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372 results for “MAG”
Comparison of MAG and Fish Oil Efficacy
ClinicalTrials.gov study NCT01797757. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Modulation of the Brain Fog Scale by Eicosapentaenoic Acid Monoglycerides (MAG-EPA).
ClinicalTrials.gov study NCT06695910. IPD Sharing: NO. Countries: 1. Publications: 0.
Lenalidomide in Anti-MAG Neuropathy: Phase 1b Study
ClinicalTrials.gov study NCT03701711. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety and Immunogenicity Study of HIV-MAG Vaccine +/- IL-12 and Ad35-GRIN/ENV in HIV-uninfected Volunteers
ClinicalTrials.gov study NCT01496989. IPD Sharing: Not stated. Countries: 3. Publications: 2.
Outcomes of a Higher vs. Lower Hemodialysate Magnesium Concentration (Dial-Mag Canada)
ClinicalTrials.gov study NCT04079582. IPD Sharing: NO. Countries: 1. Publications: 1.
Time-series drinking water metagenomes: Assemblies & MAGs
Open the record for dataset details and reuse information.
Caballete2015_Mag_RawData
<p>Caballete is a Late Archaic (3000 - 1800 BC) site located in a valley off the north bank of the Fortaleza River, approximately 8km from the Pacific coast. It consists of multiple lesser mounds and a single larger mound. One of the mounds sits as an outlier to the southeast while the other five form a U-shaped pattern on the terrace. The outlier is believed to be the earliest attempt at mound construction on the site. Three of the other mounds are associated with sunken circular plazas, one of which is outlined by <em>huancas</em>, or large standing stones.</p> <p>The aim of this project was to identify buried architecture for subsequent, targeted excavation at a Late Archaic ceremonial site in Peru. Two of the mounds (B and C) were surveyed using GPR, photogrammetry and magnetometry (Mound B only), with surveys occurring on the top and flank of Mound B. A low mound referred to as "Center Area" and the sunken circular plaza associated with the <em>huancas </em>and Mound A (the principal mound of Caballete) were surveyed with GPR, magnetometry and photogrammetry as well. Finally, a campsite area (20 x 40m) located to the northwest of the site's U-shaped configuration of features was surveyed using magnetometry. The site contains characteristics of typical campsite areas and, due to the ephemeral nature of campsites and general lack of permanent structures, was not surveyed with GPR or photogrammetry.</p> <p>This upload contains the raw data for magnetometry survey done during the field season at Caballete in 2015.</p>
Caballete2015_Mag_ProcessedOutputs
<p>Caballete is a Late Archaic (3000 - 1800 BC) site located in a valley off the north bank of the Fortaleza River, approximately 8km from the Pacific coast. It consists of multiple lesser mounds and a single larger mound. One of the mounds sits as an outlier to the southeast while the other five form a U-shaped pattern on the terrace. The outlier is believed to be the earliest attempt at mound construction on the site. Three of the other mounds are associated with sunken circular plazas, one of which is outlined by <em>huancas</em>, or large standing stones.</p> <p>The aim of this project was to identify buried architecture for subsequent, targeted excavation at a Late Archaic ceremonial site in Peru. Two of the mounds (B and C) were surveyed using GPR, photogrammetry and magnetometry (Mound B only), with surveys occurring on the top and flank of Mound B. A low mound referred to as "Center Area" and the sunken circular plaza associated with the <em>huancas </em>and Mound A (the principal mound of Caballete) were surveyed with GPR, magnetometry and photogrammetry as well. Finally, a campsite area (20 x 40m) located to the northwest of the site's U-shaped configuration of features was surveyed using magnetometry. The site contains characteristics of typical campsite areas and, due to the ephemeral nature of campsites and general lack of permanent structures, was not surveyed with GPR or photogrammetry.</p> <p>This upload contains the processed outputs for magnetometry survey done during the field season at Caballete in 2015.</p>
MAGs associated with Rare transmission of commensal and pathogenic bacteria in the gut microbiome of hospitalized adults
<p>Assembled genomes from microbiome samples from HCT patients.</p>
coauth-MAG-History
<h3><strong>Overview</strong></h3> <p>This is a temporal higher-order network dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are authors, and a hyperedge is a publication marked with the "History" tag in the Microsoft Academic Graph. Timestamps are the year of publication. We restricted to hyperedges containing at most 25 nodes.</p> <h4><strong>Statistics</strong></h4> <p>Some basic statistics of this dataset are:</p> <ul> <li>number of nodes: 1,014,734</li> <li>number of timestamped hyperedges: 1,812,511</li> <li>number of unique simplices: 895,668</li> </ul> <p><strong><span>Changelog</span></strong></p> <ul> <li> <p><span>v1.2: fixed year format with PR #31 </span><span><a href="https://github.com/xgi-org/xgi-data/pull/31">https://github.com/xgi-org/xgi-data/pull/31</a></span></p> </li> </ul> <h4><strong>Source of original data</strong></h4> <p>Source: <a href="https://www.cs.cornell.edu/~arb/data/coauth-MAG-History/">coauth-MAG-History dataset</a></p> <h4><strong>References</strong></h4> <p>If you use this data, please cite the following papers:</p> <ul> <li><a href="https://doi.org/10.1073/pnas.1800683115">Simplicial closure and higher-order link prediction</a>. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.</li> <li><a href="https://doi.org/10.1145/2740908.2742839">An overview of Microsoft Academic Service (MAS) and applications</a>. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. Proceedings of WWW, 2015.</li> </ul>
Figure 4 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 4 Thallus habitus: ARostaniacoccophylla (isotype of Collemacoccophyllum Nyl., India, 1858, Perrotet s.n., H-NYL 42355, H–9201376) BRostaniaparamensis (Palice 2796, PRA-00013999; holotype of Collemaparamense PM Jørg. & Palice) CScytinium sp. Palice 2274a DRostaniaparamensis Palice 2274b. tL = thalline lobes, is = isidia. Scale bar: 1 cm.
