Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,425
datasets available to search
ShareScore release 0.7.1
Dataset results
1,425 results for “Agriculture”
Evaluation of Thermal Comfort Conditions in The Working Environments of Seasonal Agricultural Workers in Csa Koppen Climate Type
Open the record for dataset details and reuse information.
Supplementary Material: Perceived Legitimacy of Agricultural Support Schemes: An Investigation Using Factorial Survey Experiments
Open the record for dataset details and reuse information.
Scientific papers assessing the role of bats as suppressors of agricultural pests
<p>This database is part of the supplementary material of the article entitled "<strong>Pest suppression by bats and management strategies to favour it: a global review</strong>", published in the journal Biological Reviews. It illustrates the articles assessing the role of bats in agriculture as suppressors of pests insects, located by the first literature search (LS1), and the main information extracted.</p> <p> </p> <p>Methodology: </p> <p>We conducted a first literature search (LS1) in ISI <em>Web of Science</em> of indexed articles and book chapters in English, using the following terms in the TOPIC field (searching both the title and the abstract): ‘agricultur*’, ‘pest’, ‘insect*’ and ‘bat*’ or ‘bats’. The search was performed by C. T.-C. in October 2022 obtaining 173 references, of which only 66 of were considered for the review after checking the whole text. We only included articles directly studying and assessing the effect of bats as pest controllers, either as direct predators of one or several pests (providing or not evidence of predation), evaluating their effect as top predators or quantifying economically their suppressive effect. We excluded any work that only mentioned the potential of bats as insect pest suppressors as an indirect topic of their research. For each of the included studies, we extracted information following a semi-structured questionnaire: (<em>i</em>) the year and country where the study was performed; (<em>ii</em>) the agroecosystem type studied; (<em>iii</em>) the insect pest species detected and the bat species on which the study was focused; (<em>iv</em>) whether predation of bats upon pest species was demonstrated; (<em>v</em>) whether the study demonstrated a top-down effect of bats on that agroecosystem; (<em>vi</em>) whether the benefits of bat ecosystem services were quantified economically, and what methods were used to estimate the economic value of bats as pest suppressors; and (<em>vii</em>) the conservation and management strategies proposed in the articles and their potential application.</p>
Interactions between bat species and agricultural pests and disease vectors in northern Madagascar
<p>This table is part of the PhD thesis of Carme Tuneu-Corral, entitled '<strong>Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation</strong>'. It is the <span>Table A4.4</span> of the supplementary material of the Chapter 5 '<em>Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar</em>', and illustrates the arthropod species detected in bat faecal sampels and classified as insect pests or disease vectors, and their interactions with bat species. Information on the bold percentage of similarity, study site, habitat type and pest type.</p>
Replication Package for: "Agricultural Technological Change, Female Earnings, and Fertility: Evidence from Brazil"
<p>Moorthy, Vivek 2024. "Agricultural Technological Change, Female Earnings, and Fertility: Evidence from Brazil." <em>The Economic Journal.</em></p>
List of agricultural pests and disease vectors detected in the diet of insectivorous bats in northern Madagascar
<p>This table is part of the PhD thesis of Carme Tuneu-Corral, entitled '<strong>Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation</strong>'. It is the <span>Table A4.3</span> of the supplementary material of the Chapter 5 '<em>Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar</em>', and shows the list of agricultural pests (known and potential) and disease vectors detected in the diet of insectivorous bats, BOLD ID percentage (similarity), and information on the type of crops attacked or disease transmitted by them in Madagascar and/or continental Africa.</p> <p>Methodology:</p> <p><span>To evaluate whether bats were consuming agricultural pests or disease vectors, we only considered prey identified to species level. Using published scientific literature, we classified each arthropod species in one of the following categories: ‘non-pest prey’, ‘known human-disease vector’ (species confirmed as human-disease vector in Madagascar), ‘known livestock-disease vector’ (species confirmed as livestock-disease vector in Madagascar), ‘potential human-disease vector’ (species not confirmed as human-disease vector in Madagascar, but considered as such in continental Africa), ‘potential livestock-disease vector’ (species not confirmed as livestock-disease vector in Madagascar, but considered as such in continental Africa), ‘known agricultural pest’ (species confirmed as agricultural pest in Madagascar), ‘potential agricultural pest’ (species not confirmed as agricultural pest in Madagascar, but considered as such in continental Africa).</span></p> <p> </p>
Supplementary material 1 from: Cardarelli E, Musacchio A, Montagnani C, Bogliani G, Citterio S, Gentili R (2018) Ambrosia artemisiifolia control in agricultural areas: effect of grassland seeding and herbivory by the exotic leaf beetle Ophraella communa. NeoBiota 38: 1-22. https://doi.org/10.3897/neobiota.38.23562
Tables S1–S2, Figures S1–S2 : Explanation note: Table S1. Soil characteristics in the three investigated sites; Table S2. O. communa density on non-target species throughout summer 2015; Figure S1. A. artemisiifolia soil seed bank in the three sites; Figure S2. A. artemisiifolia traits in experimental plots.
