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163 results for “biodegradability”
Composition and biodegradability of dissolved organic matter in supra-permafrost groundwater and surface waters near Simpson Lagoon, Alaska
Supra-permafrost groundwater (SPGW) is an important source of terrestrial dissolved organic matter (DOM) to the Arctic Ocean, yet few studies have investigated the quality or characteristics of this DOM. We sampled fresh SPGW, run-off, and rivers near Simpson Lagoon, Alaska during spring ice break-up (mid-June), summer open water (late July), and fall freeze-up (late September - early October). We measured dissolved organic carbon (DOC) concentrations in these samples and analyzed the composition of DOM using high-resolution mass spectrometry (Fourier transform ion cyclotron resonance mass spectrometry; FT-ICR MS). To measure biodegradable dissolved organic carbon (BDOC), we conducted an aerobic incubation experiment following the methods suggested by Vonk et al. (2015). Briefly, water samples were incubated at 20C for 28 days to measure DOC loss due to remineralization by in-situ microbial communities.
Ramped Pyrolysis Oxidation (RPO) coupled radiocarbon (14C-DOC) and stable carbon (13C-DOC), high-resolution molecular composition (FT-ICR MS), and biodegradable dissolved organic carbon (BDOC) of groundwater, river water, and lagoon water in northeast Alaska, 2017
Supra-permafrost groundwater (SPGW), river water, and lagoon water were sampled near Kaktovik, AK to assess the reactivity and origin of dissolved organic matter (DOM) across interconnected hydrologic systems during late summer. Water samples were collected on August 17th 2017 from SPGW along the beach of Jago Lagoon (Jago GW), surface water from the Jago River’s main channel above tidal influence (Jago R), and from the water column of Kaktovik Lagoon at 2–3 m depth (KA LW). Measurements were made from grab samples for river and lagoon water, and from a composite sample for SPGW gathered from 10 individual shoreline locations. Data include dissolved organic carbon concentration (DOC, mg C L-1), Ramped Pyrolysis Oxidation (RPO) derived fraction compositions of 13C-DOC (δ13C ‰), 14C-DOC (in fraction modern), and method/instrumental error in the 14C and 13C results, and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) molecular composition and summarized compound classes. Biodegradable DOC (BDOC) bottle experiments were performed using all three sample types, where DOC concentration was subsequently measured at 2, 7, 14, and 28 days. FT-ICR MS composition was subsequently measured at the 28-day timepoint to track changes in molecular formulae and compound class relative abundance following biodegradation. Data from RPO serial thermal oxidation include temperature and normalized CO2 profiles for each background sample. Thermal-oxidation profiles of CO2 were transformed into non-parametric activation energy (E) distributions using an inverse model. Model output includes C mass of oxidized CO2 (µg C), Tmax (K), Emax (kJ mol-1), Emean (kJ mol-1), Estd (kJ mol-1), and p(0,E)max of user-defined sample fractions. FT-ICR MS results include a summary table of the relative abundance of compound classes (e.g., unsaturated phenolic, polyphenolic, aliphatic, condensed aromatics, peptide-like) and elemental groupings (e.g., CHO-type, CHON-type, CHOS-type, CHON
Composition and biodegradability of dissolved organic matter leached from eroding coastal soils and permafrost in seawater, from Drew Point, Alaska
Eroding permafrost coastlines export significant quantities of organic carbon (OC) to the marine environment, similar in magnitude to riverine particulate OC fluxes to the Arctic Ocean. Moreover, erosion rates are predicted to increase due to warming temperatures, declines in sea ice, and increasing waves. While erosion primarily mobilizes organic matter in the particulate form, this material can be leached to dissolved organic matter (DOM). This DOM may be incorporated by microbial communities and fuel marine food webs or decomposed to form greenhouse gases like carbon dioxide and methane. Many studies show that permafrost-derived organic matter can be rapidly decomposed in soils and freshwater, but few studies examine the fate of permafrost organic matter in seawater. To address this knowledge gap, we designed a laboratory experiment to leach coastal soils and permafrost in seawater and examine the composition and biodegradability of leached DOM. Coastal soil/sediment was cored near Drew Point, Alaska in 2019, representing