Skip to main content
Powered by ShareScore

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.

1,256

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

1,256 results for “plant biomass”

Learn how ShareScore rates datasets ↗
edi40/100

Aboveground Standing Crop Biomass:Nutrient Network A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function

This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).

openCC0May 2021View details →
edi40/100

Plant above and belowground biomass across an N fertilization gradient after 13 years of fertilization:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function

This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).

openCC0May 2022View details →
edi40/100

Plant biomass collection on the Biodiversity Experiment at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2011)

Dataset Abstract The biodiversity gradient experiment is an additional long-term study located within the LTER Main Site complex, in which a series of 21 different experimental treatments vary in plant species diversity. Treatments range from bare soil to single-crop rotations to multiple-crop rotations to annually fallowed fields with early successional plant communities. Plant species richness thus varies from 0 to >15 in any given 3-year rotation cycle. Treatment plots are 9.1×27.4 meters (30×90 feet) replicated in each of 4 randomized blocks. The study site was established in 2000. original data source http://lter.kbs.msu.edu/datasets/112

openCustomFeb 2016View details →
edi40/100

Deep Well transect plant-soil feedback experiment extrapolated biomass data (2014-2016)

This project was conducted from July 2014 to July 2016 to measure plant-soil feedbacks between black grama (Bouteloua eriopoda) and blue grama (Bouteloua gracilis) in patches of different historical stability along the Deep Well transect at the Sevilleta LTER. 

openCC (other)Apr 2019View details →
edi40/100

SGS-LTER Ecosystem Stress Area - Aboveground Biomass: Interactions between individual plant species and soil nutrient status in shortgrass steppe on the Central Plains Experimental Range in Nunn, Colorado, USA 1991

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The effect of plant community structure on nutrient cycling is fundamental to our understanding of ecosystem function. We examined the importance of plant species and plant cover (i.e. plant covered microsites vs bare soil) on nutrient cycling in shortgrass steppe of northeastern Colorado. We tested the effects of both plant species and cover on soils in an area of undisturbed shortgrass steppe and an area that had undergone nitrogen and water additions from 1971 to 1974, resulting in significant shifts in plant species composition.

openOpenJan 2020View details →
edi40/100

SGS-LTER Ecosystem Stress Area - Belowground Biomass: Interactions between individual plant species and soil nutrient status in shortgrass steppe on the Central Plains Experimental Range in Nunn, Colorado, USA 1991

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The effect of plant community structure on nutrient cycling is fundamental to our understanding of ecosystem function. We examined the importance of plant species and plant cover (i.e. plant covered microsites vs bare soil) on nutrient cycling in shortgrass steppe of northeastern Colorado. We tested the effects of both plant species and cover on soils in an area of undisturbed shortgrass steppe and an area that had undergone nitrogen and water additions from 1971 to 1974, resulting in significant shifts in plant species composition. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83317.

openOpenJan 2020View details →
dryad36/100

Mangrove diversity enhances plant biomass production and carbon storage in Hainan Island, China

<p>Mangrove forests, one of the highest carbon density ecosystems, are very different from other forests as they occupy saline and tidal habitats. Although previous studies in forests, shrublands, and grasslands have shown a positive effect of biodiversity on plant biomass and carbon storage, it remains unclear whether this relation to biodiversity also exists in mangrove forests. Here, we evaluate the possible effects of mangrove species diversity, structural characteristics, and environmental factors on mangrove biomass production and carbon storage, using survey data from 234 field plots of 30 transects in the mangrove forests along the coastlines of Hainan Island, China, during 2017 and 2018.We found that mangrove species diversity had a positive effect, not only on mangrove biomass production, but also on soil carbon storage. This positive effect was more strongly evident in the forest communities than in either the shrub communities or forest-shrub mixed communities, with the forests type having the biggest mangrove biodiversity and carbon storage. In addition, the diversity effect was affected by structural characteristics, namely, mangrove biomass increased exponentially with tree stem diameter and decreased with tree density. Furthermore, we observed a resource-dependent mediation of the mangrove ecosystem when linking diversity to biomass. The areas with high soil Nitrogen content and Mean annul precipitation (MAP) showed higher mangrove biomass and carbon storage. This suggests that the spatial pattern of mangrove carbon storage and diversity was driven by both climate factors (MAP) and soil fertility (soil N).Our findings suggest that mangrove forests with greater diversity also have higher carbon storage capacities and conservation potential. Thus, biodiversity conservation is crucial for mangrove to mitigate the greenhouse effect. Our findings strengthen the understanding of the diversity effects on mangrove ecosystem services and have important implications for mangrove restoration and conservation.</p>