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
Supporting data and code for: "Global unsustainable virtual water flows in agricultural trade"
<p>Supporting data and code for: "<strong>Global unsustainable virtual water flows in agricultural trade"</strong></p> <p>This file contains:</p> <p>-The code used to process trade and production data.</p> <p>- Crop- and country-specific unsustainable virtual water flows for years 2000 and 2015.</p> <p>-Crop- and country-specific sustainable and unsustainable irrigation water consumption.</p> <p> </p>
IMPACTS OF AGRICULTURE MECHANIZATION
<p>Agricultural mechanization, the application of machinery to agricultural tasks, has been a cornerstone of agricultural development for centuries. As populations grow and demand for food increases, the efficiency and productivity of agricultural practices become increasingly critical. This paper examines the benefits of agricultural mechanization, focusing on its potential to significantly increase production and reduce labor costs.</p>
A Brief History of Menominee Agriculture: Historic Perceptions, Late Prehistoric Realities, and Ancestral Practices for a Sustainable Future (recording)
<p>William G. Gartner, a geoarchaeologist at the University of Wisconsin-Madison, delivered this talk on July 31st, 2024, at the Ethical Open Science for Past Global Change Data 2024 Symposium, in Keshena, Wisconsin, on the lands of the Menominee Nation. </p>
The C4AI Knowledge Graph on Agricultural Prices (C4AI-KGAP)
<p>This version includes a file with SPARQL queries.</p>
Jet stream controls on driven European climate extremes and agricultural agriculture
<p>The code is used to analyze data and produce the main figures for the manuscript (Xu et al., Jet stream controls on European climate and agriculture since 1300 CE. Nature, 2024, https://doi.org/10.1038/s41586-024-07985-x). We used three temperature-sensitive tree-ring maximum chronologies from Europe to reconstruct the North-Atlantic-Europe Jet Stream Latitude (EU JSL). The EU JSL can capture the variability of dipolar patterns in temperature and precipitation extremes between Southern Europe and Northern Europe in summer (July-August). We extended the EU JSL to 1300 CE based on a multiple linear regression transfer function, which can explain the total variance of about 38.5% over the instrumental period (1945-2005, from NCEP reanalysis dataset V1.0). We then explore the relationships between EU JSL and temperature and precipitation over a long-term scale. We also explored the relationships between EU JSL extremes, crop failure events, and some social events over the past seven centuries. We found that the climate and societal extremes have been influenced by a summertime climatic dipole between northwestern and southeastern Europe, driven by EU JSL. Using the reconstruction, we explore relationships between EU JSL and climate and societal extremes using independent historical documentary datasets. We highlight the imprint of the EU JSL climate dipole on not only historical climate extremes, but also on the dipole's biophysical (e.g., grape harvest, wildfire), economic (e.g., wine quality and grain price), and even demographic (e.g., mortality and epidemics) impacts.</p> <p>The code is for the data analysis and visualization. We used R 4.2 version in the Windows 11 platform. Before re-running the code, please read the following instructions:</p> <p>1. Download all the input data and the R folder (all of the code). Please put the input data into a folder named input. We uploaded the temp and precip reconstruction data for the European domain.<br>2. Create a similar structure for the folders.<br>3. Before running the code, please unzip the crop data in the folder "./input/crop/*.zip", two large crop NetCDF fromat dataset.<br>4. Before running the main code "test all.R", please set you-work-path and run "setwd ("YOURPATH")" command line. <br>5. Some results or data in the output folder can be produced when run the code, you can also directly input them from the input folder in the next step to save time.<br>6. For the visualization, some of the arrangements are finished in Adobe Illustrator or Adobe Photoshop.<br>7. This is the main code for the manuscript, we would be improved or modified during the peer review.<br>8. If you have any questions or warnings during the re-run, please get in touch with me (guobaoxu@nwu.edu.cn; xgb234@lzb.ac.cn).</p> <p>If you have any suggestions or comments, please also let me know.</p> <p>Best wishes,<br>Guobao</p>
Soil and environmental data for "Interacting management effects on soil microbial alpha and beta diversity in Swiss agricultural grassland"
<p>This data shows the soil, environmental, and management data of 86 grassland sites that were sampled within the Canton of Solothurn, Switzerland. This data was used in the manuscript by F.J. Richter, R. Feola Conz, A. Lüscher, N. Buchmann, K.H. Valentin and M. Hartmann (2024): Interacting management effects on soil microbial alpha and beta diversity in Swiss agricultural grassland, which is published in the Journal of Applied Soil Ecology. </p>
Determinants of Agricultural Technology Adoption in Urban Vegetable Production: A Case Study of Chelencko and Kullubi Cities
Open the record for dataset details and reuse information.
