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12,346 results for “derivatives”
FitteR for Accretion ProPErties of T Tauri stars (FRAPPE): A new approach to use Class III spectra to derive stellar and accretion properties (Additional Plots)
Open the record for dataset details and reuse information.
Data to "Adsorption of Phenylboronic Acid Derivatives on Rutile TiO2(110)"
<p>Raw data, meta data, data evaluation and final figures to the corresponding publication.</p>
Catalyst Control over S(IV)-stereogenicity via Carbene-derived Sulfinyl Azolium Intermediates
<p><span>This folder /DFT_optimized_structures/ contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper</span></p> <p><span>"Catalyst Control over S(IV)-stereogenicity via Carbene-derived Sulfinyl Azolium Intermediates"</span></p> <p><span>where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...</span></p>
Lab_02_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_02_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1> <p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank" rel="noopener">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p> <p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank" rel="noopener">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">here</a>.</p> <p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
CLDF Dataset derived from Starostin's "Indo-European files in DBV/VAR" from 2005
<p>Cite the source of the dataset as:</p> <blockquote> <p>Starostin, S. A. (2005): Indo-European files in DBF/VAR. Moscow.</p> </blockquote>
Lab_32_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_32_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Fig. 1 in Evolutionary biogeography of the freshwater fish family Anablepidae (Teleostei: Cyprinodontiformes), a marine-derived Neotropical lineage
Fig. 1 Map showing the eight areas selected in the Neotropical region overlaid with the ecoregions defined by Abell et al. (2008). These areas were selected based on Amorim and Costa (2019) and Frota et al. (2019). For details, see the "Materials and methods" section
Fig. 3 in Evolutionary biogeography of the freshwater fish family Anablepidae (Teleostei: Cyprinodontiformes), a marine-derived Neotropical lineage
Fig. 3 Cladograms showing the results of Brooks Parsimony Analysis and the historical relationships among the selected areas using Anablepidae as a case study. The two most parsimonious general area cladograms are represented by a and b. Note that the positions of the Iguaçu River basin and Southeastern Brazil are decisive for biogeographic interpretations. The strict consensus cladogram is
Supplementary material 1 from: Ávila MP, Carvalho RN, Casatti L, Simião-Ferreira J, de Morais LF, Teresa FB (2018) Metrics derived from fish assemblages as indicators of environmental degradation in Cerrado streams. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e12895
Table S1. Species identity, total number of individuals and species classification according to trophic guilds and habitat use. Terins: terrestrial invertivorous; Aquins: aquatic invertivorous; Det-Per: detritivorous/periphytivorous; Pis: piscivorous; Omni: omnivorous; WC: water column; Ben: benthic; Nectb: nectobenthic; Bank: bank-dwelling species; Rheo: rheophilic. Figure S1. Species accumulation (black) and rarefaction curve (gray) based on samples. : Data type: measurement
Supporting Data for the paper titled"Diurnal Variation of Liquid Water Path Derived from Two Polar-Orbiting FengYun-3 Microwave Radiation Imagers"
<p>The dataset contains:</p> <p>a) 4 files with name indicating collocated satellite, sensor, latitude,longitude and brightness temperature; format</p> <p>b) annual mean liquid water path derived from FY-3B/C Level 1 data; satellite,sensor, region; format</p> <p>c) annual mean amplitude and phase</p> <p>d) four seasons (winter,spring,summer, and autumn) mean amplitude</p> <p>d) 24 files with name indicating sensor, lwp, region, local solar time hour, format</p> <p>All files can be read by using matlab language.</p> <p> </p> <p>The first author was supported by National Natural Science Foundation of China Grant 91337218, and the second author was supported by NOAA grant NA14NES4320003 (Cooperative Institute for Climate and Satellites-CICS) at the University of Maryland/ESSIC.</p> <p>Corresponding author: Xiaolei Zou,xzou1@umd.edu</p>
FIGURE 4. Neighbour Joining network derived from a in Two new species of blue-eyed Trimma (Pisces; Gobiidae) from New Guinea
FIGURE 4. Neighbour Joining network derived from a BOL analysis of the COI gene of the Trimma haplogroups associated with T. blematium and T. meityae. Image by R. Winterbottom.
FIGURE 3 in The millipede Craspedosoma raulinsii Leach, 1814 (Chordeumatida: Craspedosomatidae) in North America with comments on the derivation of its binomial name
FIGURE 3. Live adult female specimen of Craspedosoma raulinsii (NBM 10660). Note the rich reddish brown pigment in narrow bands on either side of a median dark dorsal line.