three horizons found within rapidly eroding permafrost bluffs: seasonally thawed active layer soils, Holocene terrestrial soils and/or lacustrine sediments, and late-Pleistocene relict marine sediments. To measure dissolved organic carbon (DOC) leaching yields, we placed soil/sediments in Beaufort Sea seawater for 24 hours before filtering to remove particulates. To measure biodegradable dissolved organic carbon (BDOC), we conducted an aerobic incubation experiment following the methods suggested by Vonk et al. (2015). Briefly, leachates were incubated at approximately room temperature for 26 and 90 days to measure DOC loss due to remineralization and/or incorporation into microbial biomass. Additionally, we used chromophoric dissolved organic matter (CDOM) measurements and ultra-high resolution mass spectrometry (FT-ICR MS) to examine the initial leachate DOM composition. References: Vonk, J. E., Tank, S. E., Mann, P. J., Spencer, R. G. M., Tre
Dataset for a publication: "A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation"
<p>These data are published as part of the paper: A zinc phosphate layered biodegradable Zn-0.8Mg-0.2Sr alloy: Characterization and mechanism of hopeite formation. The structure and organization of the data are outlined in the readme file. </p> <p> </p>
Modelling of ready biodegradability based on combined public and industrial data sources
<p>The European REACH (Registration, Evaluation, Authorization and restriction of Chemicals) Regulation, requires marketed chemicals to be evaluated for Ready Biodegradability (RB). In-silico prediction is a valid alternative to expensive and time-consuming experimental testing. However, currently available models may not be relevant to predict compounds of industrial interest, due to accuracy and applicability domain restriction issues.</p> <p>In this work we present a new and extended RB dataset (2830 compounds), issued by the merging of several public data sources. It was used to train classification models, which were externally validated and benchmarked against already-existing tools on a set of 316 compounds coming from the industrial context. New models showed good performances in terms of predictive power (BA = 0.74 – 0.79) and data coverage (83 – 91 %).</p> <p>The Generative Topographic Mapping approach was employed to compare the chemical space of the various data sources: several chemotypes and structural motifs unique to the industrial dataset were identified, highlighting for which chemical classes currently available models may have less reliable predictions.</p> <p>Finally, public and industrial data were merged into Global dataset containing 3146 compounds and including a significant subset of compounds coming from the industrial context. This is the biggest dataset reported in the literature so far which covers some chemotypes absent in the public data. Thus, predictive model developed on the Global dataset has much larger applicability domain than related models built on publicly available data. The developed model is available for the user on the Laboratory of Chemoinformatics website.</p> <p>This dataset is only the "All-Public" set, since the industrial compounds cannot be disclosed.</p> <p>This update contains additional entries from [J. Chem. Inf. Model. 52 (2012), pp. 655–669] and [J. Chem. Inf. Model. 53 (2013), pp. 867–878]</p>
Data from: Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale
<p><span>Abstract</span></p> <p><span>The uploaded data are relative to the investigation around (i) the carbon source/sink nature and, further, (ii) the water and carbon balances, of a drip-irrigated and mulched watermelon. The crop was cultivated under the semi-arid climate of the Apulia region, in south Italy.</span></p> <p><span>The used mulching films were biodegradable as indicate by the producer; plants and some non-standard fruits were left on the soil as green manure after harvesting, thus, the experiment spanned from planting to the subsequent crop (6 months of continuous measurement from June to November 2023). </span></p> <p><span>The results detailed in the original publication indicate that mulching films contribute to carbon sequestration in the soil (+19.3 gC m<sup>−2</sup>). However, this mulched watermelon represents a net carbon source, with a net biome exchange, as loss from ecosystems, equal to +230 gC m<sup>−2</sup>. This is primarily due to the substantial amount of carbon exported through marketable fruits. Fixed water scheduling led to water waste through deep percolation (approximately 1/6 of the water supplied), which also contributed to the loss of organic carbon via leaching (−4.3 gC m<sup>−2</sup>). </span></p> <p><span> </span></p> <p><span>Methods</span></p> <p><span>Site and crop</span></p> <p><span>The field site was at the CREA-AA Research Unit experimental farm located in southern Italy (Rutigliano–Bari, 41 01’ N, 17°01’ E, altitude 147 m a.s.l.)