opencc-zeroJan 2021View details →
dryad36/100

Data from: Biomass responses of widely and less-widely naturalized alien plants to artificial light at night

<p>Artificial light at night has rapidly increased during the last century, and could potentially affect many ecological processes, from individuals via communities to entire ecosystems. Recent research has shown that artificial light at night may not only affect the behavior of animals but also growth of plants and vegetation composition. However, it is not known yet whether artificial light at night may also affect other global change components such as plant invasions.  </p> <p>Here, we tested how naturalized alien plants respond to artificial light at night, and particularly whether widely naturalized species differ from less-widely naturalized species in their response to artificial light at night. We grew nine taxonomically related pairs of widely naturalized and less-widely naturalized species alone and in competition, with native plants with and without artificial light at night.</p> <p>We found that in the competition treatment, artificial light at night significantly increased the total biomass production per pot, but not the biomass ratio between the naturalized alien plants and the native competitors. Interestingly, although the less-widely naturalized species produced overall significantly less biomass than the widely naturalized species, there was a trend that the less-widely naturalized species increased their biomass more strongly in response to artificial light at night than the widely naturalized species did (<i>P</i> = 0.07).<b> </b></p> <p>Synthesis. Our study shows that although widely naturalized plants produce more biomass than less-widely naturalized plants across different environmental conditions, they took less advantage of artificial light at night. This suggests that artificial light at night might lead to increased spread of currently less-widely naturalized species, at least when artificial light at night continues to increase.</p>

opencc-zeroJan 2021View details →
dryad36/100

Effects of three-dimensional soil heterogeneity and species composition on plant biomass and biomass allocation of grass-mixtures

<p>Soil heterogeneity significantly affects plant dynamics such as plant growth and biomass. Most studies developed soil heterogeneity in two dimensions, i.e. either horizontally or vertically. However, soil heterogeneity in natural ecosystems varies both horizontally and vertically i.e. in three dimensions. Previous studies on plant biomass and biomass allocation rarely considered the joint effects of soil heterogeneity and species composition. Thus, to investigate such joint effects on plant biomass and biomass allocation, a controlled experiment was conducted, where three levels of soil heterogeneity and seven types of species compositions were applied. Such soil heterogeneity was developed by filling nutrient-rich and nutrient-poor substrates in an alternative pattern in pots with different patch sizes (small, medium or large), and species compositions was achieved by applying three plant species (i.e. Festuca elata, Bromus inermis, Elymus breviaristatus) in all possible combinations (growing either in monoculture or in mixtures). Results showed that patch size significantly impacted plant biomass and biomass allocation, which differed among plant species. Specially, at the pot scale, with increasing patch size, shoot biomass decreased, while root biomass and R: S ratio increased, and total biomass tended to show a unimodal pattern, where the medium patch supported higher total biomass. Moreover, at the substrate scale, more shoot biomass and total biomass were found in nutrient-rich substrate. Furthermore, at the community scale, two of the three target plant species growing in monoculture had more shoot biomass than those growing together with other species. Thus, our results indicate soil heterogeneity significantly affected plant biomass and biomass allocation, which differ among plant species, though more research is needed on the generalization on biomass allocation. We propose that soil heterogeneity should be considered more explicitly in studies with more species in long-term experiments.</p>

opencc-zeroJun 2021View details →
dryad36/100

Plant biomass, not plant economics traits, determines responses of soil CO2 efflux to precipitation in the C4 grass Panicum virgatum