FIGURE 1 in The millipede Craspedosoma raulinsii Leach, 1814 (Chordeumatida: Craspedosomatidae) in North America with comments on the derivation of its binomial name
FIGURE 1. Distribution and habitat of Craspedosoma raulinsii in eastern Canada. A). Cornhill Nursery, Cornhill, New Brunswick. Craspedosoma raulinsii was collected from underneath potted plants (arrow). B). Suburban garden Grand Bay-Westfield. Craspedosoma raulinsii was collected from leaf litter in perennial flower beds (arrow). C). Filled circle marks the Gatineau, Quebec report of Shelley (1990). Filled triangles mark the New Brunswick records reported here.
FIGURE 2. A in The millipede Craspedosoma raulinsii Leach, 1814 (Chordeumatida: Craspedosomatidae) in North America with comments on the derivation of its binomial name
FIGURE 2. A. Female specimen of Craspedosoma raulinsii (NBM 10324) B. Anterioventral SEM image of gonopod (L8) and podosternite of L9 (colored) of male Craspedosoma raulinsii. Both from Cornhill, New Brunswick.
Supplementary data for "Computational Investigation of RO2 + HO2 and RO2 + RO2 Reactions of Monoterpene Derived First-Generation Peroxy Radicals Leading to Radical Recycling", revised version submitted to J. Phys. Chem. A
<p>log files (Gaussian 09) and out files (Orca 4.0)</p> <p>(Note: Files_final.zip contains all the same log and out files as Files.zip, but also few additional structures added during the revision process, namely two additional RO2 from ocimene ozonolysis, and one additional transition state for a RO2 + HO2 reaction. Please ignore the file Files.zip.)</p>
Transcriptome profiling of derived-hepatocyte progenitors from human iPSCs with nanoCAGE - part 1 - sequencing data (FASTQ files)
<p>This repository contains raw sequencing data (FASTQ files) produced from Illumina MiSeq run IDs "170630_M00528_0292_000000000-B9JY8" (aka "NC_LIMMS") and "180221_M00528_0334_000000000-B6PJM" (aka "NC_LIMMS2") . Sequencing libraries were prepared following the latest version of the nanoCAGE protocol (Poulain et al., Methods Mol Biol. 2017;1543:57-109. doi: 10.1007/978-1-4939-6716-2_4). They respectively contain a mix of 24 ("NC_LIMMS") and 18 ("NC_LIMMS2") samples tagged by specific barcode sequences at the 5'-ends (see tables below). The tagmentation step included in the protocol was performed using an equimolar mix of 12 Nextera XT N-series index primers (N701 to N712), therefore "NNNNNNNN" was indicated as index sequence on the Illumina Sample Sheet for the demultiplexing (see tables below). Libraries were sequenced paired-end on Illumina MiSeq system with the MiSeq Reagent Kit v3 (150 cycles: 58 cycles used for READ1, 8 cycles used for the Index, and 84 cycles used for READ2). Genomic alignments (BED files) of paired-end reads on human genome assemblies hg19 and hg38 using the MOIRAI pipeline (Hasegawa et al. BMC Bioinformatics 2014 May 16;15:144. doi: 10.1186/1471-2105-15-144) were deposited at Zenodo under the following Digital Object Identifier: 10.5281/zenodo.1017276.