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209 results for “multifunctionality”
Design of Multifunctional Composites: New Strategy to Save Energy and Improve Mechanical Performance
<p>dataset on </p> <p>Dynamic Mechanical Analysis, Electro-Mechanical Measurement, Dynamic Light Scattering</p> <p>FTIR spectroscopy, Thermogravimetric analysis, Differential Scanning Calorimetry,</p> <p>Electro-Temperature Measurement, Thermal Image Camera, Water sorption measurement,</p> <p>Transmission Electron Microscopy and Stress Strain</p>
Multifunctional Catalyst Combination for the Direct Conversion of CO2 to Propane
<p>Supplementary Material: CO2 hydrogenation thermodynamics, kinetic model for CO2 hydrogenation, catalyst regeneration data, chemical and textural characterisaton (EDS, N2 absorption, PXRD), spectroscopic characterisation (EXAFS, FTIR, Raman), imaging (HAADF-STEM)</p>
Multifunctional blazed gratings for multiband spatial filtering, retroreflection, splitting, and demultiplexing based on C2 symmetric photonic crystals
<p>These datafiles were generated by MATLAB to create a part of the figures in the paper.</p> <p>The work supported partially by the Narodowe Centrum Nauki (projects nos UMO-2015/17/B/ST3/00118 and UMO-2020/39/I/ST3/02413), TUBITAK (Program No. 2221), and projects UBACyT 20020150100028BA, UBACyT 20020190100108BA and CONICET PIP 11220170100633CO.</p> <p> </p>
Wide-angle and simultaneously wideband blazing (deflection) enabling multifunctionality in metagratings comprising epsilon-near-zero materials
<p>Dataset for the selected figures from the publication.</p> <p>The research supported by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.</p>
Multifunctional Polymer Composites for Automatable Induction Heating with Subsequent Temperature Verification
<p>This data upload contains the metadata and datasets underlying the manuscript: "Multifunctional Polymer Composites for Automatable Induction Heating with Subsequent Temperature Verification".</p> <p>A description of the uploaded data is found in the README.txt.</p>
dictionaria/teop: A multifunctional Teop-English dictionary
Mosel, Ulrike. 2019. A multifunctional Teop-English dictionary. Dictionaria 4. 1-6488. (Available online at https://dictionaria.clld.org/contributions/teop, Accessed on 2021-02-08.)
Ecosystem service-multifunctionality in the European transboundary cooperation area EUREGIO
<p>Ecosystem Service-multifunctionality (ES-multifunctionality) is defined as the capacity of ecosystems to supply multiple services within the same spatial unit. The present datasets contain the results of an ES-multifunctionality assessment across a case study region in the eastern European Alps, including the two Italian Autonomous provinces of Trentino and South Tyrol and the Austrian federal state of Tyrol (EUREGIO). ES-multifunctionality was calculated using two diversity indices originating from biodiversity studies: α- and β-diversity. α-multifunctionality is defined as the diversity of ES supplied in terms of ES richness and abundance and accounts for service evenness, favoring a balanced supply of ES. β-multifunctionality is defined as the unique ES contribution of spatial units (e.g., ecosystems, landscape) to ES-multifunctionality at bigger spatial scales (e.g., region). A landscape is considered unique when it supplies specific ES at a higher level compared to other sites in the region.</p> <p>By using 11 ES indicators (carbon sequestration, filtration of surface water, forest protection, lifecycle maintenance, gene pool protection, land use integrity and quality, fuelwood production, grassland production, outdoor recreation, symbolic species, foraging practices), we measured the diversity of ES supplied (i.e., α-multifunctionality) at the patch (100 m pixel resolution) and landscape scale (using the municipality boundaries as landscape units, Local Administrative Level 2). β-multifunctionality was calculated at the landscape scale as the average ES abundance-based dissimilarities between landscape units.</p> <p>The datasets include:</p> <ol> <li>a .tiff raster file containing the records of α-multifunctionality at the patch scale at the pixel resolution of 100 m across the study area.</li> <li>a .csv spreadsheet containing the records of α- and β-multifunctionality at the Local Administrative Level 2 across the study area.</li> </ol> <p> </p>
All-inorganic micrometric CsPbBr3:Yb3+ powder as a multifunctional material for photovoltaics and optical thermometry: structural and optical characterization
