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.
28
datasets available to search
ShareScore release 0.9.0
Dataset results
28 results for “seeding rate”
RIV07 Seeding rates woody removal of a tallgrass prairie stream and riparian zone after a decade of woody vegetation removal
In fall of 2010 in watershed N2B ( 39.088976°, -96.588599°), we established plant community plots to assess the potential ability of the riparian zone to shift to a grassland state based on cutting alone and cutting with replanting. The three treatments were 1) naturally open riparian grassland before the removal, 2) areas cleared of woody vegetation, and 3) areas cleared of woody vegetation and seeded with prairie plant species. The addition of the seeded treatment was designed to address if recovery of grassland vegetation is hindered by propagule limitation. The seeded and non-seeded removal plots were adjacent to each other and randomly assigned. In each community type, there were four plots, each of which was 10 m parallel along and 3 m perpendicular to the stream channel. Each plot had four plant composition transects along which we sampled four one m2 subplots along each transect. Vegetative cover of vascular plant species was determined using a modified Daubenmire scale (Gibson and Hulbert 1987).
Individual and community flowering phenology, seed counts and pollinator visitation rates in shrub and open plots across Niwot Ridge, 2019 - 2021.
Climate-change induced alterations in environmental conditions in the alpine tundra has led to the expansion of woody shrubs, known as “shrubification.” Shrubification is thought to change microclimatic conditions, potentially leading to changes in plant community composition. Shrubification has been taking place at Niwot Ridge, a Long Term Ecological Research site nestled in the mountains of Colorado, for the past 40 years. Thus far, Niwot Ridge has seen some change in alpine plant communities due to shrubification, and changes in plant reproductive capacity and success could lead to future alterations of community composition. One important aspect in plant reproductive success is the timing of flowering, known as flowering phenology. Flowering phenology is controlled partially by environmental conditions, and thus is somewhat plastic for many species. In the first part of my thesis, I explore how shrubification may be causing changes in flowering phenology for 21 different plant species in the alpine tundra community at Niwot Ridge. I conducted an observational study over three years, monitoring the number of flowers present in 54 pairs of shrub-influenced and open plots, totaling 108 plots. I found that there is no difference in the flowering phenology between open and shrub-influenced plots. There is a measurable difference in the number of flowers produced between shrub and open plots, with open plots having more flowers on average, This difference is likely due to there being fewer plants in shrub-influenced plots. A second aspect explores shrub effects on the reproductive success of five different alpine species. In the field season of 2021, I took seeds from these five species from 12 pairs of shrub and open plots, totaling 24 plots. I counted and weighed the seeds to determine reproductive success; there was no difference in reproductive success between shrub and open plots.
Figure 7 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 7. Annual, perennial, dicot, and monocot weed biomass in each weed management treatment pooled across fields. Similar letters above bars indicate no significant difference using separate Fisher's LSD tests (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 6 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 6. Diversity indices of weed communities for all treatments. Weed by species biomass was pooled across fields.Similar letters above bars indicate no significant difference using separate Fisher's LSD tests (P> 0.05).Error bars are standard errors and treatments are abbreviated:NC,nontreated control; SR,seeding rate; IM, interrow mower;WZ,Weed Zapper™.
Figure 5 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 5. Weed biomass in each weed management treatment pooled across all site-years.Biomass was sampled in mid-August after all management tactics had been applied. Similar letters above bars indicate no significant difference using Fisher's LSD test (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 4 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 4. Soybean density in August after all weed management treatments were applied. Data were pooled across all site-years. Similar letters above bars indicate no significant difference using Fisher's LSD test (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 8 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 8. Soybean yield from each weed management treatment pooled across fields. Yield is dry weight corrected to 13% moisture. Similar letters above bars indicate no significant difference using Fisher's LSD test (P> 0.05). Error bars are standard errors, and treatments are abbreviated: NC, nontreated control; SR, seeding rate; IM, interrow mower; WZ, Weed Zapper™.
Figure 1 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 1. The interrow mower used in this experiment, attached to a John DeereṜ 5100R tractor with a three-point hitch. The mower is powered with a hydraulic system and was custom made by IRM X4, R-Tech Industries (Homewood, MB, Canada).
Figure 2. The model 6R30 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 2. The model 6R30 Weed Zapper™ used in this experiment. The generator is attached to the back of a John DeereṜ 5100R tractor with a three-point hitch. The 4.6-m electric copper boom is attached to the front of the tractor with a three-point hitch. The Weed Zapper™ was purchased from Old School Manufacturing (Sedalia, MO, USA).
Figure 3 in High seeding rates, interrow mowing, and electrocution for weed management in organic no-till planted soybean
Figure 3. Monthly temperature and precipitation in Aurora, NY, USA, in 2021 and 2022. Pink lines indicate 30-yr average.
