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1,351 results for “Intermediates”
FIGURES 14–16. Stegodexamine anguillae. 14 in Faunal survey and identification key for the trematodes (Platyhelminthes: Digenea) infecting Potamopyrgus antipodarum (Gastropoda: Hydrobiidae) as first intermediate host
FIGURES 14–16. Stegodexamine anguillae. 14, Redia, EtOH-fixed and acetocarmine-stained. Scale bar = 100. 15, Cercaria, live. Scale bar = 100. Numerical scale division = 10. 16, Close-up of live cercaria body to better indicate the four pairs of penetration glands. Scale bar = 100. Numerical scale division = 5.
FIGURES 30–32 in Faunal survey and identification key for the trematodes (Platyhelminthes: Digenea) infecting Potamopyrgus antipodarum (Gastropoda: Hydrobiidae) as first intermediate host
FIGURES 30–32. Virgulate sp. I. 30, Sporocysts, live (Taieri River voucher). Scale bar = 100. Numerical scale division = 10. 31, Cercaria, live (Taieri River voucher). Scale bar = 100. Numerical scale division = 2.5. 32, Close up of cercaria oral stylet showing oral stylet, live (Grey River voucher). Scale bar = 10.
FIGURE 1 in First molecular identification of Australapatemon burti (Miller, 1923) (Trematoda: Digenea: Strigeidae) from an intermediate host Radix labiata (Rossmaessler) (Gastropoda: Lymnaeidae) in Europe
FIGURE 1. Neighbor joining (NJ) cluster analysis of ITS2 sequences of Australapatemon burti and two other digenean species. Bootstrap values (500 replicates) are shown above the branches. The scale bar shows uncorrected p-distances. The red letters indicate our sequence from Europe.
Data for Observational Evidence for Criegee Intermediate Oligomerization Reactions Relevant to Aerosol Formation in the Troposphere
Open the record for dataset details and reuse information.
A tunable family of CAAC-ruthenium olefin metathesis catalysts modularly derived from a large-scale produced ibuprofen intermediate
<p>Data confirming the structure of the new compounds obtained within the project, published in <br><i><strong>Chem. Sci.</strong></i>, 2023,<strong>14</strong>, 10744-10755</p><p>The research was supported by the National Science Centre, Poland (OPUS grant DEC-2017/27/B/ST5/02563).</p>
Deer Intermediate Phalanx
Agisoft stitched deer intermediate phalanx for student reference. Source: Objaverse 1.0 / Sketchfab
[VISIR-2 ship weather routing model] intermediate products
<h2>VISIR-2 ship weather routing model intermediate products</h2><p>This repository contains the intermediate data required to reproduce the results presented Geosci. Model Dev. Discussions manuscript titled "<i>VISIR-2: ship weather routing in Python</i>". The paper will be linked here as soon as available online. </p><p> </p><h3>How to Use the Data</h3><p>To reproduce the results from the manuscript, please follow these steps:</p><p>1. download this repository to your local machine.</p><p>2. download the Zenodo repository containing VISIR-2 source code from this <a href="https://zenodo.org/doi/10.5281/zenodo.8305526">link</a></p><p>3. run the Jupyter notebook contained in <i>VISIR-2/_e_Visualizzazioni/notebooks</i></p><p> </p><h3>Contact</h3><p>If you have any questions or need further assistance, please feel free to contact us:</p><p>- Mario Leonardo Salinas</p><p>- Email: mario.salinas@cmcc.it</p><p> </p>
EBAII n1 scRNAseq : Training intermediate Seurat (v5) objects
<p>Intermediate Seurat (v5) objects produced for the EBAII n1 single cell RNAseq training.</p> <ul> <li><code>01_TD3A_S5_Metrics.Tech_31053.4587.RDS</code> : Technical metrics (nFeature, nCount, ...)</li> <li><code>02_TD3A_S5_Metrics.All_31053.4587.RDS</code> : Biological metrics (%mito, %ribo, %stress)</li> <li><code>03_TD3A_S5_CC_31053.4587.RDS</code> : Estimated cell cycles scores and phase</li> <li><code>04_TD3A_S5_Metrics.Filtered_12508.4278.RDS</code> : Cells and features filtered according to metrics</li> <li><code>05_TD3A_S5_Doublets.filtered_12508.4035.RDS</code> : Cell doublets removed</li> <li><code>06_TD3A_S5_LogNorm_12508.4035.RDS</code> : LogNormalization applied</li> <li><code>07_TD3A_S5_Scaled.2k_12508.4035.RDS</code> : Scaling using 2000 HVGs</li> <li><code>08_TD3A_S5_Scaled.2k_Reg.PCrb_12508.4035.RDS</code> : Same with regression for <code>percent_rb</code> (% ribo)</li> <li><code>09_TD3A_S5_DimRed.PCA_12508.4035.RDS</code> : PCA with 50 components</li> <li><code>10_TD3A_S5_Clustered.0.8_12508.4035.RDS</code> : Louvain clustering with resolution 0.8</li> <li><code>11_TD3A.TDCT_S5_Merged_12926.3886</code> : Merging of the pre-processed TD3A and TDCT samples (each halved for its cells, using random subsampling with the seed 1337)</li> <li><code>12_TD3A.TDCT_S5_Integrated_12926.3886.RDS</code> : Results of TD3A and TDCT samples integration using 4 different methods (Seurat's CCA, RPCA, Harmony ; and standalone Harmony), and Louvain clustering for each (res 0.8)</li> <li><code>13_TD3A.TDCT_S5_Integrated_Annotated.RDS</code> : Results of the automatic cell type annotation</li> </ul>