<p>Halide perovskites have been studied very intensively by researchers during the last decade. Development of these materials has improved their unique optoelectrical properties reaching even higher standards making them promising candidates for photovoltaic applications. It should be noted that most inorganic halide perovskites obtained to date are synthesized using organic solvents in the form of nanosized colloids. Here, a low-temperature synthesis protocol for the preparation of microcrystalline CsPbBr<sub>3</sub> perovskite powder doped with Yb<sup>3+</sup> ions is proposed. The structural and photoluminescence features of the studied material have been thoroughly investigated and described. It turned out that the excitation of the CsPbBr<sub>3</sub>:Yb<sup>3+</sup> perovskite with a 375 nm wavelength leads to spontaneous luminescence of excitons and Yb<sup>3+ </sup>ions. Hence, the use of CsPbBr<sub>3</sub>:Yb<sup>3+</sup> as a luminescent thermometer or an additional absorbing layer on a solar cell surface is possible. The latter application may result in an increase in the conversion efficiency of the cell. In order to verify this, such a layer was prepared and installed on a commercial silicon solar cell. Its photovoltaic properties have been investigated by the measurements of current-voltage characteristics with 1-sun illumination and spectral characteristics of external quantum efficiency.</p>
Species richness: a pivotal factor mediating the effects of land use intensification and climate on grassland multifunctionality
<p>Temperate semi-natural grasslands harbour unique biodiversity, support livestock farming through forage production, and deliver many essential ecosystem services (ESs) to human society; they are highly multifunctional. However, temperate grassland ecosystems are also among the most threatened ecosystems on earth due to land use and climate change. Understanding how biodiversity, climate, and land use intensification impact grassland multifunctionality through complex direct and indirect pathways is critical to better anticipate the future of these fragile ecosystems. </p> <p>Here, we evaluate how local plant species richness (SR) modulates the effect of land use intensification and climate on grassland multifunctionality (using six key ESs: biomass productivity and stability, forage quality, carbon storage, pollination, and local plant rarity) in the French Massif Central, the largest grassland in Western-Europe. We sampled 100 grassland fields with contrasted fertilisation rates, and SR over large elevational and latitudinal gradients related to variation in mean annual temperature (MAT), and drought severity (DS), two key climate change drivers that are predicted to increase in the future.</p> <p>Using a confirmatory path analysis, we found that SR was the main driver of multifunctionality. We also found significant SR × MAT and SR × fertilization interactions suggesting that warm climate and high fertilization rates may alter the biodiversity-ecosystem multifunctionality relationships. Furthermore, increasing temperature and fertilization indirectly influenced multifunctionality by decreasing SR and consequent multifunctionality in warm low-land and highly fertilized grasslands compared to colder montane grasslands or less fertilised ones. DS only impacted some ES individually (e.g. forage quality).</p> <p>Synthesis and applications: we identified SR as a pivotal factor mediating the effects of land use intensification and climate on multifunctionality through both direct and indirect pathways. Failing to account for changes in SR could thus bias any prediction of – or aggravate – the effects of land use intensification and climate change on ESs delivery in temperate grassland ecosystems. Considering that SR, MAT, and fertilization are major proxies of three main global change drivers (biodiversity loss, climate change, and land use intensification) our study may help to better anticipate the effect of multiple interacting global change drivers on grassland ecosystems.</p>
Data for: Key bacterial groups maintain stream multifunctionality in response to episodic drying
<p>Microbial biodiversity is fundamental to maintain ecosystem functioning in seasonally variable ecosystems. However, it remains unclear how alterations in water availability caused by seasonal drying compromise the ability of stream microbes to maintain multiple functions simultaneously (i.e., multifunctionality). Using data from 32 streams, we investigated how the phenology of seasonal drying influences stream microbial biodiversity and their capacity to sustain multifunctionality. Our results showed that stream multifunctionality and most bacteria did not respond to changes in drying phenology. Only two bacterial groups, the drying-resistant <em>Sphingobacteriia</em> and the drying-sensitive Acidobacteria_Gp7, exhibited positive associations with multifunctionality, whereas bacterial diversity showed a negative correlation with functions. Among these biodiversity aspects, <em>Sphingobacteriia</em> showed the strongest capacity to maintain multifunctionality at low and moderate performance levels. Our findings will help to better understand the mechanisms through which biodiversity sustains the functioning of seasonally variable streams and their responses to global change.</p>
