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3,101 results for “tables”
Species diagnosis tables for: Crinoids from the Wooster Shale Member of the Cuyahoga Formation, Carboniferous (Mississippian, Tournaisian) of Northeastern Ohio
<p>Nine crinoids are described from the Wooster Shale Member of the Cuyahoga Formation from Wayne and Ashland counties, Ohio, USA. Identifiable elements of the fauna include five camerate crinoids, one flexible crinoid, and three other eucladid crinoids. Five new species are described, including <em>Cactocrinus</em> <em>woosterensis</em> n. sp., <em>Cusacrinus</em> <em>brushi</em> n. sp., <em>Agaricocrinus</em> <em>murphyi</em> n. sp., <em>Decadocrinus</em> <em>laevis</em> n. sp., and <em>Decadocrinus</em> <em>inordinatus</em> n. sp. Overall, the distribution of crinoid clades in the Wooster Shale is similar to that of the stratigraphically lower Meadville Shale Member of the Cuyahoga Formation, although less diverse and with only one species (<em>Cyathocrinites</em> <em>simplex</em>) in common. Many of the Wooster Shale crinoids are completely or partially preserved with siderite in either nodules or within siderite beds. These crinoids are commonly preserved in trauma postures, which is characteristic of burial in episodic high turbulence events. The paleoenvironments and taxa of the two Cuyahoga Formation crinoid faunas more closely resemble Viséan faunas in siliciclastic settings than typical carbonate faunas of the Tournaisian. Supplemental tables included here are species diagnostic tables listing characters for differentiating species in the following Mississippian crinoid (Phylum Echinodermata) genera: <em>Agaricocrinus</em>, <em>Cactocrinus</em>, <em>Cusacrinus</em>, and <em>Decadocrinus</em>. </p>
Supplementary tables for "Impurity resistivity of the Earth's inner core"
<p>Supplementary tables for "Impurity resistivity of the Earth's inner core" contain the results of first-principles calculations on the electrical resistivity of 4- and 6-component hcp Fe alloys at the Earth's inner core pressure.</p>
CSV data tables
<p>Tables 1 to 6 for publication with the research paper about diffuse PAR modeling</p>
Table S1: Projective cover of dwarf shrub, grass, moss and lichens layers at the studied bog massif (%)
<p>Projective cover of dwarf shrub, grass, moss layers and lichens at the ombrotrophic Ilasskoe bog, Arkhangelsk regoin russia</p>
Table S2 supplemental material to COMMSENV-22-1356B manuscript
<p>Table S2 supplemental material to COMMSENV-22-1356B manuscript</p>
Table S1. Baseline patient characteristics by phytoestrogen tertiles.
<p>Abbreviations: AMH, anti-müllerian hormone; E2, estradiol; FSH, follicle-stimulating hormone; hCG, human chorionic gonadotropin; LH, luteinizing hormone.</p>
Supplementary Table 3
<p>Study title: </p> <p><strong><em>SLC6A1</em> variant pathogenicity, molecular function, and phenotype: a genetic and clinical analysis<em>SLC6A1</em></strong><strong> variant pathogenicity, molecular function, and phenotype: a genetic and clinical analysis</strong></p> <p>Content:</p> <p>Supplementary Table 3</p> <p>- Patient variants</p> <p>- GnomAD variants</p> <p>- Legend</p>
CFdb: feature tables