Orth_etal_2024: Intermediate RData results
<p>These are the RData file related to code for the article Orth_etal_2024: Changing water availability and demand shift global greening to regional browning. <br><br></p>
Dissolved Mn(III) is a key redox intermediate in sediments of a seasonally euxinic coastal basin
<p>Dataset and computer model used in the article "Dissolved Mn(III) is a key redox intermediate in sediments of a seasonally euxinic coastal basin" in Biogeosciences.</p>
Data underlying research paper "Developing an open data intermediation business model: insights from the case of Esri"
<p><strong>Data underlying research paper “Developing an open data intermediation business model: insights from the case of Esri” </strong></p> <p>by Ashraf Shaharudin, Bastiaan van Loenen, and Marijn Janssen from Delft University of Technology (TU Delft), the Netherlands.</p> <p>This folder contains data underlying the research paper “Developing an open data intermediation business model: insights from the case of Esri”. It consists of:</p> <p>1. De-identified interview transcripts</p> <p>2. Informed consent form template</p> <p><strong>Note about the de-identified interview transcripts:</strong></p> <p>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of Esri as open data intermediaries.</p> <p>The 27 interviews, involving 29 interviewees, were conducted between April 2023 and April 2024 based on the semi-structured approach. We shared the tentative interview questions with the interviewees in advance (for the majority, at least three working days prior). Since they are semi-structured interviews, the ultimate interview questions may differ from the tentative questions.</p> <p>We removed personally identifiable information from the transcripts. Some interviewees may risk being identifiable if their organization is known. Hence, we removed the organization and country information from all transcripts. </p> <p>With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcripts as close to verbatim as possible. </p> <p><strong>Note about the informed consent form template:</strong></p> <p>We sent the informed consent form to every interviewee in advance and requested that they return it to us before or during the interview. </p> <p>All interviewees whose interview transcripts are recorded in this document give permission for the anonymized transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.</p> <p><strong>Acknowledgement:</strong></p> <p>This research is part of the 'Towards a Sustainable Open Data ECOsystem' (ODECO) project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</p>
Dataset for publication "Resolving the Orbital Character of Low-energy Excitations in Mott Insulator with Intermediate Spin-orbit Coupling"
<p>Dataset providing the sourcedata of the main figures in the publication "Resolving the Orbital Character of Low-energy Excitations in Mott Insulator with Intermediate Spin-orbit Coupling"</p>
Figure 3 in A new subfamily for a clade of opecoelids (Trematoda: Digenea) exploiting marine fishes as second-intermediate hosts, with the first report of opecoelid metacercariae from an elasmobranch
Figure 3. The pylogenetic pattern of second-intermediate host groups, including Amphipoda, Cephalopoda, Chondricthyes, Decapoda, Echinoidea, Gastropoda, Hirudinea, Insecta, Oligochaeta and Osteichthyes, exploited by the Opecoelidae, constructed through maximum likelihood analysis of partial 28S ribosomal DNA data, with two brachycladioids forming the outgroup. Taxa in collapsed clades and GenBank accession numbers for all taxa are listed in Table 3. New sequence data are in bold. Support values <50% are omitted. Scale bar indicates the number of substitutions per site.
