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1,425 results for “Agriculture”
Perrot et al _ data _ Use of linear features by red-legged partridges in an intensive agricultural landscape
<p>Dataset about the article "<strong>Use of linear features by red-legged partridges in an intensive agricultural landscape: implications for landscape management in farmland"</strong></p>
The Dataset of the paper "Strategies to Embed Human Values in Agriculture Mobile Apps: What do End-Users and Practitioners Think?"
<p>This package includes interview questionnaire, focus groups questionnaire, and member checking summary used in this paper submitted to JSS.</p>
City-level virtual groundwater flows in northern China and the effect of agricultural relocation on alleviating groundwater scarcity
<p>This dataset included the nested multi-regional input output model (MRIO) used in our paper which including 13 cities in BTH region with other 28 provinces of China (30 sectors) of 2012 and the groundwater use inventory matched with MRIO. If you use this dataset, please kindly cite our papaer: Cai, B., Jiang, L., Liu, Y., Zhang, Z., Hu, X., & Zhang, W. (2023). City-level virtual groundwater flows in Northern China and the effect of agricultural relocation on alleviating groundwater scarcity. <em>Earth's Future</em>, 11, e2023EF003561. <a href="https://doi.org/10.1029/2023EF003561">https://doi.org/10.1029/2023EF003561</a>.</p>
Replication files for: "Air Pollution from Agricultural Fires Increases Hypertension Risk"
<p>Replication files for: "Air Pollution from Agricultural Fires Increases Hypertension Risk"</p>
Primary Survey Socioeconomic Dataset of the Study on Agricultural Performance and Farm Size: Village Dynamics in South Asia (VDSA)
<p>These datasets contain many economic variables related to agriculture like crop output value, profit and several others. These datasets can be used for testing several hypotheses related to agricultural economics, both at plot level and household level.</p> <p>Users can also reproduce these datasets using the STATA 14 do file ‘VDSA data management for agricultural performance’. This STATA program file uses the Village Dynamics in South Asia (VDSA) raw data files in excel format. The resulting output will be two data files in stata format, one at plot level and other at household level. </p> <p>These plot level and household level data sets are also included in this repository. The word file ‘guidelines’ contain instructions to extract VDSA raw data from VDSA knowledge bank and use them as inputs to run the STATA do file ‘VDSA data management for agricultural performance’ </p> <p>The VDSA raw data files in excel format needed to run the stata do file are also available in this repository for users convenience</p> <p>The raw VDSA data were generated by the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in partnership with Indian Council of Agricultural Research (ICAR) Institutes and the International Rice Research Institute (IRRI) and funded by the Bill & Melinda Gates Foundation (BMGF) (Grant ID: 51937). The data were acquired in surveys by resident field investigators. Data collection was mostly through paper based questionnaires and Samsung tablets were also used since 2012. The survey instruments used for different modules are available at <a href="http://vdsa.icrisat.ac.in/vdsa-questionaires.aspx">http://vdsa.icrisat.ac.in/vdsa-questionaires.aspx</a></p> <p>Study sites were selected using a stepwise purposive sampling covering agro-ecological diversity of the region. Three districts within each zone were selected based on soil, climate parameters as well as the share of agricultural land under ICRISAT mandate crops. On similar lines, one typical sub-district within each district and two villages within each sub-district were selected. Within each village, ten random households from four landholding groups were selected.</p> <p>Selected farmers were visited by well trained, agriculture graduate, resident field investigators, once every three weeks to collect information related to various socioeconomic indicators. Some of the data modules like details on crop cultivation activities including plot wise input, output was collected every three weeks while others like general endowments were collected once at the beginning of every agricultural year. </p> <p>The compiled data, source data, data descriptions and data management code are all published in a public repository at <a href="http://dataverse.icrisat.org/dataverse/socialscience">http://dataverse.icrisat.org/dataverse/socialscience</a> at <a href="https://doi.org/10.21421/D2/HDEUKU">https://doi.org/10.21421/D2/HDEUKU</a>]</p> <p>Some of the several benefits of these data are:</p> <ul> <li>Scientists, students, development practitioners can benefit from these data to track changes in the livelihood options of the rural poor as this data provides long-term, multi-generational perspective on agricultural, social and economic change in rural livelihoods.</li> <li>The survey sites provide a socio-economic field laboratory for teaching and training students and researchers</li> <li>This dataset can be used for diverse agricultural, development and socio-economic analysis and to better understand the dynamics of Indian agriculture.</li> <li>The data helps to provide feedback for designing policy interventions, setting research priorities and refining technologies.</li> <li>Shed light on the pathways in which new technologies, policies, and programs impact poverty, village economies, and societies</li> </ul>