<p>This upload contains features that were used to derive interactomes based on meta-analysis of co-fractionation mass spectrometry (CF-MS) data. Features reflect the similarity of any two proteins' elution profiles in a given CF-MS experiment. They were provided as input to machine-learning models trained in cross-validation on known protein complexes. Feature tables are provided here (1) to enable re-analysis of this data and (2) to enhance the analysis of future individual datasets by transfer learning.</p> <p>Each .tar file contains feature tables for a given organism. In these tables, each row represents a unique protein pair and each column represents the value of that feature in a given CF-MS experiment. The top-five best-performing features identified in our previous meta-analysis (doi: 10.1038/s41592-021-01194-4) are pre-calculated for each organism, including the distance correlation, weighted cross-correlation, cosine similarity, mutual information, and Pearson correlation. Each feature was calculated using the optimal chromatogram preprocessing strategies identified in our previous meta-analysis.</p> <p>Feature tables are provided for the following organisms:</p> <ul> <li>Anabaena sp. PCC 7120</li> <li>Arabidopsis thaliana</li> <li>Brassica oleracea</li> <li>Caenorhabditis elegans</li> <li>Chaetomium thermophilum</li> <li>Chlamydomonas reinhardtii</li> <li>Cyanothece ATCC 51142</li> <li>Dictyostelium discoideum</li> <li>Drosophila melanogaster</li> <li>Escherichia coli</li> <li>Glycine max</li> <li>Gossypium hirsutum</li> <li>Homo sapiens</li> <li>Kuenenia stuttgartiensis</li> <li>Mus musculus</li> <li>Nematostella vectensis</li> <li>Oryza sativa</li> <li>Plasmodium berghei</li> <li>Plasmodium falciparum</li> <li>Plasmodium knowlesi</li> <li>Podospora anserina</li> <li>Rattus norvegicus</li> <li>Saccharomyces cerevisiae</li> <li>Salmonella typhimurium SL1344</li> <li>Selaginella moellendorffii</li> <li>Solanum lycopersicum</li> <li>Strongylocentrotus purpuratus</li> <li>Synechocystis sp. PCC 6803</li> <li>Triticum aestivum</li> <li>Trypanosoma brucei</li> <li>Xenopus laevis</li> <li>Zea mays</li> </ul>
CCSSL_PhD_Thesis_Chapter_4_Supplementary_Tables
<p>Supplementary Tables for Chapter 4 "Diversity and distribution of biosynthetic gene clusters related to ether lipid production in high microbial abundance sponges" of the PhD Thesis entitled <strong>Exploring the biosynthetic landscape of marine sponge microbiomes</strong></p>
Tocchini and Mango_An adapted MS2-MCP system to visualize endogenous cytoplasmic mRNA with live imaging in Caenorhabditis elegans_Table S1_Raw data
<p><strong>Table S1. Raw data.</strong> List of quantitation of GFP intensities of heads (<em>spc-1</em>) or pharynges (<em>dlg-1</em>) in the different figures.</p>
A subset of the Scientific Literature Comparison Tables Dataset
<p>The Scientific Literature Comparison Table (SLCT) dataset was collected using the arXiv and Semantic Scholar APIs. It underwent a series of processing steps, including manual inspection and editing.</p> <p>The processing steps are summarized as follows:</p> <p>1) Downloading Survey Papers’ LaTeX files using the Arxiv API.</p> <p>2) Preprocessing LaTeX files to HTML format.</p> <p>3) Extracting tables from the HTML files.</p> <p>4) Creating a Golden Table as a reference.</p> <p>5) Generating descriptions for column headers.</p> <p>6) Acquiring citation data.</p> <p>7) Finalizing the dataset.</p>
Semantic Table Search Dataset
<p>Semantic Table Search Dataset Resource: A Large Scale Test Corpus for Semantic Table Search<br> Check out the <a href="">README</a> for more information.</p>
Supplementary table S1 - raw data - Schifani et al. J. Appl. Entomol.
