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1,196 results for “Minerals”
Fig. 5 in Phyllocnistis hemera sp. nov. (Lepidoptera: Gracillariidae): a new species of leaf-miner associated with Daphnopsis fasciculata (Thymelaeaceae) in the Atlantic Forest
Fig. 5. Scanning electron micrographs of P. hemera spinning larva: (A, B) head, dorsal and ventral views; (C) spinneret, antero-lateral (arrow indicates functional aperture); (D) head, lateral; (E) detail of trophic lobe, dorsal; (F) prothoracic shield, dorsal; (G) prothoracic spiracle, lateral; (H) antenna, anterior; (I) meso- and metathoracic calli, ventral; (J) mesothoracic callus in detail (indicated by rectangle in I), ventral; (K) abdominal segments Ab 7-10, dorsal; (L) latero-sensillum indicated by arrow in K, dorsal; (M) abdominal segment Ab 7, ventral (arrow indicates one of the calli); (N) callus in detail, ventral (indicated by arrow in M); (O) last abdominal segment, ventral. Scale bars: 200 (A, B, D, E, K), 150 (C,F), 10 (G, N), 20 (H, L), 250 (I), 80 (J, O), 100 µm (M).
Fig. 3 in Phyllocnistis hemera sp. nov. (Lepidoptera: Gracillariidae): a new species of leaf-miner associated with Daphnopsis fasciculata (Thymelaeaceae) in the Atlantic Forest
Fig. 3. Larval and pupal morphology of P. hemera under light microscopy: (A) sap-feeding larva, dorsal and ventral views; (B) spinning larva, dorsal and ventral; (C) pupa, dorsal, ventral and lateral, respectively. Scale bars: 500 µm.
Fig. 1 in Phyllocnistis hemera sp. nov. (Lepidoptera: Gracillariidae): a new species of leaf-miner associated with Daphnopsis fasciculata (Thymelaeaceae) in the Atlantic Forest
Fig. 1. Adult of Phyllocnistis hemera, dorsal view: (A) wings spread, pinned and dried (LMCI 306-47); (B) wings folded, on Daphnopsis fasciculata leaf surface. Scale bars: 1 mm.
Fig. 6 in Phyllocnistis hemera sp. nov. (Lepidoptera: Gracillariidae): a new species of leaf-miner associated with Daphnopsis fasciculata (Thymelaeaceae) in the Atlantic Forest
Fig. 6. Scanning electron micrographs of P.hemera pupa: (A) head, lateral view; (B) setae over clypeus, ventral; (C, D) cocoon-cutter, ventral and dorsal; (E) terga of abdominal segments Ab 3-4, dorsal; (F) detail of segment Ab 3, dorsal; (G) lateral seta with fine apex, adjacent to spiracle on abdominal segment Ab 4, dorsal; (H) lateral seta of Ab 7 with clavate apex, dorsal; (I) detail of tergum of Ab 3, lateral; (J–L) last abdominal segments, lateral, dorsal and ventral. Scale bars: 200 (A), 80 (B), 100 (C, D, G, K, L), 400 (E), 150 µm (F, H, I, J).
Fig. 2. P in Phyllocnistis hemera sp. nov. (Lepidoptera: Gracillariidae): a new species of leaf-miner associated with Daphnopsis fasciculata (Thymelaeaceae) in the Atlantic Forest
Fig. 2. P. hemera genitalia under light microscopy: (A–D) male genitalia; (E–G) female genitalia. (A) apex of left valva, mesal view (LMCI 319-69); (B) left corema, ventral (LMCI 306-26); (C) male genitalia, ventral; (D) aedeagus, lateral (LMCI 306-36); (E) female genitalia, ventral; (F) female last abdominal segments, lateral (LMCI 306-49) with the ostium bursae indicated by arrow; (G) signum in detail, ventral (LMCI 306-49). Scale bars: 50 (A, B, D), 100 (C, F, G), 400 µm (E).