Agricultural land-use increases carbon yields in lowland streams of the Congo Basin
<p>Complete data used to generate carbon yields and compare streams draining forested and agricultural landscapes in Kisangani, DRC. </p>
Vertical profiles of aerosol, NO2, H2O and HONO in Hefei and its surrounding agricultural fields
<p>Average aerosol vertical profiles exhibited a Gaussian shape above 100 m with maximum values of 0.67 km<sup>-1</sup> and 0.55 km<sup>-1</sup> at 300-400 m layer at AHU and CF, respectively. The distinct layered structure mainly attributed to regional transport. Average H<sub>2</sub>O and NO<sub>2</sub> vertical profiles all showed a Gaussian shape and an exponential shape at AHU and CF, respectively. Moreover, the diurnal evolution of H<sub>2</sub>O profiles performed one peak and bi-peak patterns at AHU and CF, respectively, whereas NO<sub>2</sub> at two stations all exhibited bi-peak patterns attributed to vehicle emissions. Average HONO vertical profiles showed an exponential shape and a Gaussian shape at AHU and CF, respectively. Higher HONO (> 0.05 ppb) above 1.0 km at 14:00-16:00 was observed at CF.</p>
Agriculture_2021_WEM_EPA
<p>2023 Excel workbook for the Agriculture sector With Existing Measures (WEM) for 1990–2021, as compiled by the Environmental Protection Agency (Ireland) in support of Ireland's annual GHG inventory and projection submissions. The workbook also includes projected time series for data up to 2050 based on Teagasc modelling based on economic projections of agricultural production.</p>
Pelletizing of agricultural lime obtained from shellfish (mussel) shells
<p>The dataset documents the results from the process of preparing agricultural lime (primarily calcium carbonate) pellets for application in the agricultural industry, and to determine the best processing methods for i) size reduction of the lime and ii) the appropriate preparation methods of the lime pellets using agglomeration. The data set is from a thesis on the re-utilization of by-products that originate in aquaculture in other agricultural sectors. </p>
Home Air in Agriculture: Pediatric Intervention Trial
ClinicalTrials.gov study NCT04919915. IPD Sharing: YES. Countries: 1. Publications: 3.
Homestead Agriculture and Nutrition Project
ClinicalTrials.gov study NCT03311698. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
The Trinity, Ulster and Department of Agriculture Cohort Study
ClinicalTrials.gov study NCT02664584. IPD Sharing: NO. Countries: 2. Publications: 2.
Multi-Sectoral Agricultural Intervention to Improve Nutrition, Health, and Developmental Outcomes of HIV-infected and Affected Children in Western Kenya
ClinicalTrials.gov study NCT03170986. IPD Sharing: NO. Countries: 1. Publications: 1.
Creating Homestead Agriculture for Nutrition and Gender Equity (CHANGE) in Burkina Faso
ClinicalTrials.gov study NCT02236468. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Natural History Study of Early Life Exposures in Agriculture (ELEA)
ClinicalTrials.gov study NCT07328516. IPD Sharing: NO. Countries: 1. Publications: 7.
Assessing the Effects of a Multisectoral Agricultural Intervention on the Reproductive and Sexual Health of Adolescent Girls and Young Women
ClinicalTrials.gov study NCT06953310. IPD Sharing: YES. Countries: 1. Publications: 4.
Child Health, Agriculture and Integrated Nutrition
ClinicalTrials.gov study NCT04874688. IPD Sharing: YES. Countries: 1. Publications: 1.
A Multi-Level Approach to Heat-Related Illness Prevention in Agricultural Workers
ClinicalTrials.gov study NCT04234802. IPD Sharing: YES. Countries: 1. Publications: 3.
Zoonotic Influenza Infections of Swine Origin at Ohio Agricultural Fairs
ClinicalTrials.gov study NCT02124096. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Heat Strain Prevention in Elderly Agricultural Workers
ClinicalTrials.gov study NCT06192069. IPD Sharing: NO. Countries: 1. Publications: 9.
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
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DANDI Archive for NWB datasets
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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.