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DIAMOND_Methyl_Haplo_table
<p>methylationLevels.csv</p> <p>Metadata by Klaus Von GRAFENSTEIN, Engineer</p> <p>24/06/2024</p> <p>Data from Michel, et al. « Non-Invasive Multi-Cancer Diagnosis Using DNA Hypomethylation of LINE-1 Retrotransposons ». Preprint. Oncology, 23 janvier 2024. <a href="https://doi.org/10.1101/2024.01.20.23288905" target="_blank" rel="noopener">doi:10.1101/2024.01.20.23288905</a></p> <p>Generated with code : <a href="https://github.com/ProudhonLab/DIAMOND">https://github.com/ProudhonLab/DIAMOND</a></p> <p><br><strong>Columns:</strong></p> <ul> <li> Sample_ID = Sample identifier composed of : the sequencing dataset code, followed by "S" and the sample number inside the sequencing batch*</li> <li> Cohorte = Cohort of the sample (Discovery or Validation)</li> <li> Disease_status = Biological class of the sample</li> <li> Metastasis_status = Factor of if the sample is from a metastatic patient or not (M+ or M0). NA when the sample is healthy plasma or Metastasis_status is unknown</li> <li> Stage = Cancer stage of the sample ( 1 to 4 ). NA when the sample is healthy plasma or Stage is unknown</li> <li> Age.range = Age between a 5-year range of the patient or donor</li> <li> Sex = Sex of the patient or donor (F or M). NA when the sex is unknown</li> <li> Haplotype proportions = columns with the name of the amplicon (1,2,4,5,6 or 7) and haplotype code (0 unmethylated, 1 methylated, for each CpG site of the amplicon). Value between 0 and 1</li> <li> Methylation rate = columns with the name of the amplicon (1,2,4,5,6 or 7) and CpG site number. Value between 0 and 1</li> </ul>
Processed data and summary tables for 'Context TFs establish cooperative environments and mediate enhancer communication'
<p>The linked datasets contain processed data files and summary tables for 'Context transcription factors establish cooperative environments and mediate enhancer communication'. Raw sequenceing data for STARR-seq expeeriments can be found at GEO (Accession ID: GSE229646). For a detailed description of files please refer to the README.</p>
Fig. 1 in The life table parameters of Megalurothrips usitatus (Thysanoptera: Thripidae) on four leguminous crops
Fig. 1. Mean (± SE) survival rate of Megalurothrips usitatus on 4 leguminous crops. Means values with same letter are not significantly different by Tukey's multiple range test (P <0.05).
Рис. 1. Географическое поΛожение Норского заповеΑника (А) и картосхема распоΛожения на его территории (Б) учетных пΛощаΑок с фитоценозами (L_1–L_7) на Αвух мониторинговых станциях (I–II). I — МаΛьцевская: L_1 — березняк с участием осины и Λиственницы рябинниковый вейниково-разнотравный; L_2 — осиново-беΛоберезовый рябинниковый вейниково-разнотравный Λес; L_3 — Λиственничник с участием березы пΛоскоΛистной осоково-вейниковый с разнотравьем; L_4 — беΛоберезово-Λиственничный с примесью осины роΑоΑенΑроновый бруснично-осоковый Λес; L_5 — закустаренный, преимущественно тавоΛгой ивоΛистной, разнотравно-вейниковый Λуг. II — Антоновская: L_6 — Λиственничник роΑоΑенΑроново-брусничный; L_7 — Λиственнично-беΛоберезовый с примесью пихты и еΛи закустаренный разнотравно-вейниковый Λес (коΑ типа местообитания соответствуют таковому в