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12,393 results for “materiality”
Supplementary material 1 from: Lobban CS, Ashworth MP, Camacho T, Lam DW, Theriot EC (2022) Revision of Ardissoneaceae (Bacillariophyta, Mediophyceae) from Micronesian populations, with descriptions of two new genera, Ardissoneopsis and Grunowago, and new species in Ardissonea, Synedrosphenia and Climacosphenia. PhytoKeys 208: 103-184. https://doi.org/10.3897/phytokeys.208.89913
Table S1. Metadata for strains used in the molecular phylogenetic analysis, including strain extraction voucher ID and GenBank accession numbers
LMAS Supplemental Material
<p><a href="https://github.com/cimendes/LMAS">LMAS</a> is an automated workflow enabling the benchmarking of traditional and metagenomic prokaryotic de novo assembly software using defined mock communities.</p> <p>As proof of concept, the eight bacterial genomes and four plasmids, in tripled form, of the ZymoBIOMICS Microbial Community Standards are made available to be used as reference. Simulated raw sequence data of the mock communities with evenly distributed reads, generated from the reference genomes, with and without error, were obtained with <a href="https://github.com/HadrienG/InSilicoSeq">inSilicoSeq</a>.</p> <p>Project repository: <a href="https://github.com/cimendes/LMAS">https://github.com/cimendes/LMAS</a></p>
Machine learning for Material Science 2022 - Neural Networks Assignment Dataset
<p>Data for the neural network assignment</p> <p> </p>
OQM9HK: A Large-scale Graph Dataset for Machine Learning in Materials Science
<p>This is a large-scale graph dataset of materials science based on the Open Quantum Materials Database (OQMD) v1.5 .</p> <p><a href="https://storage.googleapis.com/rimcs_cgnn/oqm9hk_dataset_Sep_30_2022.pdf" target="_blank" rel="noopener">Technical Report</a></p> <p><a href="https://www.rimcs.co.jp" target="_blank" rel="noopener">RIMCS Website</a></p> <p><strong>Data Loading</strong></p> <p>A Python code example:</p> <pre><code>import sys sys.path.append('/your/path/to/data/OQM9HK_BEL') import OQM9HK bel_path='/your/path/to/data/OQM9HK_BEL' config = OQM9HK.load_config(path=bel_path) print(config['atomic_numbers']) split = OQM9HK.load_split(path=bel_path) print(len(split['train']), len(split['val']), len(split['test'])) graph_data = OQM9HK.load_graph_data(path=bel_path) name = next(iter(graph_data)) # Frist entry's name graph = graph_data[name] # Graph object print(graph.nodes) print(graph.edge_sources) print(graph.edge_targets) dataset = OQM9HK.load_targets(path=bel_path) # Pandas dataframe print(dataset) train_set = dataset.iloc[split['train']] val_set = dataset.iloc[split['val']] test_set = dataset.iloc[split['test']]</code></pre> <p> </p>
Digitization_material_from_Krefeld_Town_Museum_Mingei
<p>Documentation material from the Silk pilot of the Mingei project</p>
Digitization_material_from_Krefeld_Suitcase_Photos_Mingei
<p>Documentation material from the Silk pilot of the Mingei project</p>
Supplementary material 1 from: Guilder J, Copp GH, Thrush MA, Stinton N, Murphy D, Murray J, Tidbury HJ (2022) Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 73-108. https://doi.org/10.3897/neobiota.76.80215
Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites
Supplementary material 1 from: Mumladze L, Kuljanishvili T, Japoshvili B, Epitashvili G, Kalous L, Vilizzi L, Piria M (2022) Risk of invasiveness of non-native fishes in the South Caucasus biodiversity and geopolitical hotspot. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 109-133. https://doi.org/10.3897/neobiota.76.82776
Combined AS-ISK report including the 96 screenings for the 32 fish species screened for the South Caucasus
Supplementary material 1 from: Marić A, Špelić I, Radočaj T, Vidović Z, Kanjuh T, Vilizzi L, Piria M, Nikolić V, Škraba Jurlina D, Mrdak D, Simonović P (2022) Changing climate may mitigate the invasiveness risk of non-native salmonids in the Danube and Adriatic basins of the Balkan Peninsula (south-eastern Europe). In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 135-161. https://doi.org/10.3897/neobiota.76.82964
Combined AS-ISK report including the 68 screenings for the 17 salmonid species screened for the Danube and Adriatic basins of Bosnia and Herzegovina, Croatia, Montenegro and Serbia (including Kosovo)
Supplementary material 2 from: Piria M, Radočaj T, Vilizzi L, Britvec M (2022) Climate change may exacerbate the risk of invasiveness of non-native aquatic plants: the case of the Pannonian and Mediterranean regions of Croatia. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 25-52. https://doi.org/10.3897/neobiota.76.83320
Combined AS-ISK report for the 24 non-native aquatic plant species screened for their potential risk of invasiveness in the Pannonian and Mediterranean regions of Croatia.