GCEF 2014-2023 Ecosystem Multifunctionality Data
<div>This dataset comprises data from the Global Change Experimental Facility (GCEF) (https://doi.org/10.1002/ecs2.2635).</div> <div>The data was obtained between 2014 and 2023.</div> <div>Martin Schädler (martin.schaedler@ufz.de) is the scientific coordinator of the GCEF.</div> <div>Martin Schädler and Harald Auge (harald.auge@ufz.de) designed the GCEF.</div> <div>Martin Schädler, Thomas Reitz, Rui Yin, Harald Auge, Ines Merbach, Christiane Roscher, Stan Harpole, Evgenia Blagodatskaya, Julia Siebert, Marcel Ciobanu, and Nico Eisenhauer collected the data.</div> <div>Friedrich Scherzinger (friedrich.scherzinger@idiv.de) compiled the dataset.</div> <div>Some columns in the dataset are empty as they are placeholders for numerical data that will be filled during the data analysis process. They are left empty in the initial dataset to accommodate the subsequent analysis and to maintain the structure of the dataset.</div> <div>For more information on how the data was obtained and on the context of its collection, please refer to Scherzinger et al. (2023). <em>Sustainable land management enhances ecological and economic multifunctionality under ambient and future climate</em> (pre-print).</div> <div> </div> <div><strong>Abbreviations used in the dataset:</strong></div> <div>LUT - land use type</div> <div>EM - extensive meadow</div> <div>EP - extensive pasture</div> <div>IM - intensive meadow</div> <div>CF - conventional farming</div> <div>OF - organic farming</div> <div>Climate - climate treatment</div> <div>amb - ambient</div> <div>fut - future</div> <div>Yield - yield (€ / ha / yr)</div> <div>TOC - total organic soil carbon (%) - data owners: Thomas Reitz, Evgenia Blagodatskaya</div> <div>Nmin_Surplus - nitrogen surplus (g / m²)</div> <div>Mic_Bio - microbial biomass (mg / kg soil) - data owner: Thomas Reitz</div> <div>CEL - cellulase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>NAG - N-acetylglucosaminidase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>PHO - acid phosphatase activity (nmol / h / g soil) - data owner: Thomas Reitz</div> <div>Decomp_Below - belowground decomposition rate (bait lamina) - data owner: Julia Siebert</div> <div>Decomp_Above_Fine - aboveground decomposition rate (microbes) (K value) - data owner: Rui Yin</div> <div>Decomp_Above_Coarse - aboveground decomposition rate (microbes + fauna) (K value) - data owner: Rui Yin</div> <div>Biodiv_Meso - soil mesofauna diversity (Shannon-Index) - data owner: Rui Yin</div> <div>Biodiv_Macro - soil macrofauna diversity (Shannon-Index) - data owner: Rui Yin</div> <div>Biodiv_Nematode - soil nematode diversity (Shannon-Index) - data owner: Julia Siebert</div> <div>Percentage_FlowCov - flower cover (%) - data owner: Martin Schädler </div> <div>DM_grains_machine - machine harvest yield total dry mass grains OF & CF (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_straw_machine - machine harvest yield total dry mass grains OF & CF (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_total_machine - machine harvest yield EM, EP & IM (dt / ha) - data owners: Martin Schädler, Ines Merbach</div> <div>DM_total_manual - manual harvest yield EM, EP & IM (dt / ha) - data owners: Martin Schädler, Ines Merbach, Harald Auge</div> <div>Nmin_Fertiliser_g_p_m2 - amount of mineral nitrogen fertiliser applied (g / m²)</div> <div>Nmin_Conc_mg_p_kg - soil mineral nitrogen content (mg Nmin / kg soil) - data owner: Thomas Reitz</div> <div>Nmin_Conc_g_p_m2 - mineral nitrogen content (g Nmin / m²)</div> <div>Nmin_Deprivation_Harvest_g_m2 - mineral nitrogen deprivation through harvest (g Nmin / m²) - data owners: Christiane Roscher, Stan Harpole</div>
Data: Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality
<p><strong>The repository contains the data supporting the findings of the study: <em>Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality</em></strong></p> <p><strong>Abstract:</strong></p> <p>Close-to-nature forestry (CNF) has a long tradition in European Alpine forest management, playing a crucial role in ensuring the continuous provision of biodiversity and forest ecosystem services, including protection against natural hazards. However, climate change is causing huge uncertainties about the future applicability of CNF in the Alpine region. The question arises as to whether current CNF practices are still suitable for adapting forests to climate change impacts while also meeting the increasing societal demands regarding Alpine forests, including their potential contribution to climate change mitigation.