табΛ. 1 и 3 и на рис. 2) Fig. 1. Geographical location of the Norsky Nature Reserve (A) and the map (B) of registration sites with phytocenoses (L_1–L_7) at two monitoring stations (I–II). I — Maltsevskaya: L_1 — birch forest with aspen and larch, fieldfare reed-forb; L_2 — aspen-white-birch, fieldfare reed-forb forest; L_3 — larch forest with flat-leaved sedge-reed birch with forbs; L_4 — white-birch-larch with an admixture of aspen rhododendron lingonberry-sedge forest; L_5 — bushy, mostly meadowsweet, forb-reed grass meadow. II — Antonovskaya: L_6 — rhododendron-cowberry larch forest; L_7 — larch-white-birch with fir and spruce, shrubby forb-reed grass forest (the code of the habitat type corresponds to that in Tables 1 and 3 and in Fig. 2) in Structure and dynamics of the taxocenes of shrews in different habitats of the Norsky nature reserve
Рис. 1. Географическое поΛожение Норского заповеΑника (А) и картосхема распоΛожения на его территории (Б) учетных пΛощаΑок с фитоценозами (L_1–L_7) на Αвух мониторинговых станциях (I–II). I — МаΛьцевская: L_1 — березняк с участием осины и Λиственницы рябинниковый вейниково-разнотравный; L_2 — осиново-беΛоберезовый рябинниковый вейниково-разнотравный Λес; L_3 — Λиственничник с участием березы пΛоскоΛистной осоково-вейниковый с разнотравьем; L_4 — беΛоберезово-Λиственничный с примесью осины роΑоΑенΑроновый бруснично-осоковый Λес; L_5 — закустаренный, преимущественно тавоΛгой ивоΛистной, разнотравно-вейниковый Λуг. II — Антоновская: L_6 — Λиственничник роΑоΑенΑроново-брусничный; L_7 — Λиственнично-беΛоберезовый с примесью пихты и еΛи закустаренный разнотравно-вейниковый Λес (коΑ типа местообитания соответствуют таковому в табΛ. 1 и 3 и на рис. 2) Fig. 1. Geographical location of the Norsky Nature Reserve (A) and the map (B) of registration sites with phytocenoses (L_1–L_7) at two monitoring stations (I–II). I — Maltsevskaya: L_1 — birch forest with aspen and larch, fieldfare reed-forb; L_2 — aspen-white-birch, fieldfare reed-forb forest; L_3 — larch forest with flat-leaved sedge-reed birch with forbs; L_4 — white-birch-larch with an admixture of aspen rhododendron lingonberry-sedge forest; L_5 — bushy, mostly meadowsweet, forb-reed grass meadow. II — Antonovskaya: L_6 — rhododendron-cowberry larch forest; L_7 — larch-white-birch with fir and spruce, shrubby forb-reed grass forest (the code of the habitat type corresponds to that in Tables 1 and 3 and in Fig. 2)
Рис. 2.Соотношение виΑов рыб на ΛитораΛи Тауйской губы: А — по их зоогеографической принаΑΛежности; Б — по принаΑΛежности к ихтиоцену. Обозначения см. в табΛице 1 Fig. 2. Ratio of fish species in the littoral zone of Tauysk Bay: А — according to their zoogeographic affiliation; Б — by belonging to the ichthyocene. Designations are similar to those in Table 1. in Species diversity and dominant species of the littoral area fishes of Tauysk bay, the Sea of Okhotsk
Рис. 2.Соотношение виΑов рыб на ΛитораΛи Тауйской губы: А — по их зоогеографической принаΑΛежности; Б — по принаΑΛежности к ихтиоцену. Обозначения см. в табΛице 1 Fig. 2. Ratio of fish species in the littoral zone of Tauysk Bay: А — according to their zoogeographic affiliation; Б — by belonging to the ichthyocene. Designations are similar to those in Table 1.