Dataset for: On the Nature of Hydrophobic Organic Compound Adsorption to Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions
<p><br>This dataset contains all data obtained from first principle DFT calculations at the PBE-D3 DFT level<br>by the program VASP for the paper published in the journal "Minerals". Please cite this article when using the dataset.<br><br>Title: "On the Nature of Hydrophobic Organic Compound Adsorption<br>to Smectite Minerals Using the Example of Hexachlorobenzene-Montmorillonite Interactions."</p> <p>Authors: Peter Grancic, Leonard Böhm, Martin H. Gerzabek, and Daniel Tunega <br>DOI10.3390/min13020280. </p> <p><br>The model systems are Ca-montmorillonite (Ca-Mt) models with varying layer charge from the Mg/Al substitutions.<br>Calculated are interaction energies of hexachlorobenzene (HCB) with Ca-Mt models in various configurations.<br>QE.dat file is file with collected energies of all models, Collect_QE.py is a selfmade python file for the collection of energies.<br>The structure of all directories is as following:<br>HCBCaxxx directories contain optimized HCB-CaMt complexes<br>HCBCaxxx_Clay directories contain pure CaMt models<br>HCBCaxxx_HOC directories contain only HOC molecule<br>Each directory contains:<br>-input geometry data (POSCAR file)<br>-optimized geometries (CONTCAR.norm file)<br>-input parameters for VASP (INCAR file)<br>-k-points (KPOINTS file)<br>-complete output files (OUTCAR.norm and vasprun.xml.norm files)<br>POTCAR file with pseudopotentials are not provided due to copyright rights.<br>Their type can be found in OUTCAR or vasprun.xml files.</p> <p>Funding: This work has been supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), grant number 443637168, BO5388/1–1 and Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung, FWF), grant number I 4876–N in the bilateral project ”Clay minerals as sorbents for hydrophobic organic chemicals – ClayHOC”. The results<br>presented have been achieved using the Vienna Scientific Cluster (VSC), project number 70544.</p> <p>Terms of use: These data are provided "as is", without any warranty. This dataset is provided under the Creative Commons Attribution 4.0 International license.</p>
Dataset for article: Adsorption of the hydrophobic organic pollutant hexachlorobenzene to phyllosilicate minerals
<p>This repository contains data obtained from first principle DFT calculations at the PBE-D3 DFT level<br>by the program VASP for the research article </p> <p><br>Title: "Adsorption of the hydrophobic organic pollutant hexachlorobenzene to phyllosilicate minerals"<br>published in Environmental Science and Pollution Research (2023) 30:36824–36837.</p> <p>Authors: Leonard Böhm, Peter Grančič, Eva Scholtzová, Benjamin Justus Heyde, Rolf-Alexander Düring, Jan Siemens, Martin H. Gerzabek & Daniel Tunega.</p> <p>Please cite that article when using this dataset.</p> <p>The systems in the dataset are models of Me-montmorillonite layers (Me = Li, Na, K, Rb, Cs, Mg, Ca, Sr, Ba)<br>interacting with hexachlorobenzene (HCB) molecule. Calculated are interaction energies of optimized geometries of HCB...Me-Mnt complexes. Dateset contains tables with collected calculated adsorption energies and main geometrical paramters.<br>The structure of dataset is following:<br>Rep_Ads_I directory contains directories for HCB molecule, and for complexes of HCB with Li-Mnt to Rb-Mnt. Each directory of complexes contains corresponding directory of isolated Me-Mnt layer. The second directory, Rep_ads_II has the same structure as Rep_Ads_I directory for Me=Mg, Ca, Sr, and Ba.<br>In each directory are the main files for VASP calculations:<br>input geometry data (POSCAR.norm file)<br>optimized geometry (CONTCAR.norm file)<br>input parameters for VASP (INCAR file)<br>k-points (KPOINT file)<br>complete output files (OUTCAR.norm and vasprun.xml.norm files)<br>POTCAR file with pseudopotentials are not provided due to copyright restrictions. Their type can be found in OUTCAR file or vasprun.xml file.</p> <p>Funding: This work has been supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), grant number 443637168, BO5388/1–1 and Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung, FWF), grant number I 4876–N in the bilateral project ”Clay minerals as sorbents for hydrophobic organic chemicals – ClayHOC”. The results<br>presented have been achieved using the Vienna Scientific Cluster (VSC), project number 70544.</p> <p>Terms of use: These data are provided "as is", without any warranty. This dataset is provided under the Creative Commons Attribution 4.0 International license.</p>
Location and caller familiarity influence mobbing behaviour and the likely ecological impact of noisy miners around colony edges