<p>1. Plant responses to major environmental drivers like precipitation can influence important aspects of carbon (C) cycling like soil CO<sub>2</sub> efflux (J<sub>CO2</sub>). These responses may be predicted by two independent classes of drivers: plant size—larger plants respire more and produce a larger quantity of labile C, and plant economics—plants possessing more acquisitive plant economics strategies (i.e., high metabolic rate and tissue nutrient content) produce higher-quality tissue that respires rapidly and decomposes quickly.</p> <p>2. At two sites in central Texas, USA with similar climates and differing soil characteristics, we examined the response of eight <i>Panicum virgatum</i> genotypes to three annual precipitation levels defined by the driest, average, and wettest years from each site's precipitation history. We evaluated the individual and joint influence of plant genotypes and precipitation on J<sub>CO2</sub> and traits related to plant economics and plant size. We then used confirmatory path analysis to evaluate whether effects of precipitation on J<sub>CO2</sub> were in part related to effects of precipitation on plant economics traits or size ('mediated' effects).</p> <p>3. These genotypes exhibited variation in plant economics traits and aboveground net primary productivity (ANPP), an aboveground measure of plant size. Increasing precipitation increased J<sub>CO2</sub> and ANPP more than plant economics traits. At both sites, ANPP was the single best predictor of J<sub>CO2</sub>. Moreover, the sites differed in the ways that plant size and plant economics traits combined with precipitation to influence J<sub>CO2</sub>. At the Austin site, the positive effect of precipitation on J<sub>CO2</sub> was mediated primarily by ANPP, offset by a smaller effect of leaf nitrogen content; no direct precipitation effect was detected. At the Temple site, increasing precipitation had positive direct and ANPP-mediated effects on J<sub>CO2</sub>. This suggests that greater water limitation at Austin may strengthen the links between plant size and J<sub>CO2</sub>.</p> <p>4. Synthesis Estimates of C cycling can be improved by accounting for mediation of precipitation effects on J<sub>CO2</sub> by plant economics traits and plant size in resource-limited environments.</p>

opencc-zeroMar 2020View details →
dryad36/100

Bottom-up when it is not top-down: Predators and plants control biomass of grassland arthropods

1) We investigate where bottom-up and top-down control regulates ecological communities as a mechanism linking ecological gradients to the geography of consumer abundance and biomass. We use standardized surveys of 54 North American grasslands to test alternate hypotheses predicting 100-fold shifts in the biomass of four common grassland arthropod taxa—Auchenorrhyncha, sucking herbivores, Acrididae, chewing herbivores, Tettigoniidae, omnivores, and Araneae, predators. 2) Bottom-up models predict that consumer biomass tracks plant quantity (e.g. productivity and standing biomass) and quality (nutrient content) and that ectotherm access to food increases with temperature. Each of the focal trophic groups responded differently to these drivers: the biomass of sucking herbivores and omnivores increased with plant biomass; that of chewing herbivores tracked plant quality; and predator biomass did not depend on plant quality, plant quantity, or temperature. 3) The exploitation ecosystem hypothesis (EEH) is a top-down hypothesis that predicts a shift from resource limitation of herbivores when plant production is low, to predator limitation when plant production is high. In grasslands where spider biomass was low, herbivore biomass increased with plant biomass, whereas bottom-up structuring was not evident when spiders were abundant. Furthermore, neither predator biomass nor trophic position (via stable isotope analysis) increased with plant biomass, suggesting predators themselves are top-down limited. 4) Stable isotope analysis revealed that trophic position of the chewing herbivore and omnivore increased significantly with plant biomass, suggesting these groups increased scavenging and meat consumption in grasslands with higher carbohydrate availability. 5) Taken together, our snapshot sampling documents gradients of food web structure across 54 grasslands, consistent with multiple hypotheses of bottom-up and top-down regulation. 10-Jan-2020

opencc-zeroJan 2020View details →
dryad36/100

Data from: Spatial heterogeneity of plant-soil feedbacks increases per capita reproductive biomass of species at an establishment disadvantage