</p> <p>To answer this question, we simulated forest development using the ForClim forest model at two Alpine study sites, together representing a large biogeographic gradient from high-elevation inner Alpine forests (Switzerland) to lower-elevation south-eastern Alpine forests (Slovenia). The simulations considered three climate scenarios (historical climate, SSP2‑4.5 and SSP5-8.5) and six alternative management strategies, including both current CNF management practices and climate-adapted versions. Using a multi-criteria decision analysis framework, we assessed the joint impacts of climate and management on biodiversity and key ecosystem services of the investigated regions, including carbon sequestration (CS) inside and outside the forest ecosystem boundary. </p> <p>The joint effects of climate change and CNF varied, both among and within the study sites along the biogeographical gradient. While CS was more resistant to climate change under current CNF at the south-eastern Alpine site, it was more sensitive at the inner Alpine site, where CS potentials decreased at lower elevations. This adverse effect could be partly mitigated by fostering the use of climate-adapted tree species. However, current CNF and adaptations of it did not meet multiple management objectives equally well: while protection from gravitation hazards and timber production also benefited from this silvicultural practice, biodiversity benefited from CNF variants with low-intensity or no management. </p> <p>In conclusion, CNF has a high potential to continue fulfilling its crucial role in European Alpine forests. A differentiated approach will be needed in the future, however, to identify forest stands where adaptive measures are required, especially at sites particularly vulnerable to climate change. In combination with less intensively managed or unmanaged areas, CNF provides a management portfolio that will help European Alpine forests to meet the demands of future society.</p> <p><strong>Data:</strong></p> <p>There is one folder for each case study, including: </p> <ul> <li>simulated biodiverstiy and ecosystem service indicators</li> <li>forest stand metadata</li> <li>normlized utility values for indicators</li> <li>partial utility values for biodiversity and ecosystem service groups</li> </ul> <p>This study was conducted as part of the <strong>ONEforest project</strong>, which received funding from the <strong>European Union's Horizon 2020</strong> research and innovation programme under the <strong>grant agreement Nº 101000406</strong>.</p>
Trophic complexity alters the diversity–multifunctionality relationship in experimental grassland mesocosms
<p>Plant diversity has a positive influence on the number of ecosystem functions maintained simultaneously by a community, or multifunctionality. While the presence of multiple trophic levels, or trophic complexity, affects individual functions, the effect of trophic complexity on the diversity-multifunctionality relationship is less well known. To address this issue, we tested whether the independent or simultaneous manipulation of both plant diversity and trophic complexity impacted multifunctionality using a mecocosm experiment from Cedar Creek, Minnesota, USA. Our analyses revealed that neither plant diversity nor trophic complexity had significant effects on single functions, but trophic complexity altered the diversity-multifunctionality relationship in two key ways: it lowered the maximum strength of the diversity-multifunctionality effect and it resulted shifted the relationship between increasing diversity and multifunctionality from positive to negative at lower function thresholds. Our findings suggest that declines in trophic complexity will further reduce the capacity of ecosystems to maintain multifunctionality than expected from plant biodiversity loss.</p>
Maps of ecosystem multifunctionality and ecological connectivity for identifying Green Infrastructure networks in the European Alps
<p>High resolution raster datasets (20 meters) containing the results of an ecological connectivity and an ecosystem multifunctionality assessment for identifying Green Infrastructure networks in 10 pilot regions of the European Alps, modelled as part of the LUIGI Interreg Alpine Space project. Pilot regions include: department of Isère (FR), departments of Savoie and Haute-Savoie (FR), Munich Metropolitan Region (DE), Central Area of Salzburg (AT), South Burgenland (AT), Goriška region (SI), South Tyrol (IT), canton of Grisons (CH), Metropolitan City of Milan (IT), and Metropolitan City of Turin (IT). For a preview of the data and the results available for each pilot region <a href="https://www.alpine-space.org/projects/luigi/en/project-results/d.t1.2.1-pilot-regions-policy-briefs">click here</a></p> <p>Further information on the LUIGI project is available at: <a href="https://www.alpine-space.org/projects/luigi/en/home">https://www.alpine-space.org/projects/luigi/en/home</a></p> <p><a href="https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf">https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf </a></p> <p>The datasets include:</p> <ul> <li>a map for ecosystem service-based multifunctionality calculated out of the average of 11 standardized ecosystem service indicators: water provision, crop potential, timber production, fodder provision, pollination potential, carbon sequestration, nitrogen retention, natural hazard mitigation, runoff retention, outdoor recreation, and landscape aesthetics.