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.
52
datasets available to search
ShareScore release 0.9.0
Dataset results
52 results for “selective harvesting”
Data from: Evolutionary impact of size-selective harvesting on shoaling behavior: Individual-level mechanisms and possible consequences for natural and fishing mortality
Open the record for dataset details and reuse information.
Data and scripts from: Experimental evidence of size-selective harvest and environmental stochasticity effects on population demography, fluctuations, and nonlinearity
Open the record for dataset details and reuse information.
Fig. 6 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 6. Relocations of the four female individuals F1, F2, F3 and F4. F1 was tracked from the 17th to the 19th of September 2017. F2 was tracked from the 19th to the 21th of September 2017. F3 was tracked from the 24th to the 29th of September 2017. F4 was tracked from the 29th of September to the 2nd of October 2017. The dashed red line (F4) represents a possible migration route for the female F4.
Fig. 5 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 5. Wandering areas of the four females (top) and four males (bottom) tracked from mid-September to mid-October of 2017. These ranges were calculated on RStudio with the package HabitatHR. The maps on the left were produced using 50% of the relocations, while the maps on right were produced using 80% of the relocations. These two territory sizes (50% and 80%) help picturing the possible wandering surfaces that may have been used by the tracked individuals. Their actual home ranges were probably between these two representations. Note that female F4 had an additional wandering area outside the presented map (indicated by the arrow on the bottom of the top-right image), when 80% of the relocations were included.
Fig. 1 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 1. Map representing the location of the study area. The middle of the main tall sedge meadow is found at the DMS coordinates 46°11'24.4"N 5°57'30.1"E. The study area is situated in the Department Ain, in Eastern France, near the French-Swiss border.
Fig. 3 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 3. Set up of the INRA traps, installed in mid-August of 2017 on 60 cm tall sticks, and baited with sunflower seeds. The transect represented here was located in the sedge patch on the South side of the stream la Chanvière. The yellow flowers behind the Caricion elatae are the American goldenrod extending nearly to the edge of the forest.
Appendix 1 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Appendix 1 Secondary transects (red lines) placed in late October to early November of 2017, after the radiotracking event. These transects were set up in areas to which harvest mice appeared to migrate to. Nest-searching was also done (grey areas). The aim was to know if other individuals were present or not in these areas.
Fig. 4 in Autumn habitat selection of the harvest mouse (Micromys minutus Pallas, 1771) in a rural and fragmented landscape
Fig. 4. Accumulated number of marked individuals captured during the CMR event. In the first 5 CMR days, the 71 traps were open 4 h in the evening during the dusk, and 4 hours in the morning during the dawn. The 8 following days (from day 6 to day 14), the traps were open 4 h during the day and 4 h at dusk. The population estimate levelled at 12 individuals, which corresponds to the total number of marked individuals captured during the 14 trapping days.
Data from: Size-selective harvesting fosters adaptations in mating behavior and reproductive allocation, affecting sexual selection in fish
Open the record for dataset details and reuse information.
Data from: The evolutionary legacy of size-selective harvesting extends from genes to populations
Open the record for dataset details and reuse information.
Expression data from select tissues harvested from C57BL6 mice
GEO Series GSE6793. Mus musculus. 10 samples. Type: Expression profiling by array.
MIMOSA: dataset behind the interactive tool for selection of nut harvesting machinery in agroforestry context (MachInes en Methodes voor de OogSt van noten in Agroforestry)
<p>This dataset contains all the information which is used to run the calculations in the interactive decision support tool "MIMOSA" (MachInes en Methodes voor de OogSt van noten in Agroforestry), intended to select nut harvesting machinery in an agroforestry context. This tool is developed for use in Belgium and The Netherlands, and is currently only available in Dutch.</p> <p>In recent years, a growing interest in agroforestry systems combined with nut production has been observed in Belgium and the Netherlands. Thereby, it is important to also pay sufficient attention to the harvesting method, even before the trees are planted. For example, grouped planting of varieties according to harvest time is recommended, or the distance between tree rows also determines the possibility of being able to access the field with certain machines. The use of harvesting machines usually also requires an almost perfectly even surface. But the harvesting method itself can also save a lot of time and money.</p> <p>When harvesting, one can wait until the green husk bursts and the nut falls down naturally or use shaking machines to make the nuts fall faster and at the same time. A choice also has to be made on whether to use nets under the trees or not. If nets are not used, consideration should be given to what other method of harvesting can be used: manually for smaller plots or with different types of pick-up machines or a suction system for larger plantings.</p> <p>The objective of MIMOSA is to support making the right choices considering scale and farm specific preferences, labour availability, etc.</p> <p><span>Based on your personal data, this interactive calculation tool gives you targeted advice for cost-efficient harvesting of your acreage of nuts. Together with the fixed parameters (working width, harvesting speed, fuel consumption, purchase price, depreciation period and machine loading capacity), it then calculates the cost price of harvesting your acreage with different machines for your specific situation (both with and without shaker). Of course, we do want to stress that this is a proposal based on theoretical calculations and only a limited number of machines are included in this calculation tool. It therefore remains important to check for yourself whether the proposed machines are suitable for your farming system.</span></p> <p>The use of the MIMOSA tool is free, and it can be accessed through this link <a href="https://bdbnet.bdb.be/pls/apex/f?p=147:10">https://bdbnet.bdb.be/pls/apex/f?p=147:10</a></p> <p>The background info sheet can be read here: <a href="https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines">https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines</a> (in Dutch).</p> <p>More info? Contact us through info@agroforestryvlaanderen.be </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.