Figure 6 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 6 Thalli, transversal cross-sections: A Thallus with pseudocortex and densely interwoven hyphae (Rostaniaquadrifida, McCune 2744, UPS) B Thallus with pseudocortex and straight and unbranched hyphae which are perpendicular to the surface (Rostaniaparamensis, Palice 2796, holotype of Collemaparamense) C Thallus with eucortex and straight and unbranched hyphae which are perpendicular to the surface (Leptogiumazureum, Tehler 3140, S) D Thallus with eucortex and paraplectenchymateous throughout (Scytinium sp. Palice 2273) E Thallus paraplectenchymateous throughout (Rostaniaoccultatavar.populina, Llop 56060303, S) A–E in lactic blue C in water. euC = eucortex, PsC = pseudocortex, Hp = hyphae, pPlect = paraplechtenchyma. Scale bar = 10 µm
Figure 2 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 2 Thallus habitus: ARostaniaoccultatavar.populina (Odelvik 1269, S), thallus lobes (arrow) BRostaniamultipunctata (Poelt 8852, GZU), accessory lobules (arrow) CRostaniaceranisca (MW_HOCH020, S), accessory finger-like lobules (arrow) DRostanialaevispora (isotype of Collemalaevisporum Swinscow & Krog, Tanzania, 1986, Swinscow & Krog T 3/6, O-00298), apothecium in initial stage (arrow) ERostaniacallibotrys (Moberg 4431a, UPS), apothecium in initial stage (arrow). tL = thallus lobes, al = accessory lobules, Ai = apothecium in initial stage covering the top of the accessory lobules. Scale bar: 1 cm.
Figure 5 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 5 Ascospores: ARostaniaquadrifida (McCune 2744, UPS), cubic spores with 2–5 cells BRostaniaparamensis (Palice 2796, holotype of Collemaparamense), ellipsoid spores with acute ends CLeptogiumazureum (Tehler 3140, S), ellipsoid spores with acute ends DScytinium sp. (Palice 2273), oblong spores, EScytinium sp. (Palice 2274), oblong spores. Scale bar = 10 µm
Figure 1 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 1 The most likely tree from the combined RAxML analysis based on 1947 aligned characters of mtSSU rDNA, MCM7 and b-tub from 57 specimens. Support values (Likelihood BS/Bayesian PP/parsimony JK) given when BS ≥ 70%, PP ≥ 0.90 and parsimony JK ≥ 70%. Branches receiving BS ≥ 75 %, PP ≥ 0.95 and JK ≥ 75% are indicated with a black dot. The different colour indicate different genera: blue = Leptogium, pink = Rostania, orange = Scytinium.
Figure 3 from: Košuthová A, Westberg M, Otálora MAG, Wedin M (2019) Rostania revised: testing generic delimitations in Collemataceae (Peltigerales, Lecanoromycetes). MycoKeys 47: 17-33. https://doi.org/10.3897/mycokeys.47.32227
Figure 3 Ascospores: ARostaniaoccultatavar.populina (Llop 56060303, S), cubic spores BRostaniaceranisca (Westberg L271_PL433, UPS), oblong spores; ascus (red line) with only four mature spores visible but remnants of four aborted spores can be seen (arrows) CRostaniacallibotrys (Sipman 2049, GZU), oblong spores. Scale bar: 10 µm.
Metadata for bacterial MAGs from giant kelp gametophytes
Open the record for dataset details and reuse information.
Linked collectors and determiners for: Salix pseudopentandra in the Herbarium (MAG) of the Institute of Biological Problems of the North, Far East Branch RAS.
Natural history specimen data linked to collectors and determiners held within, "Salix pseudopentandra in the Herbarium (MAG) of the Institute of Biological Problems of the North, Far East Branch RAS". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e2627a73-eaf8-41b9-9b0b-32e3127c8b24">https://bionomia.net/dataset/e2627a73-eaf8-41b9-9b0b-32e3127c8b24</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e2627a73-eaf8-41b9-9b0b-32e3127c8b24">https://gbif.org/dataset/e2627a73-eaf8-41b9-9b0b-32e3127c8b24</a>. Formatted as a Frictionless Data package.
