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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,882 datasets
A Shanghai-based quasi-experimental study by Hangwei Wang, last updated in April 2026, provides baseline and post-intervention data for 1,794 preschool children. The dataset includes Nutrition Quotient for Preschoolers (NQ-P) scores, BMI measurements, and factors like parental dietary responsibility and family meals. A three-month intervention with a subsample of 163 children showed changes in BMI and NQ-P scores.
Counterfactual analysis data from a study on how farming systems shape agricultural productivity in southwestern Ethiopia. The dataset is 195.9 KB in size and was authored by Tamiru Chalchisa. It was last updated on 2026-05-29 and is shared under a CC-BY-4.0 license.
Great Britain's forest and woodland areas over 0.5 hectares are mapped in this dataset, which is updated annually. The Government Digital Service compiled it using Sentinel 2 imagery, aerial photography, and administrative data from forestry agencies. Woodland is classified into 16 interpreted forest types, and non-woodland open areas are categorized into 11 types.
A 13.1 KB document by Jinhui Xie, uploaded to figshare on 2026-04-13, details an agronomic study on summer maize. The research explores how nitrogen fertilizer modulates the effect of drought priming on photosynthesis, antioxidant defense, nitrogen metabolism, and yield. Results include specific percentage increases in physiological metrics like net photosynthetic rate and grain yield.
A 3.5 MB PDF file published on figshare by Jinhui Xie on April 13, 2026, under a CC-BY-4.0 license. The dataset likely contains experimental results from a study on how nitrogen fertilizer modulates the effect of drought priming on summer maize. Measurements include photosynthetic parameters, antioxidant enzyme activities, nitrogen metabolism indicators, root morphology, and grain yield.
A dataset for the NariSafe ML project, a prototype for women's safety risk-awareness. It combines city-level crime statistics with OpenStreetMap-derived urban infrastructure and engineered contextual features to classify locations into low, medium, or high risk. The dataset was created by avnisinghal001 and last updated on June 12, 2026.
4,941 annotated images for food mold detection, captured using smartphones with clip-on microscope attachments. The dataset was created by Dinh Nam Pham and colleagues and was presented at the ACM Multimedia Systems Conference in April 2026. It supports research into accessible, low-cost food safety monitoring via computer vision.
ACTGOV Tree Assets is a point dataset showing trees owned or managed by the ACT Government's City and Environment Directorate. Attributes include location, suburb, ownership, botanical name, species, and maintenance features like tree guards and root barriers. The data is captured through a works-as-executed handover process or field audits and is maintained by the ACT Government Geospatial Data Catalogue.
Chen Chen provides raw data and images supporting research on Bovine Coronavirus cellular entry pathways. The dataset includes files in DOCX and XLSX formats totaling 168.0 MB. It was last updated on 2026-05-27 and is shared under a CC-BY-4.0 license.
Matteo Pegoraro's 2026 figshare dataset provides code and materials for representing functional data using merge trees from algebraic topology. The 21.6 MB release includes TXT, PYC, IPYNB, PDF, PY, and NPY files. It applies the method to the AneuRisk65 dataset to demonstrate robust statistical analysis for misaligned functional data.
Spectral reflectance data for aspen bark and leaves were collected in a controlled laboratory setting during the BOREAS project. The dataset contains measurements from one to nine trees at three sites, sampled across three Intensive Field Campaigns from May to September 1994. Each sample was scanned multiple times under moistened and air-dried conditions, with reported values representing averaged continuous spectra.
1994 data on pigment density in aspen bark and leaves, collected during three intensive field campaigns from May to September. The BOREAS TE-08 team sampled one to nine trees from four sites in the BOREAS Southern Study Area, analyzing bark from five distinct locations and a limited number of leaves. Pigment measurements include Chl a, Chl b, Total Chl, Carotenoids, and their ratios, normalized to mg/m².
Australian Ocean Data Network collates spatial, economic, and social impact data for seafood industry policy analysis. This parent record aggregates IMAS-hosted data from the CSIRO-led 'Futures of Seafood' project in collaboration with NESP Marine and Coastal Hub. The dataset, last updated on 2026-06-04, focuses on mapping government policies and targets affecting ocean access.
260.8 KB Excel file from figshare authored by Geraldine Wright, last updated May 2026. The dataset likely contains measurements of essential amino acid profiles in pollen, bee bread, honeybees, and royal jelly. It supports research on how nutritional constraints in pollen impact bee feeding behavior and performance.
A 234.7 KB research document by Nengjin Sun, last updated April 2026, analyzes transcriptomic data from H. pylori-infected patients to explore links to migraine and functional dyspepsia. The study identifies 683 differentially expressed genes and four CGRP-related hub genes (PNOC, ICAM1, MMP9, NFE2L1) involved in M1 macrophage polarization. Experimental validation was performed using RT-qPCR and loss/gain-of-function experiments in THP-1 macrophages and SH-SY5Y neuronal cells.
1,166 households participated in a Post Distribution Monitoring survey conducted by UNHCR in July 2020. The survey collected feedback on the quality and effectiveness of six types of non-food item and shelter assistance provided to Rohingya refugees in Bangladesh. This fifth PDM exercise covers the period from November 2019 to July 2020 and was used to improve upcoming distributions.
A 27.1 MB audio recording in WAV format, uploaded by Marie-Annick Moreau to figshare. Mzee Kulenga and Mzee Ndile discuss the advantages of muhingili wood for making traps compared to other wood types. The dataset was last updated on June 3, 2026.
A 525.2 KB collection of documents authored by Mohammed Ikagu Yusufu, last updated in April 2026. The material covers the historical evolution, techniques, and emerging trends in food canning, alongside the application of statistical tools for evaluating product quality and safety. The dataset is available in JPG and DOCX formats under a CC-BY-4.0 license.
A dataset by Siqi Xie, last updated in May 2026, combines observational and genetic data to investigate causal dietary risk factors for non-alcoholic fatty liver disease (NAFLD). It uses machine learning on NHANES 2017-2023 survey data and two-sample Mendelian randomization analyses with GWAS summary statistics. The 2.7 MB ZIP file contains findings highlighting alcohol and vitamin B6 intake.
TreeBush is a vector tile layer providing a customized world basemap uniquely symbolized to display special areas of interest. The City of Moreton Bay's Data Hub published this dataset, which was last updated on 2026-05-01. It is built using the same data sources as Esri's World Topographic Map and other basemaps.