., characterized by a Mediterranean semi-arid climate (average annual rainfall of 535 mm). The soil is classified as Lithic Rhodoxeralf, with a clay texture, stable structure, shallow profile (0.6–1.1 m) and rapid drainage due to an underlying cracked limestone subsoil. The SOC content averages around 12.0 g kg<sup>−1</sup>. The field capacity and the permanent wilting point volumetric water contents are 0.36 and 0.21 m<sup>3</sup> m<sup>−3</sup>, respectively; with a bulk density of 1.15 Mg m<sup>−3</sup>, the available soil water ranges from 80 to 140 mm.</span></p> <p><span>The studied watermelon crop (seedless var. Lion king), followed a broccoli cabbage crop harvested in April and partially incorporated (0.81 kg m<sup>−2</sup> of fresh biomass in a soil layer depth of 0.30 m, corresponding to 0.69 kgH2O m<sup>−2</sup>) as green manure on 25 May 2023. Main tillage at medium depth ploughing (0.30 m) and seedbed preparation were performed between 25 and 30 May 2023; the biodegradable film mulch (model PC 100 d8, BASF, Italy, 1 m width) was applied on 1 June 2023. On the same day, driplines (2.1 Lh<sup>−1</sup> emitters, 0.60 m apart) and the main organic fertilization (Orga-Kem 6.11.8 + 11CaO, 300 kg ha<sup>−1</sup>) were also applied. The watermelon plants were transplanted on 9 June at a spacing of 2.70 m between rows and 1 m between plants, covering an area of about 4.0 ha, with a density of approximately 3200 plants ha<sup>−1</sup>. Every 6 rows, the inter-row distance was 5 m to facilitate machinery passage. The first irrigation was performed the day before planting. Crop management adhered to the usual treatments in the area including mechanical weed removal every 4 weeks, irrigation around three times per week to maintain optimal soil water conditions and monthly fertigation (ammonium sulphate 50 kg ha<sup>−1</sup>, magnesium nitrate 30 kg ha<sup>−1</sup>, calcium nitrate 60 kg ha<sup>−1</sup>, mycorrhizae 20 kg ha<sup>−1</sup>). The scalar harvest of marketable fruits occurred between 28 and 31 August 2023. After harvesting, on 25 September 2023, the fresh plant residues (0.6 kg m<sup>−2</sup> of fresh biomass, corresponding to 0.49 kgH2O m<sup>−2</sup>), unharvested fruits (4.0 kg m<sup>−2</sup> of fresh material, corresponding to 3.7 kgH2O m<sup>−2</sup>) and the mulching film were chopped by a tractor shredder and ploughed in two steps, on 2 and 13 October 2023, to a soil depth of 0.30 m. Measurements concluded at the end of November 2023, when tillage for the new winter crop commenced.</span></p> <p><span> </span></p> <p><span>Measurements of H<sub>2</sub>O and CO<sub>2</sub> fluxes; partitioning in evaporation, transpiration, photosynthesis and respiration</span></p> <p><span>The eddy covariance technique was employed to monitor water vapor (H<sub>2</sub>O) and carbon dioxide (CO<sub>2</sub>) fluxes. The equipment comprised a three-dimensional sonic anemometer (uSonic 3 Scientific, Metek GmbH, 25337 Elmshorn, Germany) and a fast response open-path infrared gas analyzer (LI-7500, Li-COR Inc., Lincoln, NE, USA). The three wind components, sonic temperature and atmospheric concentrations of CO<sub>2</sub> and H<sub>2</sub>O were continuously measured at 1.5 m above the crop canopy, with the sensor height adjusted to follow crop growth, reaching a maximum of 1.75 m. </span></p> <p><span>Data were recorded at a frequency of 10 Hz on a dedicated computer using the MeteoFlux software (Servizi Territorio, S.n.c., Cinisello Balsamo, Italy) and were stored on an hourly scale. Post-processing and computation of hourly fluxes of H<sub>2</sub>O (mmol m<sup>−2</sup> s<sup>−1</sup>) and CO<sub>2</sub> (</span>μ<span>mol m<sup>−2</sup> s<sup>−1</sup>) were conducted using EddyPro software, v7.0.9 (</span><a href="http://www.licor.com/eddypro"><span>http://www.licor.com/eddypro</span></a><span>), applying 60 min block averaging, double coordinate rotation, the statistical test, the maximum cross-covariance method, and the WPL density correction.</span></p> <p><span>H<sub>2</sub>O and CO<sub>2</sub> fluxes were partitioned into transpiration, evaporation, photosynthesis and respiration, respectively, using the flux variance similarity method. This method utilizes the Monin–Obukhov similarity theory to separate stomatal (photosynthesis, Fp, and transpiration, Ft) from non-stomatal (respiration, Fr, and evaporation, Fe) processes (Palatella et al., 2014). the H<sub>2</sub>O and CO<sub>2</sub> EC fluxes were partitioned using an adaptation of the code in Phyton provided by (Skaggs et al., 2018) and downloaded from <span> </span></span><a href="https://github.com/usda-arsussl/fluxpart"><span>https://github.com/usda-arsussl/fluxpart</span></a><span> (V0.2.10).</span></p>