<p>Mobbing is a widespread, vocally coordinated behaviour where species approach and harass a threat. The noisy miner (<em>Manorina melanocephala</em>) is a notorious native Australian honeyeater, well-known for its hyperaggressive mobbing. Numerous studies have identified negative impacts of their mobbing behaviour, highlighting the exclusion of competitors from colony areas and the resulting loss of woodland-bird biodiversity. Despite this, few studies have investigated mobbing itself, and our understanding of the factors which influence its expression remains limited. Here, we use a field-based playback experiment to investigate whether mobbing responses vary in relation to colony borders and caller familiarity. Noisy miners were more likely to respond, reacted more quickly, and responded more strongly to mobbing calls broadcast inside as opposed to outside the colony. These behavioural differences likely arise from variation in the relative costs and benefits of responding. When noisy miners did mob outside the colony, more individuals joined in response to unfamiliar as opposed to familiar callers. Our results reveal that noisy miner mobbing may not be as indiscriminate as often assumed, with caller familiarity and location influencing this behaviour. We suggest there are benefits to greater consideration of the factors impacting noisy miner mobbing behaviour.</p>
Radiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Mineral Soils of a Boreal Forest Ecosystem
<p><span>Files for the manuscript “</span><span>Radiocarbon Isotopic Disequilibrium Shows Little Incorporation of New Carbon in Soils and Fast Cycling of a </span><span>Boreal</span><span> Forest Ecosystem”</span></p> <p> </p> <p>1. “Raw_Data” folder contains the files in .xlsx:</p> <p>- Lab_Atmospheric_Samples: D14C results from ambient air at the sampled heights.</p> <p>- Lab_Soil_Respiration: D14C results with date and integration time for the FFSR sampling<span> </span>campaign.</p> <p>- Lab_Solid_Samples:<span> </span>D14C and TOC results for soil, vegetation, roots, fungi and incubation samples.</p>
Byproduct-to-host ratios for assessing the accessibility of mineral resources
<p>This repository contains the supplementary information files of the article "Byproduct-to-host ratios for assessing the accessibility of mineral resources", published in the journal Environmental Sciences & Technology. This version of SI files is more documented than the previous one and with reference added to the article.</p> <ul> <li>"SI_1_BtH_ratios_v0.1.xlsx" contains both input data and results of the article</li> <li>"SI_2_Historic_prices.xlsx" contains the historical market price of mineral resources covered in the study</li> <li>"SI_3_Representavity_dataset.xlsx" containts the dataset required to evaluate the representativity of the dataset with regards to alternative estimates in the literature</li> <li>"SI_4_RR_LitReview.xlsx" show the data collected during the literature review of minerals recovery rates along global supply chains</li> <li>"SI_5_Production_2021.xlsx" provides the primary production of minerals in 2021</li> <li>"SI_6_Host_byproduct_Greffe2024.docx" provides additional information on the methodology and data collection</li> <li>"SI_7_Representativity_results.xlsx" contains the output results of the representativity check, using data from supporting information 1 and supporting information 3</li> </ul> <p>BtH ratios are obtained using "ResC" data in "SI_1_BtH_ratios_v0.1.xlsx" and using the byproduct_host_ratio python class available at: https://github.com/TitouanGreffe/BtH_ratios</p> <p>Article here: <a title="DOI URL" href="https://doi.org/10.1021/acs.est.4c05293">https://doi.org/10.1021/acs.est.4c05293</a></p>
As-bearing Minerals Raw PXRD Data
<p>This dataset includes raw powder X-ray diffraction data for arsenic-bearing reference minerals, an empty kapton capillary for background subtraction, and, LaB6 for the calibration of instrument parameters. This data was collected at the Canadian Macromolecular Crystallography Facility, beamline 08B1-1, at the Canadian Light Source. </p>
Release and mineral formation of lead corrosion products with orthophosphate-polyphosphates
<p>Raw data from CSTR and batch experiments</p>
Climate-driven thermal opportunities and risks for leaf miners in aspen canopies
