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.
132
datasets available to search
ShareScore release 0.9.0
Dataset results
132 results for “weed control”
Figure 3 in Adaptations in wild radish (ROphOnus rOphOnistrum) flowering time, Part 2: Harvest weed seed control shortens flowering by twelve days
Figure 3. Changes in the number of seeds m−2 (A, D), the probability of seed capture by harvest weed seed control (HWSC) (B, E), and changes in days to first flower (DFF) (C, F) under weed management system P; HWSC efficacy (up to 20 yr) was increased from 75% (___) to 95% (-○-) (A–C); the level of fruit abscission (up to 20 yr) was changed from low (37%) (-○-) to high (74%) (—) (D–F). Note the variation between replicates was small as long as seed numbers are above 1 m−2; below that level, genetic changes in one or two plants had a more significant effect on the results.
Figure 1 in Adaptations in wild radish (ROphOnus rOphOnistrum) flowering time, Part 2: Harvest weed seed control shortens flowering by twelve days
Figure 1. Showing the number of seeds produced by weeds from each cohort (y axis), dependent on the evolved days to first flower (DFF) (x axis). The peak of each curve indicates the ideal DFF, with earlier cohorts taking longer to flower. (A) The standard farming system, before introduction of harvest weed seed control (HWSC). The range in ideal DFF across the different cohorts is approximately 15 d for Figure 1A. (B–D) How the various weed management systems affect the number of live seeds (avoiding HWSC) for weed management systems E (B), D (C), and P (D). In Figure 1B–D, the range in ideal DFF across the different cohorts is approximately 50 d.
Figure 2 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 2. Sustainability of the programs with stacked HT traits or residual herbicides, as influenced by application time (PRE and POST) and number of herbicide SOAs on (A) weed density and (B) resistance evolution. Resistance evolution is presented as % individuals that are resistant to at least one of the herbicides excluding H, either in the form of single or multiple resistance.The populations consist of 80% individuals resistant to H initially. Herbicide scenarios are detailed in Table 2. The simulations were set to stop when weed density exceeded 1 plant m−2, hence the incomplete lines of scenario EWM(i).
Figure 1 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 1. Sustainability of the POST-only programs,as influenced by the number of herbicide SOAs and the initial level of quantitative resistance to herbicide H. Cross-resistance between herbicides H and X is included in D–F. Results are presented as the year of weed control failure; bars represent the mean, and error bars represent the range of 100 replicates. Herbicide scenarios are detailed in Table 2. r-HX, correlation coefficient between phenotypic values of H and X.
Fig. 2 in Brazilian collections and laboratory biology of the thrips Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae): a potential biological control agent of the invasive weed Brazilian peppertree (Sapindales: Anacardiaceae)
Fig. 2. Life history stages of the thrips Pseudophilothrips ichini reared on leaves of Schinus terebinthifolia in quarantine at the United States Department of Agriculture, Agricultural Research Service, Invasive Plant Research Laboratory (horizontal bars = 0.5 mm).
Fig. 1 in Brazilian collections and laboratory biology of the thrips Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae): a potential biological control agent of the invasive weed Brazilian peppertree (Sapindales: Anacardiaceae)
Fig. 1. Map showing the distribution of the host Brazilian peppertree, Schinus terebinthifolia, in its native range (black dots) and the thrips Pseudophilothrips ichini (red dots). Thrips introduced to quarantine for life history studies were collected from a population near Ouro Preto, Minas Gerais, Brazil.
Fig. 1 in Utilization of an introduced weed biological control agent, Megamelus scutellaris (Hemiptera: Delphacidae), by a native parasitoid
Fig. 1. Kalopolynema ema (Hymenoptera: Mymaridae) adults that emerged from eggs of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent of waterhyacinth, Eichhornia crassipes. Female (lef) and male (right). Photos taken by Jeremiah Foley, USDA-ARS Invasive Plant Research Laboratory.
Figure 1 Aceria alhagi n in A new Aceria species (Acari:Trombidiformes: Eriophyoidea) from West Asia, a potential biological control agent for the invasive weed camelthorn, Alhagi maurorum Medik. (Leguminosae)
Figure 1 Aceria alhagi n.sp.: AD – Antero-dorsal mite; AL – Antero-lateral view of mite; CG – Coxigenital region of female; em – Empodium; GM – Genital region of male; IG – Internal female genitalia; L1 – Leg I of female; LO – Lateral opisthosoma; PM – Postero-lateral mite. Scale bar: 20μm for AD, AL,CG, GM, IG, LO, PM; 10μm for L1; 5μm for em.
Figure 2 SEM images ofAceria alhagi n in A new Aceria species (Acari:Trombidiformes: Eriophyoidea) from West Asia, a potential biological control agent for the invasive weed camelthorn, Alhagi maurorum Medik. (Leguminosae)
Figure 2 SEM images ofAceria alhagi n. sp.: A – prodorsal shield; B – tarsal empodia on legs I and II; C – ventral view of coxigenital area of female; D – ventral view of coxigenital area of male.
Figure 28 in A remarkable new species of Himalusa Pace from Thailand (Coleoptera, Staphylinidae, Aleocharinae): phytophagous aleocharine beetle with potential for bio-control of skunkvine-related weeds in the United States
Figure 28. Himalusa thailandensis: a swollen petiole of Paederia sp. leaf that contains a larva.