</p> <p> </p> <p><em><strong>"170630_M00528_0292_000000000-B9JY8" ("NC_LIMMS") :</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>1 iPSC_control_rep1 4 ACAGAT NNNNNNNN</p> <p>2 iPSC_control_rep2 24 ATCGTG NNNNNNNN</p> <p>3 iPSC_control_rep3 31 CACGAT NNNNNNNN</p> <p>4 S3P1_OK_rep1 36 CACTGA NNNNNNNN</p> <p>5 S3P1_OK_rep2 46 CTGACG NNNNNNNN</p> <p>6 S3P1_OK_rep3 63 GAGTGA NNNNNNNN</p> <p>7 S4P1_OK_rep1 79 GTATAC NNNNNNNN</p> <p>8 S4P1_OK_rep2 92 TCGAGC NNNNNNNN</p> <p>9 S4P1_OK_rep3 9 ACATGA NNNNNNNN</p> <p>10 S4P2_OK_rep1 21 ATCATA NNNNNNNN</p> <p>11 S4P2_OK_rep2 33 CACGTG NNNNNNNN</p> <p>12 S4P2_OK_rep3 45 CGATGA NNNNNNNN</p> <p>13 S1P1_rep1 57 GAGATA NNNNNNNN</p> <p>14 S1P1_rep2 69 GCTCTC NNNNNNNN</p> <p>15 S1P1_rep3 81 GTATGA NNNNNNNN</p> <p>16 S3P1_FAILED_rep1 93 TCGATA NNNNNNNN</p> <p>17 S3P1_FAILED_rep2 11 AGTAGC NNNNNNNN</p> <p>18 S3P1_FAILED_rep3 23 ATCGCA NNNNNNNN</p> <p>19 S4P1_FAILED_rep1 35 CACTCT NNNNNNNN</p> <p>20 S4P1_FAILED_rep2 47 CTGAGC NNNNNNNN</p> <p>21 S4P1_FAILED_rep3 59 GAGCGT NNNNNNNN</p> <p>22 S4P2_FAILED_rep1 71 GCTGCA NNNNNNNN</p> <p>23 S4P2_FAILED_rep2 83 TATAGC NNNNNNNN</p> <p>24 S4P2_FAILED_rep3 95 TCGCGT NNNNNNNN</p> <p> </p> <p><em><strong>"180221_M00528_0334_000000000-B6PJM" ("NC_LIMMS2"):</strong></em></p> <p><strong>ID Sample_name Barcode_number Barcode_sequence Index_sequence</strong></p> <p>25 PETRI_rep1 04 ACAGAT NNNNNNNN</p> <p>26 PETRI_rep2 24 ATCGTG NNNNNNNN</p> <p>27 PETRI_rep3 31 CACGAT NNNNNNNN</p> <p>28 BIOCHIP_E_rep1 6 CACTGA NNNNNNNN</p> <p>29 BIOCHIP_M_rep1 46 CTGACG NNNNNNNN</p> <p>30 BIOCHIP_S_rep1 63 GAGTGA NNNNNNNN</p> <p>31 BIOCHIP_E_rep2 79 GTATAC NNNNNNNN</p> <p>32 BIOCHIP_M_rep2 92 TCGAGC NNNNNNNN</p> <p>33 BIOCHIP_S_rep2 09 ACATGA NNNNNNNN</p> <p>34 BIOCHIP_E_rep3 21 ATCATA NNNNNNNN</p> <p>35 BIOCHIP_M_rep3 33 CACGTG NNNNNNNN</p> <p>36 BIOCHIP_S_rep3 45 CGATGA NNNNNNNN</p> <p>37 HEPATOCYTES_rep1 57 GAGATA NNNNNNNN</p> <p>38 HEPATOCYTES_rep2 69 GCTCTC NNNNNNNN</p> <p>39 iPSC_control_rep1-2 81 GTATGA NNNNNNNN</p> <p>40 BIOCHIP_E_rep2-2 93 TCGATA NNNNNNNN</p> <p>41 BIOCHIP_M_rep1-2 11 AGTAGC NNNNNNNN</p> <p>42 BIOCHIP_S_rep2-2 23 ATCGCA NNNNNNNN</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (3/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data210rdc.tar.xz: for Ls=210-240 (47 Sols)</p> <p>data240rdc.tar.xz: for Ls=240-270 (46 Sols)</p> <p>data270rdc.tar.xz: for Ls=270-300 (48 Sols)</p> <p>data300rdc.tar.xz: for Ls=300-330 (51 Sols)</p> <p>data330rdc.tar.xz: for Ls=330-360 (56 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (2/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data090rdc.tar.xz: for Ls=090-120 (64 Sols)</p> <p>data120rdc.tar.xz: for Ls=120-150 (60 Sols)</p> <p>data150rdc.tar.xz: for Ls=150-180 (54 Sols)</p> <p>data180rdc.tar.xz: for Ls=180-210 (49 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (1/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data000rdc.tar.xz: for Ls=000-030 (61 Sols)</p> <p>data030rdc.tar.xz: for Ls=030-060 (66 Sols)</p> <p>data060rdc.tar.xz: for Ls=060-090 (67 Sols)</p>
Supporting data for: A 250-year European drought inventory derived from ensemble hydrologic modelling
<p>Supporting data for visualization of 250-year (1766-2015) inventory of European meteorological, hydrological and agricultural droughts derived from ensemble simulations of the mesoscale Hydrological Model (mHM)</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.