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”
Figure 6 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 6 Sampling Philosciamuscorum in wheat (pitfall traps). Importance of hedges and woods for inducing the presence of the species in the studied plots. Key: Dark bar: P.muscorum in the plot. Light gray bar: P.muscorum in the borders of the plot (hedges/wood). Codes were expressed for each plot: the first three letters corresponded to the name of the location, the two following numbers to the French department (16: Charente; 86: Vienne; 79: Deux Sèvres; 36 (1 and 2): Indre).
Figure 9 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 9 Density of Armadillidiumvulgare during 3 years in the same field plots. Samples were collected in October of each year before the sowing of summer crops (from Larsen et al. 2007). Abbreviation: GU: ground under.
Figure 3 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 3 Number of isopods collected by hand-searching in three different types of grasslands in western France. The two sites differ in farming intensity: Lusignan has experienced intensive practices over many years, whereas Fors is in a zone of mixed farming, with a more recent history of intensification. Note the different scales in the y axes (from Souty-Grosset et al. 2005a).
Figure 2 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 2 Distribution of isopod species in different types of habitat. A Forest B Grassland C Connections: hedges D Compost E Humid zones. Shannon (H') and equitability (R') indices are written below each graph (from Souty-Grosset et al. 2008).
Figure 1 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 1 Conceptual diagram illustrating some of the ways in which agricultural practices can influence various aspects of isopod ecology and how these might then potentially impact on ecosystem functions and ecosystem services.
Figure 5 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 5 Land cover map with sampling sites in Plaine Mothaise, central-western France. Land cover features of the study site were determined using aerial photographs (Google Earth) and field inspections. Linear characteristics from the landscape were distinguished such as riparian, hedge, continuous and intermittent vegetation. The final categories obtained are Cultivation (crops), Grassland, Poplars, Types of connection, roads and urban. Landscapes were mapped using Arcmap 9.3 (ESRI, 2004) as a main geographical information system. Black dots indicate sites of pitfall trap sampling.
Figure 7 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 7 Growth of adult Armadillidiumvulgare fed with different types of leaf litter. A soybean B wheat C sunflower D pasture. Solid line: Linear growth model, d dashed lines: 95% confidence interval of the model (from Faberi et al. 2011).
Figure 8 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 8 Mortality (Kaplan-Meier method) of adult Armadillidiumvulgare feeding on different types of leaf litter: soybean, wheat, sunflower, and pasture during development (from Faberi et al. 2011).
Figure 4 from: Souty-Grosset C, Faberi A (2018) Effect of agricultural practices on terrestrial isopods: a review. In: Hornung E, Taiti S, Szlavecz K (Eds) Isopods in a Changing World. ZooKeys 801: 63-96. https://doi.org/10.3897/zookeys.801.24680
Figure 4 Number of isopods collected at Fors in three seasons: spring (black bars), summer (grey bars) and autumn (white bars). Habitat abbreviations: CL: clover, AL: alfalfa, TG: temporary grasslands less than 5 years old PG: permanent grasslands more than 5 years old (PG) (from Souty-Grosset et al. 2005b).
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset4
<p>This dataset contains the data underlying the following publication: Ji Wu, Shi Cheng, Min-Hui Cai, Ya-Ping Wu, Yan Li, Ji-Chun Wu, Ai-Min Li, Wen-Tao Li(2018)</p> <p>Applying UV absorbance and fluorescence indices to estimate inactivation of bacteria and formation of bromate during ozonation of water and wastewater effluent. <em>Water Research. </em> <a href="https://doi.org/10.1016/j.watres.2018.08.030">https://doi.org/10.1016/j.watres.2018.08.030</a></p>
Supplementary data of Agricultural Water Management Evaluation
<p>Supplementary data of Agricultural Water Management Evaluation</p>
Bibliographic collection: agriculture-related LCA research from Scopus database (October, 3, 2023).
<p>Bibliographic collection. Database: Scopus. Search query: The search query: TITLE-ABS-KEY (<em>agr*</em> W/3 (<em>"life cycle analysis"</em> OR <em>"life cycle assessment"</em> OR <em>"life cycle cost*"</em> OR <em>"life cycle impact"</em> OR <em>*lca</em> OR <em>*lcia</em> OR <em>lcc</em>)). Filtering: Only English, article, excl trade journals. Contains 259 articles (adjusted after screening the relevance of titles, abstracts, keywords for the research purposes).</p>
Figure 7 in A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns
Figure 7. The SVM structure used in application two. Similar to AP1, the weights determined during the superoised part of the training are {w0, w1, …, wX̅1}. The output element linearly combines the outputs of the hidden layer with the weights.
Correlation between the availability of supplementary material and raw research data in journals of the Agriculture Multidisciplinary area of WoS
Open the record for dataset details and reuse information.
Food and Agricultural Approaches to Reducing Malnutrition
ClinicalTrials.gov study NCT02505711. IPD Sharing: Not stated. Countries: 0. Publications: 8.
Confirmation of Systemic Autoimmune Diseases in the Agricultural Health Study
ClinicalTrials.gov study NCT00341198. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pilot Subsidized and Culturally-adapted Community Supported Agriculture (CSA) Program
ClinicalTrials.gov study NCT06521411. IPD Sharing: YES. Countries: 1. Publications: 0.
Indigenous Supported Agriculture "Go Healthy"
ClinicalTrials.gov study NCT05773833. IPD Sharing: NO. Countries: 1. Publications: 0.
Latino Youth Agricultural Study
ClinicalTrials.gov study NCT04298632. IPD Sharing: YES. Countries: 1. Publications: 0.
Measurement of Agricultural and Dietary Glyphosate Exposure Among Pregnant Women
ClinicalTrials.gov study NCT04155463. IPD Sharing: NO. Countries: 1. Publications: 0.
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.