous United States (GHISACONUS) Version 1 product provides dominant crop data in different growth stages for various agroecological zones (AEZs) of the United States. The GHISA hyperspectral library of the five major agricultural crops (e.g., winter wheat, rice, corn, soybeans, and cotton) for CONUS was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired from 2008 through 2015 from different AEZs of CONUS using the United States Department of Agriculture (USDA) Cropland Data Layer ([CDL](https://nassgeodata.gmu.edu/CropScape/)) as reference data.GHISACONUS is comprised of seven AEZs throughout the United States covering the major agricultural crops in six different growth stages: emergence/very early vegetative (Emerge VEarly), early and mid vegetative (Early Mid), late vegetative (Late), critical, maturing/senescence (Mature Senesc), and harvest. The crop growth stage data were derived using crop calendars generated by the Center for Sustainability and the Global Environment ([SAGE](https://nelson.wisc.edu/sage/)), University of Wisconsin-Madison. Provided in the CSV file is the spectral library including image information, geographic coordinates, corresponding agroecological zone, crop type labels, and crop growth stage labels for the United States.
China Dimensions Data Collection: Agricultural Statistics of the People's Republic of China: 1949-1990
The Agricultural Statistics of the People's Republic of China, 1949-1990 is an historical collection of agricultural statistical data compiled by China's State Statistical Bureau (SSB). The collection contains 297 variables covering social and economic indicators, commodities, price index, production, trade, and consumption. The data are provided at the national level (1949-1990) and the provincial level (1979-1990). This data set is produced in collaboration with the United States Department of Agriculture (USDA), SSB, and the Center for International Earth Science Information Network (CIESIN).
Agricultural fungicides to gene expression in Saccharomyces cerevisiae upon exposure to toxic doses
GEO Series GSE9337. Saccharomyces cerevisiae. 15 samples. Type: Expression profiling by array.
Control of agricultural traits by hc-siRNA associated MITEs in rice
GEO Series GSE50778. Oryza sativa. 6 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.