Supplementary material 1 from: Symes LB, Madhusudhana S, Martinson SJ, Kernan CE, Hodge KB, Salisbury DP, Klinck H, ter Hofstede H (2022) Estimation of katydid calling activity from soundscape recordings. Journal of Orthoptera Research 31(2): 173-180. https://doi.org/10.3897/jor.31.73373
Supplementary material 1 from: Symes LB, Madhusudhana S, Martinson SJ, Kernan CE, Hodge KB, Salisbury DP, Klinck H, ter Hofstede H (2022) Estimation of katydid calling activity from soundscape recordings. Journal of Orthoptera Research 31(2): 173-180. https://doi.org/10.3897/jor.31.73373
Utilizing woody materials for fungal-based management of soil nitrogen pools
<p><span>Application of nitrogen fertilizers to reach high crop production is common practice. However, this can come with an environmental cost, irrespectively of the synthetic or organic origin of the nitrogen fertilizer. Intensively managed soils often fail to retain excess nitrogen, which leads to contamination of ground- and surface water. Next to abiotic factors like soil texture, limited nitrogen retention is ascribed to low activity of saprotrophic fungi. It has been shown that amendment of arable soils with cellulose-rich materials can effectively stimulate resident saprotrophic fungi. The current study investigated the relationship between fungal dynamics (biomass, composition) and nitrogen immobilization-remobilization dynamics upon soil amendment with woody materials Mineral nitrogen pools, ergosterol and ITS2 amplicon sequences were analyzed during a 6-months pot experiment. Carbon-rich amendments included sawdusts of deciduous (beech, willow) and coniferous (Douglas fir, larch) tree species, beech wood chips, wheat straw and combinations of these materials. Excess nitrogen derived from addition of either mineral or organic fertilizer.</span></p> <p><span>Deciduous wood sawdust resulted in rapid stimulation of fungal biomass, mainly consisting of saprotrophic Sordariomycetes. This was accompanied by a reduction in the mineral N pool equivalent to 24–60 kg N ha<sup>-1 </sup>for four to over six months. The intensity of nitrogen immobilization depended on sawdust application rate and the type of fertilizer. Single amendments of coniferous sawdust and beech wood chips had minor effects, but led to prolonged nitrogen retention when combined with beech sawdust. </span></p> <p><span>Our conclusion is that, fungus-stimulating woody soil amendments have great potential to increase nitrogen use efficiency in arable soils. </span></p>
Fig. 1 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 1. Adult female paratype of the cuckoo wasp Chrysis parabrevitarsis n. sp. (Germany, Rhineland-Palatinate, Bellheim, 10 June 2012; voucher ID: ZFMK-TIS-36479), Photograph: O. Niehuis.