MultiVI - Intermediate datasets, notebooks, and scripts
<p>All intermediate analyses, datasets, scripts, and notebooks to reproduce all results in the MultiVI manuscript.</p>
Data and Codes of the Research 《An Analytical Spectral Model for Infragravity Waves over Topography in Intermediate and Shallow Water》
<p>This is the dataset and codes prepared for the submission of the research in the title.</p> <p>Please run the script Main.m directly after unzipping the package. For a detailed guidance of how to use it, please see the Guide.html in the UserGuide folder.</p>
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility
<p>This upload contains 1) the used thematic maps in the study, 2) the samples to train and validate the proposed model, and 3) the samples used to predict landslide susceptibility of Fengjie County and Fuling District. The code related to the methods is available on the website: <a href="https://github.com/Young-Excavator/Meta_LSM">https://github.com/Young-Excavator/Meta_LSM</a>.</p>
Data set for the journal article "Surface Intermediates in In-Based ZrO2-Supported Catalysts for Hydrogenation of CO2 to Methanol"
<p>Raw data for the article " Surface Intermediates in In-Based ZrO<sub>2</sub>-Supported Catalysts for Hydrogenation of CO<sub>2</sub> to Methanol", already published in the Journal of Physical Chemistry C, DOI: <a href="https://doi.org/10.1021/acs.jpcc.1c08814">https://doi.org/10.1021/acs.jpcc.1c08814</a></p> <p>Folder names describe the type of data content. All details concerning conditions and equipment for measurements can be found in the main text and supporting information of the article.</p>
On following pages: 3. Small Long-fingered Bat (Miniopterus pusillus); 4. Intermediate Long-fingered Bat (Miniopterus medius); 5. Ryukyu Long-fingered Bat (Miniopterus fuscus); 6. Eschscholtz's Long-fingered Bat (Miniopterus eschscholtzil); 7. Philippine Long-fingered Bat (Miniopterus paululus); 8. Great Long-fingered Bat (Miniopterus tristis); 9. Shortridge's Long-fingered Bat (Miniopterus shortridgel); 10. Javanese Long-fingered Bat (Miniopterus blepotis); 11. Little Long-fingered Bat (Miniopterus australis); 12. Small Melanesian Long-fingered Bat (Miniopterus macrocneme); 13. Loyalty Long-fingered Bat (Miniopterus robustior); 14. Australian Long-fingered Bat (Miniopterus orianae); 15. Pallid Long-fingered Bat (Miniopterus pallidus); 16. Schreibers's Long-fingered Bat (Miniopterus schreibersii); 17. Maghrebian Long-fingered Bat (Miniopterus maghrebensis). in Miniopteridae
On following pages: 3. Small Long-fingered Bat (Miniopterus pusillus); 4. Intermediate Long-fingered Bat (Miniopterus medius); 5. Ryukyu Long-fingered Bat (Miniopterus fuscus); 6. Eschscholtz's Long-fingered Bat (Miniopterus eschscholtzil); 7. Philippine Long-fingered Bat (Miniopterus paululus); 8. Great Long-fingered Bat (Miniopterus tristis); 9. Shortridge's Long-fingered Bat (Miniopterus shortridgel); 10. Javanese Long-fingered Bat (Miniopterus blepotis); 11. Little Long-fingered Bat (Miniopterus australis); 12. Small Melanesian Long-fingered Bat (Miniopterus macrocneme); 13. Loyalty Long-fingered Bat (Miniopterus robustior); 14. Australian Long-fingered Bat (Miniopterus orianae); 15. Pallid Long-fingered Bat (Miniopterus pallidus); 16. Schreibers's Long-fingered Bat (Miniopterus schreibersii); 17. Maghrebian Long-fingered Bat (Miniopterus maghrebensis).
Intermediate results for: Large differences in carbohydrate degradation and transport potential among lichen fungal symbionts
<p><span>Lichen symbioses are thought to be stabilized by the transfer of fixed carbon from a photosynthesizing symbiont to a fungus. In other fungal symbioses, carbohydrate subsidies correlate with reductions in plant cell wall-degrading enzymes, but whether this is true of lichen fungal symbionts (LFSs) is unknown. We predicted genes encoding carbohydrate-active enzymes (CAZymes) and sugar transporters in 46 genomes from the </span><em><span>Lecanoromycetes</span></em><span>, the largest extant clade of LFSs. </span><span>All LFSs possess a robust CAZyme arsenal including enzymes acting on cellulose and hemicellulose, confirmed by experimental assays. However, the number of genes and predicted functions of CAZymes vary widely, with some fungal symbionts possessing arsenals on par with well-known saprotrophic fungi. These results suggest that stable fungal association with a phototroph does not in itself result in fungal CAZyme loss, and lends support to long-standing hypotheses that some lichens may </span><span>augment fixed CO</span><span>2</span><span> with carbon from external sources.</span></p>
Phylogenetic relatedness of food plants reveals highest insect herbivore specialization at intermediate temperatures along a broad climatic gradient
<p>Phytophagous insects differ in their degree of specialisation, biased by resource availability. The composition and richness of herbivore and plant assemblages change along climatic gradients, but knowledge about associated shifts in specialisation is scarce and lacks controlling for abundance and phylogeny of interaction partners. Thus, we aimed to test whether the specialisation of herbivores in insect- plant – interaction networks decreases towards cold habitats as predicted by the 'altitude niche-breadth hypothesis' to forecast possible consequences of interaction rewiring under climate change.</p> <p>We used a non-invasive, standardized metabarcoding approach to reconstruct dietary relationships of Orthoptera species as a major insect herbivore taxon along a broad temperature gradient (~12 °C) in southern Germany. Based on orthopteran surveys, direct feeding observations in field, collection of faecal pellets from > 3,000 individuals of 54 species, and parallel vegetation surveys on 41 grassland sites, we quantified plant resource availability and its use by herbivores. Faecal samples were pooled for each species per site.</p>
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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.