<p>Raw data to "Schifani, E., Giannetti, D., Costi, E., Franconi, G., Campostrini, A., Maistrello, L., Grasso, D.A. Interactions between egg parasitoids and predatory ants for the biocontrol of the invasive brown marmorated stink bug Halyomorpha halys"; experiments described in the paper.</p>
Table 5 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Random sample extraction of 145 earthquakes.</strong></p><p>In this short video we illustrate an example of the method used for the random sample extraction of 145 earthquakes for the Study: <i>"Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth" </i>for Section 2.10.1.</p><p> </p>
Data set for Chemical bond analysis for the entire periodic table: Energy Decomposition and Natural Orbitals for Chemical Valence in the Four-Component Relativistic Framework
<p>Data related with the publication :Chemical bond analysis for the entire periodic table:<br> Energy Decomposition and Natural Orbitals for Chemical Valence in the Four-Component Relativistic Framework by Diego Sorbelli, Paola Belanzoni, Loriano Storchi, Olivia Bizzarri, Beatrice Bizzarri, Edoardo Mosconi and Leonardo Belpassi</p> <p>Input and data for:</p> <p>Tab.1 --> data in dir "w_dimer_AVDZ" and in dir "ADF/w_dimer".</p> <p>Tab.2 --> data in dir "Agalkyne" and in dir "ADF/Agalkyne"</p> <p>Tab.3 --> data in dir "TMC05ethene"<br> </p>
(old version) Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p>Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."</p> <p><strong>There is a statistical correlation between the position of the planets, Moon and Sun and the Magnitude of the earthquakes.</strong></p>
Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p>Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph 3.01.06.</p> <p><strong>Summary Excel tables of the 200 earthquakes, results of the first hypothesis.</strong></p>
Table 9 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy." Calandra Stefano
<p><strong>Distribution and probability of σFR indices of the 2nd hypotesis for all 200 earthquakes.</strong></p> <p>Distribution and probability of σFR indices of the 2nd hypotesis, and the time affected in 1 month by the same σFR index present at the time of seismic triggering, for all 3 lines of experimental analysis, for all 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.03.</strong></p> <p>Table 9 shows that the values and σFR indices calculated for the 200 earthquakes are concentrated in very small values. With this result, it is shown that by using these highly concentrated σFR values and indices, <em>75% of the time of the reference month of 65% earthquakes >M4.3 can be excluded as seismic hazard. </em></p>
Table 10 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Details of the 200 analyzed earthquakes encompassing values and indices for σFR Parameters A, B, and the percentile of Alert Time across the three Analysis Lines, for Section 3.2.6.</strong></p><p>It contains the 6 Excel calculation files: 2 excel sheets for each of the 3 lines of analysis.</p><p>In case of display problems or missing data: </p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20All%20Planets%20FR%20Graphs.xlsx">Eqs 1-112 - All Planets FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1hxAsh6BZZH70z7C2iBVI4LqNsbl7gCcGmRJIX9CVLUA/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1hxAsh6BZZH70z7C2iBVI4LqNsbl7gCcGmRJIX9CVLUA/edit?usp=sharing</a></p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20All%20Planets%20FR%20Graphs.xlsx">Eqs 113-200 - All Planets FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1bGcgwL5R_GPO3aQO3tdscGFjPrFdIJ-s16yQE9_eMXY/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1bGcgwL5R_GPO3aQO3tdscGFjPrFdIJ-s16yQE9_eMXY/edit?usp=sharing</a> </p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 1-112 - Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1CLGRDgp-eyGMUZjvNjIfuxI-7fzUsY0NYs0qyAs1XRE/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1CLGRDgp-eyGMUZjvNjIfuxI-7fzUsY0NYs0qyAs1XRE/edit?usp=sharing</a></p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 113-200 - Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/15CYvjS-4-FxKFLcYy4jIKKiFuiWYxSM89zzOliodyFg/edit?usp=sharing">https://docs.google.com/spreadsheets/d/15CYvjS-4-FxKFLcYy4jIKKiFuiWYxSM89zzOliodyFg/edit?usp=sharing</a></p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%201-112%20-%20without%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 1-112 - without Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/1zzwugZ4ZZzy6vnQP_SBrjjYaL5fjul29CBZS2Qheq_E/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1zzwugZ4ZZzy6vnQP_SBrjjYaL5fjul29CBZS2Qheq_E/edit?usp=sharing</a> </p><p>the file <a href="https://zenodo.org/api/files/0b63ead2-6802-4089-849b-949758da13fd/Eqs%20113-200%20-%20without%20Moon%20and%20Sun%20FR%20Graphs.xlsx">Eqs 113-200 - without Moon and Sun FR Graphs.xlsx</a> is available also on the Drive: <a href="https://docs.google.com/spreadsheets/d/12phjR1r1pQXqzdclBCbV76nXpne4B9VqksDj4RqgEKw/edit?usp=sharing">https://docs.google.com/spreadsheets/d/12phjR1r1pQXqzdclBCbV76nXpne4B9VqksDj4RqgEKw/edit?usp=sharing</a></p>
Table 4 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Table 5, APPENDIX </strong>for the Study: "<i>Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth</i>," for Section 2.10.</p><p>Contains the list of M>4.3 earthquakes that occurred in Italy from 1600 to 2022 AD and the list of earthquakes analyzed.</p>
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.