Рис. 3. Снижение чисΛенности гусениц при возΑействии разΛичных географических штаммов ВЯП. СтоΛбцы: коΛичество погибших во время эксперимента гусениц поΑ опреΑеΛенной инфекционной нагрузкой. ПоказатеΛи (в процентах) привеΑены в Λевой части табΛицы. СтреΛки: минимаΛьное и максимаΛьное коΛичество погибших во время очереΑного учета гусениц и крестообразные маркеры: среΑнее коΛичество погибших во время очереΑного учета гусениц. ПоказатеΛи (в абсоΛютных значениях) в правой части табΛицы. По горизонтаΛи: номер титра, от боΛьшего к меньшему Fig. 3. Decrease in the number of caterpillars under the influence of various geographical strains of NPV. Columns: number of caterpillars killed during the experiment under a certain infectious load. Indicators (in percent) are shown on the left side of the table. Arrows: the minimum and maximum number of deaths during the next track count and cross markers: the average number of deaths during the next track count. Indicators (in absolute values) on the right side of the table. Horizontal: titre, from highest to lowest in Sensitivity of caterpillars of the gypsy moth (Lymantria dispar, Erebidae) from the South of Khabarovsk Territory to various strains of nuclear polyhedrosis virus
Рис. 3. Снижение чисΛенности гусениц при возΑействии разΛичных географических штаммов ВЯП. СтоΛбцы: коΛичество погибших во время эксперимента гусениц поΑ опреΑеΛенной инфекционной нагрузкой. ПоказатеΛи (в процентах) привеΑены в Λевой части табΛицы. СтреΛки: минимаΛьное и максимаΛьное коΛичество погибших во время очереΑного учета гусениц и крестообразные маркеры: среΑнее коΛичество погибших во время очереΑного учета гусениц. ПоказатеΛи (в абсоΛютных значениях) в правой части табΛицы. По горизонтаΛи: номер титра, от боΛьшего к меньшему Fig. 3. Decrease in the number of caterpillars under the influence of various geographical strains of NPV. Columns: number of caterpillars killed during the experiment under a certain infectious load. Indicators (in percent) are shown on the left side of the table. Arrows: the minimum and maximum number of deaths during the next track count and cross markers: the average number of deaths during the next track count. Indicators (in absolute values) on the right side of the table. Horizontal: titre, from highest to lowest
Supplementary file ROBINS-I Risk of Bias table in Methylphenidate for attention deficit hyperactivity disorder (ADHD) in children and adolescents - assessment of possible adverse events in non-randomised studies.
<p>ROBINS-I Risk og Bias Table</p>
Figure 2. Results for firm name "Váhostav" are in table. Each row defines a firm with its name, identification number and address. Then a connection is specified (whether it be a person or another firm).-Browsing Semantic Data in Slovakia
<p>We have searched for firm “Váhostav”, which is a rather big firm in Slovakia, with many press articles published about31. On Figure 2 there is a browsing window, for SBR data results, displaying tabular structure, which was refined from SBR dataset by continuous querying.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 2. Content of the single database table in the previous implementation
<p>In the previous implementation there has been used a single database table which did not provide a consistent overview of existing tabs, areas and fields, as well as of the languages, in which a specific field of an area or tab was translated. So, it was difficult to maintain this database table by the customizing end-users in different languages, because every update of a tab, area or field required a number of actions in this table which had to be done manually and very carefully, requiring much time and attention. The number of rows of this table was very large and the content looked like the one shown in figure 2. </p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 4. Table structure and relationships
<p>The structure of the tables, primary keys and foreign keys are shown in figure 4.The names of the fields in the database tables are relevant for their content. Only the SPRAS field in the translation-tables TABT and ARET must be explained: SPRAS is a system-field which stands for the language and is used in order to maintain the languages in which the tab/area is translated into.</p>
BRAIN Journal-Redesigning a Flexible Material Master Data Application with Language Dependency-Figure 3. The logical data model of tables and views
<p>The five tables, named TAB, TABT, AREA, ARET and FLD, are combined within three views (TABV, AREV and FLDV) which build a cluster view, TAFC (figure 3). </p>
OTU table - Joli et al. Scientific Reports - Janus Gateway
<p>This texte file represent the OTU table from the paper Joli et al. published in Scientific Reports as "Need for focus on microbial species following ice melt and changing freshwater regimes in a Janus Arctic Gateway". The first column contains the OTU number and each following columns contain the number of reads for each sample. The last column gives the taxonomy after confronting dataset to a eukaryotic 18S database.</p>
Figs_tables_for_Tang&Sun2018_analytical_GreenFun