</li> <li>a map of the modelled Ecological Network composed of core areas and ecological corridors. Corridors are modelled for medium-large forest mammal species and represent least-cost pathways connecting core areas. Different classes indicate areas with different levels of current ecological connectivity starting from core areas to areas in cities or anthropized land with no connectivity. Modeled corridors are presented in two classes to mirror different levels of prioritization and management actions.</li> <li>a map of the resistance of the landscape to the movement of forest mammal species. The landscape resistance raster has been developed by reclassifying and aggregating a high resolution (5m) land use and land cover map. Resistance values have been determined in relation to the naturalness of different land use and land cover classes. In this context, land use or landscape resistance is intended as the opposite of habitat suitability.</li> </ul>
Dual spring force couples yield multifunctionality and ultrafast, precision rotation in tiny biomechanical systems
<p>Small organisms use propulsive springs rather than muscles to repeatedly actuate high acceleration movements, even when constrained to tiny displacements and limited by inertial forces. Through integration of a large kinematic dataset, measurements of elastic recoil, energetic math modeling, and dynamic math modeling, we tested how trap-jaw ants (Odontomachus brunneus) utilize multiple elastic structures to develop ultrafast and precise mandible rotations at small scales. We found that O. brunneus develops torque on each mandible using an intriguing configuration of two springs: their elastic head capsule recoils to push and the recoiling muscle-apodeme unit tugs on each mandible. Mandibles achieved precise, planar, circular trajectories up to 49,100 radians/sec (470,000 rpm) when powered by spring propulsion. Once spring propulsion ended, the mandibles moved with unconstrained and oscillatory rotation. We term this mechanism "dual spring force couple" meaning that two springs deliver energy at two locations to develop torque. Dynamic modeling revealed that dual spring force couples reduce the need for joint constraints and thereby reduce dissipative joint losses, which is essential to the repeated use of ultrafast, small systems. Dual spring force couples enable multifunctionality: trap-jaw ants use the same mechanical system to produce ultrafast, planar strikes driven by propulsive springs and for generating slow, multi-degree of freedom mandible manipulations using muscles, rather than springs, to directly actuate the movement. Dual spring force couples are found in other systems and are likely widespread in biology. These principles can be incorporated into microrobotics to improve multifunctionality, precision, and longevity of ultrafast systems.</p>
Different facets of bacterial and fungal communities drive soil multifunctionality in grasslands spanning a 3,500 km transect
<p>1. Soil microbial communities are essential in regulating ecosystem functions and services. However, the importance of bacterial and fungal communities as predictors of multiple soil functions (i.e., soil multifunctionality) in grassland ecosystems has not been studied systematically.</p> <p>2. Here, we measured soil microbial diversity, community composition, biomass, and multiple soil functions of 41 sites in five grassland ecosystems spanning a 3,500 km northeast–southwest transect. The random forest algorithm was adopted to determine the importance of geographical location, climatic, altitude, edaphic, plant, and microbial predictors in driving a proxy of soil multifunctionality (seven soil functions in this study). Moreover, structural equation models (SEMs) were employed to examine the direct and indirect effects of those predictors on soil multifunctionality.