Data for article Pesticide seed dressings can affect the activity of various soil organisms and reduce decomposition rate of plant material, BMC Ecology
<p>Raw data for article "Pesticide seed dressings can affect the activity of various soil organisms and reduce decomposition rate of plant material" published in BMC Ecology</p>
Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient
<b>Description: </b><p>Seed perdation and dispersal experiments</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/72"><b>Partitioning Seed Dispersal Rate Amongst Vertebrates Vs Invertebrates Along a Land-Use Gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=77">here</a></p><p><b>Data worksheets: </b>There are 1 data worksheets in this dataset:</p><ol><li><p><b>Seed removal experiments</b> (Worksheet Data)</p><p>Dimensions: 904 rows by 13 columns</p><p>Description: Experimental seed removal trials. Each trial consisted of 20 pumpkin seeds being placed on a plate, with seed fates ascertained the following day.</p><p>Fields: </p><ul><li><b>Location</b>: SAFE project sample site (Field type: Location)</li><li><b>Point </b>: SAFE project sample site (Field type: ID)</li><li><b>Date</b>: Date seeds were placed in field (Field type: Date)</li><li><b>Treatment</b>: Experimental treatment (Field type: Categorical)</li><li><b>NPlacement</b>: Unknown variable (Field type: ID)</li><li><b>RemainUneat</b>: How many seeds remained on the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovUneat</b>: How many seeds were removed from the plate and had no evidence of having been eaten? (Field type: Numeric)</li><li><b>RemainEat</b>: How many seeds remained on the plate but had evidence of having been eaten? (Field type: Numeric)</li><li><b>RemovEat</b>: How many seeds were removed from the plate and also had evidence of being eaten? (Field type: Numeric)</li><li><b>RemovUnknown</b>: How many seeds were removed from the plate and had an unknown fate? (Field type: Numeric)</li><li><b>Rain</b>: How heavily did it rain last night? 0 being no rain and 5 being torrential rain (Field type: Numeric)</li><li><b>TreatmentSuccessFail</b>: Was the treatment successful? (Field type: Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2013-05-07 to 2013-07-27</p><p><b>Latitudinal extent: </b>4.6350 to 4.7523</p><p><b>Longitudinal extent: </b>116.9632 to 117.5934</p>
Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones"
<p>Data used in the GRL paper titled "Climatology of Tropical Cyclone Seed Frequency and Survival Rate in Tropical Cyclones" by Ikehata and Satoh</p> <p>Please download and decompress the zip file. We describe details of this dataset in "readme.txt".</p>
Data from: Spatiotemporal variation in selection on floral traits related to abortion rate, predispersal seed predation, and fitness variance
Open the record for dataset details and reuse information.
Optimum seeding rate for biomass sorghum in response to harvesting and planting dates in the Mid-Atlantic regions
Open the record for dataset details and reuse information.
Greater landscape-scale forest cover and animal-mediated seed dispersal syndromes associate with faster recovery rates in restoring tropical Andean forests
Open the record for dataset details and reuse information.
Data from: Trait-associated loss of frugivores in fragmented forest does not affect seed removal rates
Seed dispersal by frugivorous animals forms the basis for regeneration of numerous plant species. Habitat fragmentation has been found to be one major factor perturbing frugivore communities and dependent plant species. Yet, community-wide consequences of fragmentation for both frugivore and plant communities are still hardly understood. Here, we studied the effects of habitat fragmentation on the seed removal by frugivorous birds and mammals from nine fleshy-fruited plant species in Białowieża Forest (Eastern Poland). This last relict of old-growth lowland forest in Europe poses an exceptional reference site for studying the impact of habitat fragmentation on seed dispersal processes in temperate forest ecosystems. In particular, (i) we tested for associations between forest fragmentation and response traits of frugivores, that is forest specialization and body mass; (ii) we studied the relationship between frugivore response and effect traits, that is centrality (number of consumed plant species) and interaction type (mutualistic vs. antagonistic); and (iii) we assessed the feedback of fragmentation-induced changes on plant–frugivore interactions and seed removal rates. We found that fragmentation led to shifts in the frugivore community, associated with the response traits forest specialization and body mass, with fewer forest specialists and large-bodied frugivores in fragmented than in continuous forests. However, forest generalists and small-bodied frugivores were more central in the plant–frugivore associations than forest specialists and large-bodied frugivores. Therefore, the loss of vulnerable species did not result in reduced seed removal rates in fragmented compared with continuous forest. Synthesis. These results indicate that seed removal may be relatively robust in spite of shifts in the frugivore community in forest fragments. The correlation between response and effect traits of frugivores highlights the importance of forest generalists and small-bodied frugivores for maintaining dispersal processes in fragmented forests in temperate regions. Yet, future studies should aim at quantifying the consequences of seed disperser loss on other aspects of dispersal, such as long-distance dispersal, spatial patterns of seed deposition, seed germination and plant regeneration.
Data from: Rye planting date impacts biomass production more than seeding rate and nitrogen fertilizer
<p>This zipped folder contains the code and datasets used for an experiment conducted over six years (2015–2020) at the Wiregrass Research and Extension Center in Headland, AL to examine rye biomass production. Treatments included four planting dates (late October, early November, late November, and early December), two seeding rates ( 67 and 101 kg ha<sup>-1</sup>), and four nitrogen rates (0, 34, 67, and 101 kg ha<sup>-1</sup>) replicated four times for a total of 128 observations each year. Measured and/or calculated variables from the data set included biomass, total C and N concentrations for the plant material, C:N ratio, N uptake values, as well as cost info for the biomass. In addition, there are three years of peanut yield data (2015, 2017, 2019) and only two years of cotton yield data (2016, 2020). No cotton data was collected for 2018 due to hurricane damage. Initial and final soil total C values were also measured across the 0 and 101 kg N ha<sup>-1 </sup>rates for the 67 kg ha<sup>-1</sup> seeding rate. </p>
Data from: Rye planting date impacts biomass production more than seeding rate and nitrogen fertilizer
Open the record for dataset details and reuse information.
Data from: Trait-associated loss of frugivores in fragmented forest does not affect seed removal rates
Open the record for dataset details and reuse information.
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.