<p>We shear the data and code of Figs. 3-6 used in the manuscript "Closed-form expressions of seismic deformation in a homogeneous Maxwell Earth model". The Figs. 1-2 are shared here as well. Figs. 3-4 are the displacement vector Green's functions due to four point dislocations with a depth of 32 km. Figs. 5-6 are the displacement vector due to a left-lateral finite strike-slip fault.</p> <p>For the data *.txt for Figs. 3-4, the columns denote the angular distance (theta), the vertical component, the south-north component, the east-west component, respectively.</p> <p>For the data for Figs. 5-6, the columns of *.xy file denotes <em>the distance along longitude, the distance along latitude, direction (rotation from east to north), horizontal displacement, north displacement, east displacement, vertical displacement</em>. The columns of vector2.txt for Fig. 5 denote the <em>distance along longitude, the distance along latitude, the unit direction vector along the east, the unit direction vector along the north.</em></p>
Artificial Intelligence and the Future of Smart Cities-Table 1. Smart city complex system factors
<p>Figure 2 underlines the importance of traditional production factors such as capital and labour in achieving and driving growth which arises when either stock of capital or labour increase or they are more effectively used. Total factor productivity (TFP) represents the growth enhanced by the use of technology and innovation. Besides these traditional factors, Purdy and Daugherty (2016) consider that AI can be seen as a new production factor, a capital-labour hybrid that will lead to significant growth opportunities. This is due to the advancement made in AI, which allows nowadays to replicate some labour activities at a greater and faster scale than humans (e.g. virtual text assistance, self-learning machines) (Purdy and Daugherty, 2016).</p>
Look Up Tables for removing background atmospherical signal in visible satellite imagery
<p>Look Up Tables for removing the background atmospherical signal due to Rayleigh scattering of molecules, absorption by atmospheric gases and aerosols, and Mie scattering of aerosols in satellite imagery utilising channels in the visible spectral range</p> <p>Derived from LibRadTran simulations for various standard atmospheres and various aerosol profiles.</p>
MAJA look-up tables for Sentinel-2 A&B sensors, for a continental aerosol model
<p>These are the Look-up tables used by MAJA atmospheric correction software, used to process Sentinel-2 A&B sensors.</p> <p>These look-up tables correspond to a continental model.</p>
Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016
<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.</p>
NQRS raw data to 10.1103/PhysRevX.8.021076 TABLE VIII
<p>These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. Temperature sweep measurements were performed using the sequences explained in APPENDIX B. Fitting models (B3) and (B4) have been applied.</p> <p>The best-fit parameters for the linear temperature coefficnet C37 can be found in APPENDIX C, TABLE VII.</p> <p>The names of the files follow the labelling: sampleNr_transitionNr_temperature_sweep.txt</p> <p>the organization of the txt-files is as follows:</p> <p><strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. temperature steps)</p> <p><strong>Data set</strong>: records stacke on top of each other:</p> <p><strong> real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong></p> <p>the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer</p> <p><strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the "Obeserve Freq" of the spectrometer during the sequence, (excitiation and detection frequency). Also under the section "Comment" the used temperature steps can be found.</p> <p>also: filter bandwidth, dwell time, delay time, pulse length ....</p> <p>if anything, just ask: christian.goesweiner@tugraz.at</p>
Fig. 6. Female genital morphology. See Table 1 for localities and Table 3 for measurements. A in Cochlostoma revised: the subgenus Lovcenia Zallot et al., 2015 (Caenogastropoda, Cochlostomatidae)
Fig. 6. Female genital morphology. See Table 1 for localities and Table 3 for measurements. A. Cochlostoma (Lovcenia) erika (A.J. Wagner, 1906) (HNHM 86387). B. Cochlostoma (Lovcenia) dalmatinum (L. Pfeiffer, 1863) (NHMW 110430/MN/0162). C. Cochlostoma (Lovcenia) tropojanum sp. nov. (NHMW 111248). D1. Cochlostoma (Lovcenia) jakschae sp. nov., Bugarska Peak population (NHMW 111249). D2. Cochlostoma (Lovcenia) jakschae sp. nov., Pejë Pass population (HNHM 97221). E. Cochlostoma (Lovcenia) lanatum sp. nov. (HNHM 99861).
Characterizing Novel Olfactory Receptors Expressed in the Murine Renal Cortex: Supplemental Table S1
<p><strong>Ligand screening of Olfr90, Olfr461, Olfr558, Olfr1034, and Olfr1396.</strong> The complete screening results of all compounds tested on all 5 murine ORs. Compounds were tested at 0.5 mM unless otherwise specified. “+” indicates robust statistically signification activation, while “–” indicates no response. ORs listed in the Classification column are siblings of tested ORs. The term “general” is used for compounds in our library that are commonly used to screen ORs, and “biofluids” refers to compounds listed in the Human Metabolome Database which are detected in biofluids such as blood, urine, etc.</p> <p> </p> <p> </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.