</p> <p>3. Our results demonstrated that soil multifunctionality was positively driven by soil fungal diversity but not by bacterial diversity. Fungal phylogenetic diversity (presence of different evolutionary lineages) showed stronger positive relationships with soil multifunctionality than taxonomic diversity (richness of species). Dominant bacterial taxa, particularly of phyla Actinobacteria and Proteobacteria, were positively associated with soil multifunctionality, while none of the fungal taxa were found to regulate soil multifunctionality. Furthermore, both fungal and bacterial biomass had significant effects on soil multifunctionality, while the effect of microbial biomass was weaker than that of fungal diversity and bacterial taxa. Importantly, the direct positive effects of soil fungal diversity, dominant bacterial taxa, and fungal and bacterial biomass were maintained after accounting for multiple predictors in grassland ecosystems.</p> <p>4. This study provided strong empirical evidence that soil multifunctionality was driven by different facets of the bacterial and fungal communities in the grassland ecosystems. Our results also highlighted that any loss of fungal diversity, dominant bacterial taxa and microbial biomass might reduce soil multifunctionality, exacerbating ecosystem functions and services such as soil fertility, primary production, and climate mitigation in grassland ecosystems. </p>
The official dataset of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient"
<p>This is the official repository of the paper "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).</p> <p>DISCLAIMER</p> <p>The repository contains experimental data and is published for the sole purpose of giving additional background details on the respective publication, "Valorisation of Blackcurrant Pomace by Extraction of Pectin-Rich Fractions: Structural Characterization and Evaluation as Multifunctional Cosmetic Ingredient" (<a href="https://doi.org/10.3390/polym16192779">https://doi.org/10.3390/polym16192779</a>).<strong> </strong>See the README.txt file for more details.</p>
Changes in salt marsh detritivore identity influences on ecosystem multifunctionality
<p>Ecosystems world-wide experience changes in species composition in response to natural and anthropogenic changes in environmental conditions. Research to date has greatly improved our understanding of how species affect focal ecosystem functions. However, because measurements of multiple ecosystem functions have not been consistently justified for any given trophic group, it is unclear whether interpretations of research syntheses adequately reflect the contributions of consumers to ecosystems. Using model communities assembled in experimental microcosms, we examined the relationship between four numerically dominant detritivore species and six ecosystem functions that underpin fundamental aspects of carbon and nitrogen cycling above- and below-ground. We tested whether ecosystem responses to changes in detritivore identity depended upon species trait dissimilarity, food web compartment (aboveground, belowground, mixed), or number of responses considered (one to six). We found little influence of detritivore species identity on brown (i.e. soil-based) processes. Only one of four detritivore species uniquely influenced decomposition, and detritivore species did not vary in their influence on soil nitrogen pools (NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup>), or root biomass. However, changes in detritivore identity influenced multiple aboveground ecosystem functions. That is, by serving as prey, ecosystem engineers, and occasionally also as herbivores as well as detritivores, these species altered the strength of aboveground predator-herbivore interactions and plant-shoot biomass. Yet, dissimilarity of detritivore functional traits was not associated with dissimilarity of ecosystem functioning. These results serve as an important reminder that consumers influence ecosystem processes via multiple energy channels and that food web interactions set important context for consumer-mediated effects on multiple ecosystem functions. Given that species are being lost, gained, and redistributed at unprecedented rates, we can anticipate that changes in species identity will have additional ecosystem consequences beyond those predicted by species' primary functional role.</p>
NGS Data Accompanying "Deep Learning Enables Design of Multifunctional Synthetic Human Gut Microbiome Dynamics"
<p>NGS Data Accompanying "Deep Learning Enables Design of Multifunctional Synthetic Human Gut Microbiome Dynamics", currently in review.</p>
Modulating the Surface Properties of Lithium Niobate Nanoparticles by Multifunctional Coatings Using Water-in-Oil Microemulsions
<p>Raw data associated to the study entitled <em>Modulating the Surface Properties of Lithium Niobate Nanoparticles by Multifunctional Coatings Using Water-in-Oil Microemulsions.</em></p> <p>Metadata file</p> <p>DLS measurements</p> <p>FTIR characterization</p> <p>Labbook</p> <p>NMR characterization</p> <p>TEM and EDX analysis</p> <p>XRD measurements</p>
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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.