Plant–soil feedbacks have been widely implicated as a driver of plant community diversity, and the coexistence prediction generated by a negative plant–soil feedback can be tested using the mutual invasibility criterion: if two populations are able to invade one another, this result is consistent with stable coexistence. We previously showed that two co-occurring Rumex species exhibit negative pairwise plant–soil feedbacks, predicting that plant–soil feedbacks could lead to their coexistence. However, whether plants are able to reproduce when at an establishment disadvantage ("invasibility"), or what drivers in the soil might correlate with this pattern, are unknown. To address these questions, we created experimental plots with heterogeneous and homogeneous soils using field-collected conditioned soils from each of these Rumex species. We then allowed resident plants of each species to establish and added invader seeds of the congener to evaluate invasibility. Rumex congeners were mutually invasible, in that both species were able to establish and reproduce in the other's resident population. Invaders of both species had twice as much reproduction in heterogeneous compared to homogeneous soils; thus the spatial arrangement of plant–soil feedbacks may influence coexistence. Soil mixing had a non-additive effect on the soil bacterial and fungal communities, soil moisture, and phosphorous availability, suggesting that disturbance could dramatically alter soil legacy effects. Because the spatial arrangement of soil patches has coexistence implications, plant–soil feedback studies should move beyond studies of mean effects of single patch types, to consider how the spatial arrangement of patches in the field influences plant communities.

opencc-zeroDec 2016View details →
zenodo36/100

Data and code for "Shrubs inhibit plant diseases through reducing herbaceous biomass in alpine meadows"

<p>Supplementary Data and code for "Shrubs inhibit plant diseases through reducing herbaceous biomass in alpine meadows"</p>

opencc-by-4.0Dec 2023View details →
dryad36/100

Data from: Foliar herbivory creates subtle soil legacy effects that alter future herbivores via changes in plant community biomass allocation

<p>Plants leave legacy effects in the soil they grow in, which can drive important vegetation processes, including productivity, community dynamics and species turnover. Plants at the same time also face continuous pressure posed by insect herbivores. Given the intimate interactions between plants and herbivores in ecosystems, plant identity and herbivory are likely to interactively shape soil legacies. However, the mechanisms that drive such legacy effects on future generations of plants and associated herbivores are little known.<br> In a greenhouse study, we exposed ten common grasses and non-leguminous forbs individually to insect herbivory by two closely related noctuid caterpillars, <i>Mamestra brassicae</i> and <i>Trichoplusia ni</i> (Lepidoptera: Noctuidae) or kept them free of herbivores. We then used the soil legacies created by these plant individuals to grow a plant community composed of all ten plant species in each soil, and exposed these plant communities to <i>M. brassicae</i>. We measured conditioning plant biomass, soil respiration and chemistry of the conditioned soils, as well as individual plant, plant community and herbivore biomass responses.</p> <p>At the end of the conditioning phase, soils with herbivore legacies had higher soil respiration, but only significantly so for <i>M. brassicae</i>. Herbivore legacies had minimal impacts on community productivity. However, path models reveal that herbivore-induced soil legacies affected responding herbivores through changes in plant community shoot: root ratios. Soil legacy effect patterns differed between functional groups. We found strong plant species and functional group-specific effects on soil respiration parameters, which in turn led to plant community shifts in grass: forb biomass ratios. Soil legacies were negative for the growth of plants of the same functional group. </p> <p><strong>Synthesis:</strong><i> </i>We show that insect herbivory, plant species and their functional groups, all incur soil microbial responses that lead to subtle (herbivory) or strong (plants and their functional group) effects in response plant communities and associated polyphagous herbivores. Hence, even though typically ignored, our study emphasizes that legacies of previous insect herbivory in the soil can influence current soil-plant-insect community interactions.</p>

opencc-zeroJan 2022View details →
dryad36/100

Soil property, microbial abundance, and plant and invertebrate biomass data across a natural soil temperature gradient in Iceland from August 2018