Dataset for "Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates"
<p>This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates”.</p> <p><strong>Associated Manuscript Abstract:</strong> "The development of fully solution-processed, biodegradable piezoelectrics is a critical step in the development of green electronics towards the worldwide reduction of harmful electronic waste. However, recent printing processes for piezoelectrics are hindered by the high sintering temperatures required for conventional perovskite fabrication techniques. Thus, a process was developed to manufacture lead-free printed piezoelectric devices at low temperatures to enable integration with eco-friendly substrates and electrodes. A printable ink was developed for screen printing potassium niobate (KNbO<sub>3</sub>) piezoelectric layers in microns of thickness at a maximum processing temperature of 120 °C with high reproducibility. Characteristic parallel plate capacitor and cantilever devices were designed and manufactured to assess the quality of this ink and evaluate its physical, dielectric, and piezoelectric characteristics; including a comparison of behavior between conventional silicon and biodegradable paper substrates. The printed layers were 10.7–11.2 μm thick, with acceptable surface roughness values in the range of 0.4–1.1 μm. The relative permittivity of the piezoelectric layer was 29.3. The poling parameters were optimized for the piezoelectric response, with an average longitudinal piezoelectric coefficient for samples printed on paper substrates measured as <em>d</em><sub>33,<em>eff</em>,<em>paper</em></sub> = 13.57 ± 2.84 pC/N; the largest measured value was 18.37 pC/N on paper substrates. This approach to printable biodegradable piezoelectrics opens the way forward for fully solution-processed green piezoelectric devices."</p> <p>The data set consists of the following folders:</p> <ul> <li>Device design files <ul> <li>Contains data associated with the design and fabrication of printed devices.</li> <li>Includes CAD designs of fabricated devices and py files of computational models</li> </ul> </li> <li>Physical characterization data <ul> <li>Contains data associated with characterizing the physical properties of the piezoelectric devices</li> <li>Includes particle size analysis data (SEM images of printed layers, collected dimensional data), Profilometry scans, Layer adhesion, ink density, and rheology data.</li> </ul> </li> <li>Dielectric characterization data <ul> <li>Contains data associated with characterizing the dielectric properties of the piezoelectric devices </li> <li>Includes py analysis script as well as raw data collected for capacitor devices of varying surface area and substrate material</li> </ul> </li> <li>Piezoelectric characterization data <ul> <li>Contains data associated with characterizing the piezoelectric properties of the devices</li> <li>Includes raw data collected from Berlincourt measurements of samples, matlab scripts for analysis of cantilever samples from Laser Doppler Vibrometry, and raw data collected for cantilever samples of device deflection from LDV measurements</li> </ul> </li> </ul> <p>Please refer to the included readme files for a detailed description of the contents.</p>
Caribou-Poker Creeks Research Watershed: Dissolved organic carbon and microbial respiration measurements from biodegradable dissolved organic carbon incubations, summer 2021
This dataset contains dissolved organic carbon (DOC) and microbial respiration measurements taken during lab incubations of water collected from the Caribou-Poker Creeks Research Watershed (CPCRW), with the goal of quantifying the proportion of biodegradable dissolved organic carbon (BDOC) and microbial utilization of DOC. Incubations were conducted in June, July, and August 2021 using water from six stream sites throughout the CPCRW. Incubation experiments were designed to measure responses to carbon and nutrient additions as well as different temperatures.