In tree canopies, incoming solar radiation interacts with leaves and branches to generate temperature differences within and among leaves, presenting thermal opportunities and risks for leaf-dwelling ectotherms. Although leaf biophysics and insect thermal ecology are well understood, few studies have examined them together in single systems. We examined temperature variability in aspen canopies, Populus tremuloides, and its consequences for a common herbivore, the leaf-mining caterpillar Phyllocnistis populiella. We shaded leaves in the field and measured effects on leaf temperature and larval growth and survival. We also estimated larval thermal performance curves for feeding and growth and measured upper lethal temperatures. Sunlit leaves directly facing the incoming rays reached the highest temperatures, typically 3 – 8 °C above ambient air temperature. Irradiance driven increases in temperatures, however, were transient enough that they did not alter observed growth rates of leaf miners. Incubator and ramping experiments suggested that larval performance peaks between 25 and 32 °C and declines to zero between 35 and 40 °C, depending on duration of temperature exposure. Upper lethal temperatures during one-hour heat shocks were 42 – 43 °C. When larvae were active in early spring, temperatures generally were low enough to depress rates of feeding and growth below their maxima, and only rarely did estimated mine temperatures rise beyond optimal temperatures. Observed leaf or mine temperatures never approached larval upper lethal temperatures. At this site during our experiments, larvae thus appeared to have a significant thermal safety margin; the more pressing problem was inadequate heat. Detailed information on mine temperatures and larval performance curves, however, allowed us to leverage long-term data sets on air temperature to estimate potential future shifts in performance and longer-term risks to larvae from lethally high temperatures. This analysis suggests that, in the past 20 years, larval performance has often been limited by cold and that the risk of heat stress has been low. Future warming will raise mean rates of feeding and growth but also the risk of exposure to injuriously or lethally high temperatures.
Mining minerals and critical raw materials from bittern: Understanding metal ions fate in saltwork ponds
<p>Seawater represents a potential resource for raw materials extraction. Although NaCl is the most representative mineral<br> extracted other valuable compounds such as Mg, Li, Sr, Rb and B and elements at trace level (Cs, Co, In, Sc, Ga and<br> Ge) are also contained in this “liquid mine”. Most of them are considered as Critical Raw Materials by the European<br> Union. Solar saltworks, providing concentration factors of up-to 20 to 40, offer a perfect platform for the development<br> of minerals and metal recovery schemes taking benefit of the concentration and purification achieved along the evaporation<br> saltwork ponds.<br> However, the geochemistry of these elements in this environment has not been yet thoroughly evaluated. Their knowledge<br> could enable the deployment of technologies capable to achieve the recovery of valuable minerals. The high ionic<br> strengths expected (0.5–7 mol/kg) and the chemical complexity of the solutions imply that only numerical geochemical<br> codes, as PHREEQC, and the use of Pitzer model to estimate the activity coefficients of the different species in solution<br> can be adopted to provide valuable description of the systems.<br> In the present work, for the first time, PHREEQC Pitzer code database was extended to include the target minor and<br> trace elements using Trapani saltworks (Sicily, Italy) as a case study system. The model was able to predict: i) the purity<br> in halite and the major impurities contained, mainly Ca,Mgand sulphate species; ii) the fate of minor components as B,<br> Sr, Cs, Co, Ge and Ga along the evaporation ponds. The results obtained pose a fundamental step in critical raw materials<br> mining from seawater brine, for process intensification and combination with desalination.</p>
Text-fig. 10. Carpolithes (a–j). a–d: Carpolithes sp. 10. USNM PAL 772375. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of one face of structure; note adherent mineral material. Longitudinal groove is to right. b: Lateral view of one edge of the structure. c: Opposite view from (b), note groove in upper half of the specimen, facing viewer. d: Apical view. e–j: Carpolithes sp. 11. USNM PAL 772376. Scale bar = 5 mm, micro-CT scan surface views. e: Structure in face view showing central protuberance. f: Same, lateral view. g: Opposite face from (e). h: Opposite face from (f). i: View from one end. j: View from opposite end from (i). in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 10. Carpolithes (a–j). a–d: Carpolithes sp. 10. USNM PAL 772375. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of one face of structure; note adherent mineral material. Longitudinal groove is to right. b: Lateral view of one edge of the structure. c: Opposite view from (b), note groove in upper half of the specimen, facing viewer. d: Apical view. e–j: Carpolithes sp. 11. USNM PAL 772376. Scale bar = 5 mm, micro-CT scan surface views. e: Structure in face view showing central protuberance. f: Same, lateral view. g: Opposite face from (e). h: Opposite face from (f). i: View from one end. j: View from opposite end from (i).
Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere.
Thermodynamic database and calculator of free energies and potentials for redox reactions involving iron minerals in aqueous media (IMTD)
<p>Database of free energies of formation for iron minerals and associated aqueous species, which are used in a tableu style spreadsheet to calculate free energies of redox reactions involving iron minerals, which in turn are used to calculate free energies and formal potentials for these reactions, under specified environmental conditions.</p> <p>The database and calculators were assembled by students and postdocs (Jeff Hudson, Ania Pavitt, Ying Lan, and Miranda Bradley) working under direction of Professor Paul G. Tratnyek at the Oregon Health & Science University, Portland, Oregon, USA. Drew Latta, Thomas Robinson, and Michelle Scherer contributed to the database and extended the calculations.</p> <p>Early versions of this tool were used in several publications, including (i) Fan, D., Y. Lan, P. G. Tratnyek, R. L. Johnson, J. Filip, D. M. O'Carroll, A. N. Garcia, and A. Agrawal. 2017. <em>Environ. Sci. Technol.</em> 51(22): 13070–13085. [DOI: 10.1021/acs.est.7b04177] and (ii) Bradley, M. J., and P. G. Tratnyek. 2019. <em>ACS Earth & Space Chemistry</em> 3(3): 688-699. [DOI: 10.1021/acsearthspacechem.8b00200].</p> <p>This tool is provided as a spreadsheet in .xlsx format. The file includes six sheets. The first contains background, constants, and calculations that apply throughout the remaining tabs. The second contains free energies of formation from various authoritative sources, and a mechanism for designating “recommend values”. The third contains a tableu that calculates free energies of redox reactions using the recommended free energy of formation and user-specified stoichiometries. The fourth calculates free energies and formal potentials of the redox reactions using the standard potentials, and specific solution conditions. The last tab summarizes previous published formal potentials from a variety of sources. </p> <p>While the database was checked thoroughly, it still is unlikely to be completely accurate. For critical applications, we recommend that you track-down the primary sources (listed on the first tab of the spreadsheet) and use them for data, conditions, and other caveats. Obviously, we do not accept any responsibility for what anyone does with information obtained from this document.</p> <p>In the future, if significantly corrections or additions are made to this document, we may publish it here as new versions. If the contributions of others result in major improvements, we are open to adding new authors to those versions. Feel free to contact us with corrections, suggests, or offers to help.</p> <p>The development of this version of the tool was funded through grants from the Strategic Environmental Research and Development Program (SERDP) and the U.S. Department of Energy.</p>
Data for "Spectro-photometry of Phobos simulants: I. Detectability of hydrated minerals and organic bands"
<p>Data underlying the paper: "Spectro-photometry of Phobos simulants: I. Detectability of hydrated minerals and organic bands". The dataset contains visible, near-infrared, and mid-infrared spectra of various samples, including phyllosilicates, coals, and Phobos simulants. Measurements at different observation geometries are available for the Phobos simulants in the visible and near-infrared.</p>
Growth, nutrient uptake, blood metabolites and bone properties in broilers consuming feed with mineral-enriched whole black soldier fly larvae
<p>Recycling critical minerals like phosphorus is essential for future circular agriculture. This study explored adding mineral-enriched black soldier fly larvae (BSFL), grown on substrates with sewage sludge recyclates (SSR), to broiler feed to reintroduce minerals from restricted waste streams into the nutrient cycle. Results showed that including 15% mineral-enriched BSFL in broiler diets for 42 days had no adverse effects on growth, nutrient intake, or bone condition, and maintained acceptable levels of heavy metals.</p>
Figure 2 in Influence of Mycorrhizae and Irrigation on Growth and Mineral Uptake by Corn (Zea mays L.) Seedlings in a Calcareous Soil
Figure 2. Average of macronutrients N, P, K, Mg, and Ca uptake (mg/plant) by shoots of corn seedlings grown in Guam cobbly clay soil, either inoculated (■) or not inoculated (♦) with Glomus aggregatum and provided one of four volumes of water: W1=7200 mL, W2=3600 mL, W3=1800 mL, and W4=900 mL during the 3-week experiment. Crossbars represent standard deviations of means of four replications.
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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.