<p><span>This is a dataset of soil physiochemical properties, bacterial and fungal abundance, and above and belowground plant and invertebrate biomass, sampled at 40 plots in the Hengill geothermal valley, Iceland, from 15<sup>th</sup> to 22<sup>nd</sup> August 2018. The plots span a temperature gradient of 10</span><span>-35 °C over the sampling period, and this temperature gradient is consistent over time. The dataset also includes data on the decomposition rate of soil organic matter, which was sampled at 60 plots in the Hengill valley from May to July 2015.</span></p>

opencc-zeroMar 2022View details →
dryad36/100

Measuring plant biomass remotely using drones in arid landscapes

<p>Measurement of variation in plant biomass is essential for answering many ecological and evolutionary questions. Quantitative estimates require plant destruction for laboratory analyses, while field studies use allometric approaches based on simple measurement of plant dimensions. We estimated the biomass of individual shrub-sized plants, using a low cost Unmanned Aerial System (drone), enabling rapid data collection and non-destructive sampling. We compared volume measurement (a surrogate for biomass) and sampling time, from the simple dimension measurements and drone, to accurate laboratory-derived biomass weights. We focused on three Australian plant species which are ecologically important to their floodplain and terrestrial ecosystems: porcupine grass <em>Triodia scariosa, </em>Queensland bluebush<em> Chenopodium auricomum</em> and lignum <em>Duma florulenta</em>.</p> <p>Estimated volume from the drone was more accurate than simple dimension measurements for porcupine grass and Queensland bluebush, compared to estimates from laboratory analyses but, not for lignum. The latter had a sparse canopy, with thin branches, few vestigial leaves and a similar colour to the ground. Data collection and analysis consistently required more time for the drone method than the simple dimension measurements, but this would improve with automation. </p>

opencc-zeroApr 2022View details →
dryad36/100

Functional composition of plant communities mediates biomass effects on ecosystem service recovery across an experimental dryland restoration network

<p>Land degradation can result in a loss of critical ecosystem services that we often seek to restore through re-establishment of desired plant communities. Trait-based approaches have the potential to target specific ecosystem services based on associations between the functional composition of plant communities and ecosystem properties that serve as indicators of those services. The effect of functional composition on ecosystem recovery may depend on the amount of restored plant biomass, itself a supporting service frequently targeted in restoration efforts. Yet, interactions between functional composition and biomass are not formally integrated into trait-based analytical frameworks. We tested the hypothesis that functional composition of plant communities both drives, and interacts with, biomass production to influence indicators of soil functioning and weed suppression across a network of degraded dryland restoration experiments. This networked approach allowed us to identify generalized effects of functional composition on ecosystem recovery across a range of dryland climate conditions. Climate had a substantial effect on ecosystem indicators, with weed cover and soil surface stability increasing in more arid climates, water infiltration increasing with precipitation, and aggregate structure increasing with less freezing. After accounting for climate effects across study sites, we found significant effects of community-weighted mean (CWM) trait values on biomass, particularly a positive effect of leaf carbon-to-nitrogen ratio, and of CWM-biomass interactions on other ecosystem indicators. Cover of exotic species was reduced in restored communities with a combination of low leaf dry matter content and high biomass, soil water infiltration increased with lower specific root length and high biomass, and soil aggregate stability increased with higher root dry matter content and high biomass, among other effects. Functional diversity had no significant effects on any ecosystem indicators. Synthesis: The influence of community functional composition on ecosystem properties increases with community biomass, particularly in disturbed or low productivity systems. This suggests that active management should not only focus on trait values that optimize individual ecosystem indicators, but also how those functional strategies are complementary or counter to those that increase biomass.</p>

opencc-zeroJun 2022View details →
dryad36/100

Close to the edge: Spatial variation in plant diversity, biomass and floral resources in conventional and agri-environment cereal fields

