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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,909 datasets
Comprising data from a common garden experiment with approximately 1500 Eucalyptus leucoxylon seedlings from three provenances. It measures survival, height, insect herbivory, and pathogen stress after 15 months to test local adaptation. The study was conducted at a 238-hectare restoration site in South Australia.
FEWS NET provides weekly staple food price data for Nigeria, collected since 2021. The dataset is available in XLSX, JSON, and CSV formats and is licensed under CC-BY. It supports market analysis and time-series tracking of key agricultural commodities.
Natural Resources Canada provides annual treed area dynamics across 650 million hectares of forested ecosystems from 1984 to 2022. The data is derived from Landsat-based land cover layers at a 30-meter spatial resolution and identifies areas that remained treed, became newly treed, or transitioned away from being treed. This dataset supports national and regional assessments of long-term forest change, post-disturbance recovery, and shifts in forest extent.
A 1978 study by Purdue University's Laboratory for Applications of Remote Sensing quantitatively defined relationships between soil reflectance and physiochemical properties. The research used a statistical stratification of U.S. climatic zones to select soil samples with a wide range of characteristics, preparing them under uniform one-tenth bar moisture tension for spectroradiometric analysis. The objective was to evaluate climatic and genetic effects on multispectral reflectance to inform soil classification and further research.
2.5 MB of vegetation standing crop data measures forage availability for livestock grazing near Las Cruces, New Mexico. The Jornada Experimental Range collected these records by clipping, drying, and weighing vegetation from quadrats and belt transects. Data collection was yearly but has been discontinued, with the last recorded update in October 1988.
Weekly staple food price data collected by FEWS NET in Nigeria since 2003. The dataset is updated regularly, with the latest update in March 2026. It is provided in multiple formats including XLSX, JSON, and CSV.
Over $20,000 in annual farm product purchases triggers mandatory state licensing for dealers in New York. The NYS Department of Agriculture and Markets maintains this registry, which includes business details and commodity listings, with licenses renewed annually on May 1st.
Weekly staple food price data for Chad collected by FEWS NET since 2002. The dataset is available in CSV, JSON, and XLSX formats and was last updated on March 24, 2026. It is published under a CC-BY-4.0 license.
Harvard Dataverse hosts data from a study on the stringent response in the plant pathogen Xanthomonas campestris pv. campestris strain 8004. The research, authored by Shi, Jia, investigates the regulatory role of the nitrite reductase subunit NirD in modulating (p)ppGpp alarmone levels under nitrogen limitation. The dataset was last updated on April 14, 2026.
The Myanmar Information Management Unit (MIMU) produced these rice sown area estimations for the 2023 monsoon season using a fusion of Sentinel-1 SAR and Sentinel-2 optical imagery. The dataset employs a Random Forest machine learning model to classify agricultural land cover across Myanmar's states and regions.
Harvest returns detail the tonnage, location, date, and trip duration for commercial harvesting of Macrocystis pyrifera (giant kelp) on Tasmania's east coast. Data is aggregated by site for the two-year period of 1970-1971, submitted by licensee Alginates (Australia) P/L to the Tasmanian Lands Department. The Australian Ocean Data Network hosts this historical record.
Harvest returns detail the tonnage of Macrocystis pyrifera (giant kelp) collected by Alginates (Australia) P/L from specific sites on Tasmania's east coast. Data is summed for individual sites across the two-year period of 1970-71. The records were originally lodged with the Tasmanian Lands Department as a condition of the harvesting license.
The continental United States is covered by this remote sensing dataset. It consists of aligned images from NAIP, Sentinel-2, Sentinel-1, and Landsat satellites, divided into 512x512 pixel tiles. The dataset was created by AllenAI and was last updated on the platform in March 2026.
5.5 KB Excel file contains percentage changes in antimicrobial resistance rates, benchmarked against a specific poultry company. Seyda Εahin published this dataset on figshare in April 2026. The data's small size suggests a focused comparison of resistance trends.
Forested soil descriptions for the BOREAS Southern Study Area in central Saskatchewan, Canada, provided by Agriculture Canada. The dataset contains soil codes, modifiers, extent, and names for primary, secondary, and tertiary soil units within each polygon. It is hosted by ORNL_CLOUD and appears on multiple platforms, including NASA EarthData and Data.gov.
Farm bankruptcy data for Canada and its provinces is provided by the Government of Alberta. The dataset covers a twenty-year period and is available in HTML and XLSX formats. It was last updated on March 25, 2026.
Data examines the variability in texture properties for foods classified under the combined IDDSI Level 7 (Easy to Chew and Regular) categories. The dataset was authored by Muxi Chen and last updated in April 2026. It is a small, focused dataset shared on figshare under a CC-BY-4.0 license.
Variability data for food categories classified under IDDSI Level 4, which combines Extremely Thick (EX4) and Pureed (PU4) textures. The dataset is a 9.5 KB Excel file created by Muxi Chen and published on Figshare in April 2026. It provides quantitative measures of consistency within this specific dysphagia diet level.
Within-level variability by food category in IDDSI Level 3 (MO3 + LQ3 combined). Muxi Chen published this analysis on figshare in April 2026. The dataset is a 9.5 KB Excel file detailing food texture measurements.
A 9.5 KB Excel file contains Spearman's Ο, q-values, Kendall's Ο_b, and Theil-Sen slopes calculated for indicators along a defined Food Path sequence (LQ3 β PU4 β 5 β 6 β EC7 β RG7). Muxi Chen authored this dataset, which was last updated in April 2026.