Protein adsorption on biodegradable mikro/nanofibre materials for tissue engineering
<p><span>Due to their specific properties, nanofibrous materials are increasingly used in regenerative medicine and tissue engineering. Nanofibrous materials can be used as tissue scaffolds for injured (damaged) tissue. The main factor for tissue scaffolds is their biocompatibility. One of the main factors influencing the organism's physiological response is the interaction of the material with proteins. Proteins adsorbed on the material's surface give the tissue scaffolds a "biological identity"</span><span><span>. Cells in the organism subsequently interact with proteins adsorbed on the material's surface and determine the entire organism's response to the implanted material. This work deals with the influence of the morphology and chemical composition of polyester nanofibrous materials on the adsorption of proteins. The materials produced by electrospinning (DC spinning) were characterised from the point of view of morphology and wettability. Then, the adsorption of weakly and strongly bound proteins on the fibre surface was evaluated. Cell adhesion and proliferation on the tested materials were also observed. The results of protein adsorption were compared with the results of cell adhesion and proliferation to determine the effect of the amount of adsorbed proteins on the interaction of cells with the tested materials.</span></span></p>
Ecotoxicity test results for the paper entitled "Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils"
<p>Within the frame of the ELECTRA No. 826244 H2020 project, a microbial electrochemical snorkel (MES) was applied for the treatment of soil contaminated by hydrocarbons at a laboratory scale. The changes in soil ecotoxicity were followed by plant tests applying <em>Sinapis alba</em> and <em>Triticum aestivum</em>. The datasets (supplementary to Figure 7) for this publication are presented here. Referred publication: Carolina Cruz Viggi, Matteo Tucci, Marco Resitano, Bruna Matturro, Simona Crognale, Viktória Feigl, Mónika Molnár, Simona Rossetti, Federico Aulenta, Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils, Science of The Total Environment, 845, 157325, 2022, https://doi.org/10.1016/j.scitotenv.2022.157325.</p>
An Expanded Dataset for Improved Prediction of Chemical Biodegradability
<p>Biodegradability is a crucial factor in assessing the long-term impact of chemicals on the environment. However, experimental testing to determine biodegradability is time-consuming and laborious. To address this issue, <em>in silico </em>approaches such as quantitative structure-activity relationship (QSAR) models are highly encouraged by legislators.</p> <p> </p> <p>European legislators have incorporated chemical persistency in the Registration, Evaluation, and Authorization of Chemicals (REACH) for the assessment of chemicals. However, only 61% of chemicals produced or imported in quantities of over 1000 tons per year have information on biodegradability. As a potential solution, REACH encourages the use of QSAR models to predict the biodegradability of compounds.</p> <p> </p> <p>To encourage the development of QSAR models to predict the biodegradability of compounds, this work extends the "All-Public set," which is an aggregated dataset with information on 2830 compounds from various sources. In this study, we contribute to this dataset by adding information on the biodegradability of 3707 new compounds from the ECHA database, resulting in a larger dataset with the biodegradability information of 6537 compounds.</p> <p> </p> <p>By providing a larger dataset with biodegradability information, we aim to promote the development of more accurate QSAR models for predicting the biodegradability of compounds. This will enable more efficient and effective assessments of the potential impact of chemicals on the environment, facilitating the development of more sustainable and environmentally friendly products.</p>
Photodegradation and biodegradation of dissolved organic carbon from four lakes of varying trophic status in Pennsylvania and Florida in 2016
The enclosed data are results from a series of monthly (May-August) experiments conducted in 2016. We measured changes in five variables (dissolved organic carbon (DOC), dissolved inorganic carbon, dissolved oxygen, the spectral slope ratio, and the DOC specific ultraviolet absorbance at 320 nm). Groundwater samples adjacent to four lakes of varying trophic status were used to assess changes in the above variables due to photodegradation and biodegradation. Three lakes (Lacawac, Giles, and Waynewood) are located in the Pocono region of Pennsylvania. The fourth lake (Annie) is located in Venus, FL. Details of the experiment can be found in Dempsey et al. 2020 (accepted at Biogeosciences). In this study, we used groundwater (terrestrial DOC) to simulate storm water inputs to the surface of a lake. We