Impacts of Agriculture and Snow Dynamics on Catchment Water Balance in the U.S. and Great Britain
<p>Data required to reproduce the figures reported in the paper.</p> <p> </p>
EPJSOIL SERENA WP3 T3.3 : France climatic and agricultural change modelling dataset (Naizin)
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. </p> <p>Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of agricultural management. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided.</p> <p>Naizin’s soil data come from Walter et al. (1993, 1996, 1998), climatic data were obtained from SAFRAN climatic data provided by Météo-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. All input data are available as part of this dataset.</p> <p> </p>
Data from: Forest-type specialization strongly predicts avian responses to tropical agriculture
<p>Species' traits influence how populations respond to land-use change. However, even in well-characterized groups such as birds, widely studied traits explain only a modest proportion of the variance in response across species. Here, we show that associations with particular forest types strongly predict the sensitivity of forest-dwelling Amazonian birds to agriculture. Incorporating these fine-scale habitat associations into models of population response dramatically improves predictive performance and markedly outperforms the functional traits that commonly appear in similar analyses. Moreover, by identifying habitat features that support assemblages of unusually sensitive habitat-specialist species, our model furnishes straightforward conservation recommendations. In Amazonia, species that specialize on forests along a soil–nutrient gradient (i.e. both rich-soil specialists and poor-soil specialists) are exceptionally sensitive to agriculture, whereas species that specialize on floodplain forests are unusually insensitive. Thus, habitat specialization per se does not predict disturbance sensitivity, but particular habitat associations do. A focus on conserving specific habitats that harbour highly sensitive avifaunas (e.g. poor-soil forest) would protect a critically threatened component of regional biodiversity. We present a conceptual model to explain the divergent responses of habitat specialists in the different habitats, and we suggest that similar patterns and conservation opportunities probably exist for other taxa and regions.</p>
Data from: Testing the benefits of conservation set-asides for improved habitat connectivity in tropical agricultural landscapes
1. Habitat connectivity is important for tropical biodiversity conservation. Expansion of commodity crops, such as oil palm, fragments natural habitat areas, and strategies are needed to improve habitat connectivity in agricultural landscapes. The Roundtable on Sustainable Palm Oil (RSPO) voluntary certification system requires that growers identify and conserve forest patches identified as High Conservation Value Areas (HCVAs) before oil palm plantations can be certified as sustainable. We assessed the potential benefits of these conservation set-asides for forest connectivity. 2. We mapped HCVAs and quantified their forest cover in 2015. To assess their contribution to forest connectivity, we modelled range expansion of forest-dependent populations with five dispersal abilities spanning those representative of poor dispersers (e.g., flightless insects) to more mobile species (e.g., large birds or bats) across 70 plantation landscapes in Borneo. 3. Because only 21% of HCVA area was forested in 2015, these conservation set-asides currently provide few connectivity benefits. Compared to a scenario where HCVAs contain no forest (i.e., a no-RSPO scenario), current HCVAs improved connectivity by ~3% across all dispersal abilities. However, if HCVAs were fully reforested, then overall landscape connectivity could improve by ~16%. Reforestation of HCVAs had the greatest benefit for poor to intermediate dispersers (0.5-3 km per generation), generating landscapes that were up to 2.7 times better connected than landscapes without HCVAs. By contrast, connectivity benefits of HCVAs were low for highly mobile populations under current and reforestation scenarios, because range expansion of these populations was generally successful regardless of the amount of forest cover. 4.Synthesis and applications. The RSPO requires that HCVAs be set aside to conserve biodiversity, but HCVAs currently provide few connectivity benefits because they contain relatively little forest. However, reforested HCVAs have the potential to improve landscape connectivity for some forest species (e.g., winged insects), and we recommend active management by plantation companies to improve forest quality of degraded HCVAs (e.g., by enrichment planting). Future revisions to the RSPO's Principles and Criteria (P&C) should also ensure that large (i.e., with a core area >2 km2) HCVAs are reconnected to continuous tracts of forest to maximise their connectivity benefits.
Supporting Data and Code for "Managing to Climatology: Improving semi-arid agricultural risk management using crop models and a dense meteorological network"
<p>Without reliable seasonal climate forecasts, farmers and managers in other weather-sensitive sectors might adopt practices that are optimal for recent climate conditions. To demonstrate this principle, crop simulation models driven by a dense meteorological network were used to identify climate-optimal planting dates for U.S. Southern High Plains (SHP) un-irrigated agriculture. This method converted large samples of SHP growing season weather outcomes into climate-representative cotton and sorghum yield distributions over a range of planting dates. Best planting dates were defined as those that maximized median cotton lint (April 24) and sorghum grain (July 1) yields. Those optimal yield distributions were then converted into corresponding profit distributions reflecting 2005-2019 commodity prices and fixed production costs. Both crop's profitability under variable price conditions and current SHP climate conditions were then compared based on median profits and loss probability, and through stochastic dominance analyses that assumed a slightly risk-averse producer.</p>
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.