Fig. 4 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 4. Exemplar chromatograms showing diagnostic differences (specified inTables 1 and 2) between the cuticular hydrocarbon profiles of Chrysis parabrevitarsis n. sp. and Chrysis pseudobrevitarsis in the female (A) and male (B) sex. The x-axis represents the retention time shown in form of Kovats retention indices (Kováts 1958), the y-axis shows the total intensity of ions (TIC). Diagnostic alkenes are indicated with their Kovats retention index (Kováts 1958) in parentheses to differentiate them from alkenes with the same chain length but differing in the location of their double bond.
Fig. 3 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 3. Two-dimensional non-metric multidimensional scaling (NMDS) ordination of Bray-Curtis dissimilarities between cuticular hydrocarbon (CHC) profiles of males and females of the cuckoo wasps Chrysis parabrevitarsis n. sp. (6 ♂♂, 25 ♀♀) and Chrysis pseudobrevitarsis (6 ♂♂, 11 ♀♀) as well as of three vespid wasps known to serve as hosts of these two cuckoo wasps, Ancistrocerus antilope (23 ♂♂, 17 ♀♀), Euodynerus notatus (13 ♂♂, 11 ♀♀), and Euodynerus quadrifasciatus (14 ♂♂, 14 ♀♀). Note that the plot includes the CHC profile data of the holotype of C. parabrevitarsis n. sp. and CHC profile data of the lectotype of C. pseudobrevitarsis.
Fig. 2 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 2. Neighbor-joining tree inferred from Kimura-2-parameter nucleotide sequence distances between COI haplotypes of Chrysis parabrevitarsis n. sp. (blue branches), Chrysis brevitarsis and Chrysis pseudobrevitarsis (yellow branches). Support values are based on 10 000 bootstrap replicates. Acronyms in capital letters after the species names specify the country of origin: Belorussia (BLR), Estonia (EST), Finland (FIN), Germany (GER), Lithuania (LIT), Norway (NOR), Russia (RUS), and Sweden (SWE). Sample IDs are given in parentheses.
Fig. 7 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 7. SEM micrographs of antennal flagellomeres (F) 4–6 in females of Chrysis pseudobrevitarsis (top, voucher ID: TUZ117252) and Chrysis parabrevitarsis n. sp. (bottom, voucher ID:TUZ102387).
Fig. 6 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 6. Shape of the internal metasomal segments (T4–T7 and S4–S6) of female Chrysis parabrevitarsis n. sp. (voucher ID:TUZ102402). Scale bar: 1.0 mm.
Material Experimental - Comparison of Goal-oriented Analysis Techniques
<p>Experimental material and dataset used to compare GRL-Quant and VeGAn techniques.</p>
FIGURE 7 in Larval development of the crab Amphithrax hemphilli (Rathbun, 1892) (Decapoda, Brachyura, Mithracidae) described from laboratory-reared material
FIGURE 7. Cladogram of species of Mithrax and allies for the megalopa stage, with phylogeny constructed from Windsor & Felder (2014) and Assugeni et al. (2017). Characteristics: (1) setae on the peduncle of the antennule; (2) aesthetascs on the exopod of the antennule; (3) setation of the antenna; (4) setae on the palp of the mandible; (5) setae on the coxal endite of the maxillule; (6) setae on the basial endite of the maxillule; (7) setae on the endopod of the maxillule; (8) setae on the epidod of the maxillule; (9) setae on the coxal endite of the maxilla; (10) setae on the basial endite of the maxilla; (11) setae on the endopod of the maxilla; (12) setae on the scaphognathite of the maxilla; (13) setae on the basis of the first maxilliped; (14) setae on the endopod of the first maxilliped; (15) setae on the exopod of the first maxilliped; (16) setae on the endopod of the second maxilliped; (17) setae on the exopod of the second maxilliped; (18) setae on the coxa of the third maxilliped; (19) setae on the basischium of the third maxilliped; (20) setae on the endopod of the third maxilliped; (21) setae on the exopod of the third maxilliped, and (22) setae on the pleon. Different colors indicate differences among species; equal colors indicate similarity.
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.