assessed the relative importance of photodegradation and biodegradation by measuring changes in the above variables. All experiments were conducted on the surface of Lake Lacawac (PA). Here, we provide our raw data from the experiments. Outgassing of carbon dioxide (CO2) from freshwater ecosystems comprises 12-25% of the total carbon flux from soils and bedrock. This CO2 is largely derived from both biodegradation and photodegradation of terrestrial dissolved organic carbon (DOC) entering lakes from wetlands and soils in the watersheds of lakes. In spite of the significance of these two processes in regulating rates of CO2 outgassing, their relative importance remains poorly understood in lake ecosystems. In this study, we used groundwater from the watersheds of one subtropical and three temperate lakes of differing trophic status to simulate the effects of increases in terrestrial DOC from storm events. We assessed the relative importance of biodegradation and photodegradation in oxidizing DOC to CO2. We measured changes in DOC concentration, colored dissolved organic carbon (SUVA320 and Sr), dissolved oxygen, and dissolved inorganic carbon (DIC) in short-term experiment
Research data supporting "Electrospun aniline-tetramer-co-polycaprolactone fibres for conductive, biodegradable scaffolds"
<p>Research data supporting the publication: Guex, A.G. et al., 2017, "Electrospun aniline-tetramer-<em>co</em>-polycaprolactone fibres for conductive, biodegradable scaffolds", MRS Communications. https://doi.org/10.1557/mrc.2017.45</p> <p> </p>
Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion - NCN Poland Project - Dataset Feb.2024
<p>Dataset contains results obtained during the first year of the project No. 2021/40/C/ST5/00071 "Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion" funded by NCN Poland. </p> <p>The dataset contains: SEM, TEM, nanoindentation, hardness and uniaxial tensile testing results. </p>
A novel flow chamber for biodegradable alloy assessment in physiologically realistic environments: Supporting Data
<p>Experimental data including Excel analysis and microscopy supporting the publication 'A novel flow chamber for biodegradable alloy assessment in physiologically realistic environments' <a href="https://doi.org/10.1063/1.4821498" target="_blank" rel="noopener">https://doi.org/10.1063/1.4821498</a></p>
Figure 4 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 4. Mean (± SE) count of new shoots for macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 1 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 1. Median degradation score depicting visual biodegradation stages and/or resumption of growth for four different species of macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Bars signify minimum and maximum scores attained. The dashed line highlights a score of 5, which indicates no meaningful deterioration of the plant tissues or resumption of growth has occurred. Scores of 0–4 portray incremental levels of degradation, while noting the presence of sustained viability. Scores of 6–10 denote plant tissue degradation stages that lack viability in relation to the resumption of new growth. See Table 3 for description of the score categories. Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 3 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 3. Mean (± SE) count of new roots for macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 2 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 2. Median degradation score depicting visual biodegradation stages and/or resumption of growth for fragmentary propagules of Hydrocotyle ranunculoides at 21 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen, thirty or sixty minutes (n = 3 per treatment). Bars signify minimum and maximum scores attained. The dashed line highlights a score of 5, whereby no meaningful deterioration of the plant tissues or resumption of growth has occurred. Scores of 0–4 portray incremental levels of degradation, while noting the presence of sustained viability. Scores of 6–10 denote plant tissue degradation stages which lack of viability in relation to the resumption of new growth. See Table 3 for description of the score categories. Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
Figure 5 in Tomorrow Never Dies: biodegradation and subsequent viability of invasive macrophytes following exposure to aquatic disinfectants
Figure 5. Mean (± SE) relative growth rate for new shoot growth produced by macrophyte fragmentary propagules at 28 days post exposure to aquatic disinfectants, for 0% (0 g L-1), 2% (20 g L-1) and 4% (40 g L-1) solutions of selected aquatic disinfectants. Fragments were submerged for five, fifteen or thirty minutes (n = 3 per treatment). Cont. = Control; Virk = Virkon® Aquatic; Vira = Virasure® Aquatic.
ScienceDex guides
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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.