Establishing barriers and needs for increased uptake of alternative weed control across Europe: Survey results from the UK, Latvia, France, Italy, Greece, Sweden and Spain.
<p><span>Reduced use of chemical herbicides and increased uptake of alternative weed control methods will only occur if there is improved understanding of the current barriers and needs of key stakeholders. An online survey about stakeholders’ perspectives and use of alternative weed control methods was carried out with Farmers, Agronomists, Researchers, Policy makers/advisors in 2023. Key barriers and needs were identified to encourage farmers to adopt sustainable weed control approaches which should guide future work addressing the implementation of Integrated Weed Management. Data consists of returned responses of participants across seven countries involved in the OPER8 project. </span></p> <p><span>The OPER8 Project has received funding from The European Union Horizon 2021 Food, Bioeconomy Natural Resources, Agriculture and Environment Programme under grant agreement 101060591</span></p>
Data from: The interplay of intercropping, wildflower strips and weeds in conservation biological control and productivity
<p>Diversifying agroecosystems is instrumental to reduce pesticide use in agriculture. While different diversification practices have the potential to reduce pests, their integration at the agroecosystem level and the evaluation of their multifunctional effects remain limited. Through a two-year field experiment conducted in Germany, we tested whether associating intercropping (faba bean-wheat, followed by breadseed poppy-barley) with pluriannual wildflower strips strengthens the biological regulation of aphid pests and weeds, and enhances cropping system productivity. The contribution of flowering weeds to conservation biological control was also analysed. Aphid colonization rates, but also predator colonization and predation rates, on bean and poppy were consistently lower in intercropping compared to sole cropping. Associating wildflower strips to intercropping enhanced aphid predation in bean-wheat intercropping, and further reduced aphid colonization at 10 m distance from the flower strip but not at 20 m in poppy-barley intercropping. Weed biomass was strongly reduced in intercropping compared to sole crop bean and poppy, and did not significantly affect bean and poppy yields in intercropping. The cover of one flowering weed species, <em>Matricaria recutita</em>, was negatively correlated to aphid colonization rate and positively correlated to predation rate in bean-wheat intercropping. In poppy-barley intercropping, <em>M. recutita</em> flowers were visited more often by predatory hoverflies in plots adjacent to wildflower strips. Finally, land equivalent ratio, measuring land-use efficiency, was consistently higher than 1, and the highest in bean-wheat intercropping associated to wildflower strips. The study shows that intercropping is key to control multiple pests and enhance land-use efficiency, and demonstrates that associating wildflower strips to intercropping can strengthen biological control and cropping system productivity. Flowering weeds, maintained at an acceptable level through intercropping, turn out to be relevant functional biodiversity in interacting with wildflower strips to support natural enemies for conservation biological control.</p>
Delivering metribuzin from biodegradable nanocarriers: Assessing herbicidal effects for soybean plant protection and weed control
<p>The data presents the indicators of soybean and soil health after metribuzin biodegradable nanocarriers and conventional metribuzin. Besides, the uptake and distribution of metribuzin in soil and weed plants (Amaranthus retroflexus) were associated with weed control evaluations.</p>
Figure 3 Alhagi maurorum, plant with typical Aceria alhagi n in A new Aceria species (Acari:Trombidiformes: Eriophyoidea) from West Asia, a potential biological control agent for the invasive weed camelthorn, Alhagi maurorum Medik. (Leguminosae)
Figure 3 Alhagi maurorum, plant with typical Aceria alhagi n. sp. symptoms where the shoot tips
Ancient varieties can help control weed density while preserving weed diversity
<p>Weeds are a major component of agricultural diversity affecting crop yield and ecosystem services. Compared to modern varieties, ancient wheat cultivars (released before 1960) are taller and this trait can be used to control weeds in organic farming systems, especially without herbicides. However, there is still a lack of quantitative assessments of the relative contribution of wheat breeding-history (ancient vs modern varieties) and synthetic inputs in explaining weed density and community structure. In this study, a field experiment was undertaken where five modern and five ancient varieties were either treated as in a conventional system with synthetic inputs (nitrogen, herbicide and fungicide) or as in an organic system without synthetic inputs. Crop light interception and weed density was recorded for 12 weeks until crop maturity. On average, ancient varieties reduced weed density by 17% compared with modern varieties, while the application of chemical inputs was responsible for an average reduction of 37%. The stronger competitive effect of ancient varieties was associated with increased sunlight interception. Species richness was higher in the absence of inputs for some weeks, but not by the end of the experiment. The field-based results illustrated that ancient varieties helped to control weed density in organic systems that do not rely on synthetic inputs to control weeds. Despite this effect of crop interference on weed density, a reduction in weed diversity was not observed. These findings could be of particular interest to promote agrobiodiversity in agricultural systems without synthetic inputs.</p>
Data from: The interplay of intercropping, wildflower strips and weeds in conservation biological control and productivity
Open the record for dataset details and reuse information.
Data from: Wildflower strip establishment supports beneficial ground-dwelling arthropods and pest control but has limited effects on weed seed control and spillover to adjacent fields
Open the record for dataset details and reuse information.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of animal abundance of Lampyridae in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Lampyridae measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of animal abundance of Hippodamia convergens in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Hippodamia convergens measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of animal abundance of Hippodamia tredecimpunctata in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Hippodamia tredecimpunctata measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
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.