<p>Non-crop (segetal) plants in arable systems are commonly perceived simply as "weeds", i.e. harmful at worst and undesirable at best. The increase in management intensity in European arable systems has vastly reduced the populations of all but the most disturbance-tolerant plant species, negatively impacting the whole agricultural food web. In recent years, efforts have been made to promote agricultural biodiversity through measures such as flower strips and unsprayed field margins. However, studies of their impacts on the arable flora have rarely considered their spatial variation within the crop field. We investigated the spatial distribution of vascular plant species richness and their contribution to the food web via biomass and flower units in conventional and agri-environment cereal fields in six regions of Germany. We studied two types of in-crop measures (extensive cereals without pesticides or fertiliser, and with or without intercropping with flowering species) and one adjacent measure (neighbouring flower strip), recording at 1 m intervals from the field edge to interior. These results were then extrapolated to illustrate the effects of these measures on resource provision at the field scale. Species richness and plant biomass dropped off sharply after the first metre in the conventional treatments, regardless of the adjacent habitat. The "extensive" treatments maintained a much higher level of diversity and resource provision into the field interior. At the field level, this can mean more than sixty-fold difference in provision of flowering resources between conventional management (1900 flower units/ha) and agri-environment measures (127,000 units/ha for extensive cereals).</p> <p><em>Synthesis and applications:</em></p> <p>The strong edge effects we found in conventional cultivation support the premise that reducing field sizes could play a role in promoting in-crop biodiversity. However, incorporating extensive field margins as an agri-environment measure would be more efficient at maximising diversity of generalists whilst maintaining high yields.</p>

opencc-zeroJul 2024View details →
dryad36/100

Location and plant spacing affect biomass yield and nutritional value of pigeon pea forage

<p>An experiment was conducted to evaluate the effects of row spacing (RS) and interplant spacing (IPS) on the yield of total biomass, leaf, and edible twigs, and nutritive value of pigeon pea,(<i>Cajanus cajan </i>L. Millsp.<i>)</i> at three locations in the Rift Valley area of Ethiopia, using a randomized completed block design with three replications in 3 × 3 factorial arrangement; three RS ( 25, 50, and 75 cm) and three IPS (15, 30, and 45 cm). Row spacing × IPS of 25 × 30 cm and 50 × 15 cm, gave greater total biomass yield than the other RS and IPS combinations.  A similar result was found for edible plant yield. At Hawassa the greater leaf CP was found for the wider IPS of 45 cm than the narrower IPS of 30 cm (318 Vs. 303 g kg<sup>-1 </sup>). At Wondo-Genet, the greater leaf in vitro digestible organic matter  (597 Vs. 582 g kg<sup>-1 </sup>) was found for the wider RS of 75 cm than narrower RS. Similar to leaf, a better nutritional value of edible twigs was found for a wider RS and IPS than narrower RS and IPS at Hawassa and Wondo-Genet. In contrast at Aliyu-Amab, a better nutritional value of edible twigs was found for narrower RS and IPS than the wider spacing. Thus, it can be concluded that RS × IPS of 25 × 30 cm or 50 × 15 cm are advisable for pigeon pea forage production.</p>

opencc-zeroJul 2021View details →
dryad36/100

Stand biomass decreases towards the edge of a range expanding invasive plant, Mikania micrantha, but only on thick soil layers

<p>During range expansion, invasive plants may evolve distinctive traits that make them rapidly occupy the suitable sites at the invasion front, but it is unknown how stand biomass (i.e., biomass production of dense monocultural stands, which may predict invasion speed and impacts) changes during range expansion, and if stand biomass is related to competitive ability. In this study, we examined how competitive ability against common intraspecific competitors and stand biomass when six plants from the same population were grown together change during range expansion, using 27 populations of the invasive <em>Mikania</em> <em>micrantha</em> on Hainan island of China. Competitive ability did not decrease towards the range edge. Stand biomass decreased towards the range edge in 11 L pots with a thick soil layer, but not in 3 L pots with a thin soil layer. Stand biomass was negatively correlated with root-to-shoot ratio in 3 L pots but not in 11 L pots. Stand biomass was unrelated to competitive ability. Our results indicate that edge populations of invasive <em>M. micrantha</em> may have reduced stand-level performance in habitats with thick soil layers. In habitats with shallow soil layers, populations may evolve greater allocation to roots and reduced stand-level performance.</p>

opencc-zeroApr 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record