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.
10
datasets available to search
ShareScore release 0.7.1
Dataset results
10 results for “residue harvest”
Data from: Estimating maize harvest index and nitrogen concentrations in grain and residue using globally available data
<p class="MsoNormal">Estimates of crop nitrogen (N) uptake and offtake are critical in estimating N balances, N use efficiencies and potential losses to the environment. Calculation of crop N uptake and offtake requires estimates of crop product yield (e.g. grain or beans) and crop residue yield (e.g. straw or stover) and the N concentration of both components. Yields of crop products are often reasonably well known, but those of crop residues are not. While the harvest index (HI) can be used to interpolate the quantity of crop residue from available data on crop product yields, harvest indices are known to vary across locations, as do N concentrations of residues and crop products. The increasing availability of crop data and advanced statistical and machine learning methods present us with an opportunity to move towards more locally relevant estimates of crop harvest index and N concentrations using more readily available data. This dataset includes maize field experiment data. It is a culmination of summary statistic data collected from the literature as well as raw data requested from various researchers and organisations from around the world. These data will enable more locally relevant estimates of crop nutrient offtake, nutrient balances and nutrient use efficiency at national, regional or global levels, as part of strategies towards more sustainable nutrient management.</p>
Data from: Estimating maize harvest index and nitrogen concentrations in grain and residue using globally available data
Open the record for dataset details and reuse information.
Figure 8 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 8 - a–d Colour images of abundant species: a Quedius labradorensis Smetana b Gabrius brevipennis (Horn) c Pseudopsis subulata Herman d Pterostichus punctatissimus (Randall).
Figure 7 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 7 - a–d Colour images of abundant species: a Atheta capsularis Klimaszewski b Atheta klagesi Bernhauer c Atheta strigosula Casey d Tachinus fumipennis (Say).
Figure 5 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 5 - Boxplots depicting catch rates (beetles/day) for eight abundant species collected from experimental plots where forest was a clearcut and deadwood was left intact (SOH) b clearcut with quantity of deadwood reduced (WTH), and c uncut forest (Control). Bold line depicts median value, box denotes 25–75% quantile range, whiskers correspond to 1.5 times the interquartile range.
Figure 6 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 6 - Multivariate regression tree based on sum-of-squares depicting differences in beetle assemblages among experimental plots where forest was a clearcut with stem-only harvested (SOH) b clearcut with whole-tree harvested (WTH), and c uncut forest (Control). The tree was selected based on 935/1000 cross-validations and explains 64% of the variance. Both experimental treatment and deadwood volumes provided equivalent improvement at each split. We have labelled splits using experimental treatments.
Figure 4 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 4 - Boxplots depicting overall catch rates (beetles/day) where forest was a clearcut and deadwood was left intact (SOH) b clearcut with quantity of deadwood reduced (WTH), and c uncut forest (Control). Bold line depicts median value, box denotes 25–75% quantile range, whiskers correspond to 1.5 times the interquartile range.
Figure 3 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 3 - Boxplots showing volume of fine and coarse woody debris in stem-only harvested plots (SOH), whole-tree harvested plots (WTH), and in uncut forest (Control). Bold line depicts median value, box denotes 25–75% quantile range, whiskers correspond to 1.5 times the interquartile range.
Figure 1 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 1 - Schematic representation of treatments with pitfall trap locations, Forêt Montmorency, Quebec.
Figure 2 from: Klimaszewski J, Work T, Thiffault E, Bourdon C, Pare D, Bousquet Y, Venier L, Titus B (2013) Initial responses of rove and ground beetles (Coleoptera, Staphylinidae, Carabidae) to removal of logging residues following clearcut harvesting in the boreal forest of Quebec, Canada. ZooKeys 258: 31-52. https://doi.org/10.3897/zookeys.258.4174
Figure 2 - Photographs of experimental plots taken one year following harvest (2012) A, B photos of uncut forests (Control) C stem-only harvested plot (SOH) (operational level) D whole-tree harvested plot (WTH).
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.