MAG for Heterogeneous Graph Learning
<p>We provide an academic graph based on a snapshot of the <strong>Microsoft Academic Graph</strong> from <strong>26.05.2021.</strong> The Microsoft Academic Graph (MAG) is a large-scale dataset containing information about scientific publication records, their citation relations, as well as authors, affiliations, journals, conferences and fields of study. We acknowledge the Microsoft Academic Graph using the URI <a href="https://aka.ms/msracad">https://aka.ms/msracad</a>. For more information regarding schema and the entities present in the original dataset please refer to: <a href="https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema">MAG schema</a>. </p> <p><strong>MAG for Heterogeneous Graph Learning</strong><br> We use a recent version of MAG from May 2021 and extract all relevant entities to build a graph that can be directly used for heterogeneous graph learning (node classification, link prediction, etc.). The graph contains all English papers, published after 1900, that have been cited at least 5 times per year since the time of publishing. For fairness, we set a constant citation bound of 100 for papers published before 2000. We further include two smaller subgraphs, one containing <em>computer science</em> papers and one containing <em>medicine</em> papers. </p> <p><em><strong>Nodes and features</strong></em><br> We define the following nodes:</p> <ul> <li><strong>paper </strong>with mag_<em>id, graph_id, </em><em>normalized title</em>, <em>year of publication</em>, <em>citations </em>and a 128-dimension <em>title embedding </em>built using word2vec<br> No. of papers:<em> 5,091,690</em> (all), <em>1,014,769 </em>(medicine), <em>367,576 </em>(computer science);</li> <li><strong>author </strong>with mag_<em>id, graph_id, normalized name, citations</em><br> No. of authors: <em>6,363,201 </em>(all), <em>1,797,980 </em>(medicine), <em>557,078 </em>(computer science);</li> <li><strong>field </strong>with mag_<em>id, graph_id, level, citations </em>denoting the hierarchical level of the field where 0 is the highest-level (e.g. <em>computer science</em>)<br> No. of fields: <em>199,457 </em>(all), <em>83,970 </em>(medicine), <em>45,454 </em>(computer science);</li> <li><strong>affiliation </strong>with mag_<em>id, graph_id, citations</em><br> No. of affiliations: <em>19,421 </em>(all), <em>12,103 </em>(medicine), <em>10,139 </em>(computer science); </li> <li><strong>venue </strong>with mag_<em>id, graph_id, citations, type</em> denoting whether conference or journal<br> No. of venues: <em>24,608 </em>(all), <em>8,514 </em>(medicine), <em>9,893 </em>(computer science). </li> </ul> <p><em><strong>Edges</strong></em><br> We define the following edges:</p> <ul> <li><strong>author </strong><em>is_affiliated_with</em><strong> affiliation</strong><br> No. of author-affiliation edges: <em>8,292,253 </em>(all), <em>2,265,728 </em>(medicine), <em>665,931 </em>(computer science);</li> <li><strong>author </strong><em>is_first/last/other </em><strong>paper</strong><br> No. of author-paper edges: <em>24,907,473 </em>(all), <em>5,081,752 </em>(medicine), <em>1,269,485 </em>(computer science);</li> <li><strong>paper </strong><em>has_citation_to</em><strong> paper</strong><br> No. of author-affiliation edges: <em>142,684,074 </em>(all), <em>16,808,837 </em>(medicine), <em>4,152,804 </em>(computer science);</li> <li><strong>paper </strong><em>conference/journal_published_at</em><strong> venue</strong><br> No. of author-affiliation edges: <em>5,091,690 </em>(all), <em>1,014,769 </em>(medicine), <em>367,576 </em>(computer science);</li> <li><strong>paper </strong><em>has_field_L0/L1/L2/L3/L4</em><strong> field</strong><br> No. of author-affiliation edges: <em>47,531,366 </em>(all), <em>9,403,708 </em>(medicine), <em>3,341,395 </em>(computer science);</li> <li><strong>field</strong><em> is_in </em><strong>field</strong><br> No. of author-affiliation edges: <em>339,036 </em>(all), <em>138,304 </em>(medicine), <em>83,245 </em>(computer science);</li> </ul> <p>We further include a reverse edge for each edge type defined above that is denoted with the prefix <em>rev_ </em>and can be removed based on the downstream task. </p> <p><strong>Data structure</strong><br> The nodes and their respective features are provided as separate <em>.tsv</em> files where each feature represents a column. The edges are provided as a pickled python dictionary with schema:</p> <pre><code class="language-python">{target_type: {source_type: {edge_type: {target_id: {source_id: {time } } } } } }</code></pre> <p>We provide three compressed ZIP archives, one for each subgraph (all, medicine, computer science), however we split the file for the complete graph into 500mb chunks. Each archive contains the separate node features and edge dictionary.</p>
Novel anammox family represented by three Oslofjord Tunnel MAGs
<p>DRAM annotation excel spreadsheet also containing refined blastp results, as well as DRAM-annotated gene nucleotide (fna) and amino acid (faa) sequences from three metagenome-assembled genomes (MAGs) representing a novel family of anammox.</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)
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DANDI Archive for NWB datasets
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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.