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12,625 results for “LINE”
PAsCAL WP6 Pilot 3 Autonomous Bus Line Datasets (Passengers and Co-Road Users)
<p>These two datasets were collected within the context of the PAsCAL research project between September 2021 and March 2022 on the campus of the UAM University in Madrid, Spain. Subject of the pilot was a Level 4 autonomous bus shuttle, which is to date one of the only shuttles in Europe to run in open traffic. Due to this and the fact that only a steward is on-board of the vehicle in case of incidences or passenger support, two surveys were designed:</p> <ol> <li>Survey for Shuttle Users: Passengers experienced the ride on the autonomous shuttle within the context of the multi-modal trip, connecting them to an interurban train station and an interurban (long-distance) bus station on the other side. Purpose of the survey was to capture the participant's overall acceptance and attitude towards the vehicle after using it and comparing it directly to available traditional modes of transport.</li> <li>Survey for Shuttle Co-Road Users: Since the shuttle is operating in open traffic, co-road users were also stopped randomly and asked to complete the survey to map the acceptance of the autonomous shared and public vehicle they were sharing the road with. This included not just car drivers, but also pedestrians and cyclists on-site.</li> </ol> <p>In order to analyse the answers given to the questions, it is recommended to consult also the "PAsCAL WP6 Pilots Surveys" dataset, which contains all questions and possible answers.</p>
Dataset of lightning flashovers on medium voltage distribution lines
<p>This <strong>synthetic dataset</strong> was generated from <strong>Monte Carlo</strong> simulations of <strong>lightning flashovers</strong> on medium voltage (MV) <strong>distribution lines</strong>. It is suitable for training <strong>machine learning</strong> models for classifying lightning flashovers on distribution lines. The dataset is <strong>hierarchical</strong> in nature (see below for more information) and <strong>class imbalanced</strong>.</p> <p>Following five different types of lightning interaction with the MV distribution line have been simulated: (1) direct strike to phase conductor (when there is no shield wire present on the line), (2) direct strike to phase conductor with shield wire(s) present on the line (i.e. shielding failure), (3) direct strike to shield wire with backflashover event, (4) indirect near-by lightning strike to ground where shield wire is not present, and (5) indirect near-by lightning strike to ground where shield wire is present on the line. Last two types of lightning interactions induce overvoltage on the phase conductors by radiating EM fields from the strike channel that are coupled to the line conductors. Three different methods of indirect strike analysis have been implemented, as follows: Rusck's model, Chowdhuri-Gross model and Liew-Mar model. Shield wire(s) provide shielding effects to direct, as well as screening effects to indirect, lightning strikes.</p> <p><strong>Dataset</strong> consists of two independent distribution lines, with heights of 12 m and 15 m, each with a flat configuration of phase conductors. Twin shield wires, if present, are 1.5 m above the phase conductors and 3 m apart [2]. CFO level of the 12 m distribution line is 150 kV and that of the 15 m distribution line is 160 kV. Dataset consists of <strong>10,000 simulations</strong> for each of the distribution lines.</p> <p>Dataset contains following variables (features):</p> <ul> <li>'<em>dist</em>': perpendicular distance of the lightning strike location from the distribution line axis (m), generated from the Uniform distribution [0, 500] m,</li> <li>'<em>ampl</em>': lightning current amplitude of the strike (kA), generated from the Log-Normal distribution (see IEC 60071 for additional information),</li> <li>'<em>front</em>': lightning current wave-front time (us), generated from the Log-Normal distribution; it needs to be emphasized that amplitudes (ampl) and wave-front times (front), as random variables, have been generated from the appropriate bivariate probability distribution which includes statistical correlation between these variates,</li> <li>'<em>veloc</em>': velocity of the lightning return-stroke current defined indirectly through the parameter "w" that is generated from the Uniform distribution [50, 500] m/us, which is then used for computing the velocity from the following relation: v = c/sqrt(1+w/I), where "c" is the speed of light in free space (300 m/us) and "I" is the lightning-current amplitude,</li> <li>'<em>shield</em>': binary indicator that signals presence or absence of the shield wire(s) on the line (0/1), generated from the Bernoulli distribution with a 50% probability,</li> <li>'<em>Ri</em>': average value of the impulse impedance of the tower's grounding (Ohm), generated from the Normal distribution (clipped at zero on the left side) with median value of 50 Ohm and standard deviation of 12.5 Ohm; it should be mentioned that the impulse impedance is often much larger than the associated grounding resistance value, which is why a rather high value of 50 Ohm have been used here,</li> <li>'<em>EGM</em>': electrogeometric model used for analyzing striking distances of the distribution line's tower; following options are available: 'Wagner', 'Young', 'AW', 'BW', 'Love', and 'Anderson', where 'AW' stands for Armstrong & Whitehead, while 'BW' means Brown & Whitehead model; statistical distribution of EGM models follows a user-defined discrete categorical distribution with respective probabilities: p = [0.1, 0.2, 0.1, 0.1, 0.3, 0.2],</li> <li>'<em>ind</em>': indirect stroke model used for analyzing near-by indirect lightning strikes; following options were implemented: 'rusk' for the Rusck's model, 'chow' for the Chowdhuri-Gross model (with Jakubowski modification) and 'liew' for the Liew-Mar model; statistical distribution of these three models follows a user-defined discrete categorical distribution with respective probabilities: p = [0.6, 0.2, 0.2],</li> <li>'<em>CFO</em>': critical flashover voltage level of the distribution line's insulation (kV),</li> <li>'<em>height</em>': height of the phase conductors of the distribution line (m),</li> <li>'<em>flash</em>': binary indicator that signals if the flashover has been recorded (1) or not (0). This variable is the outcome/label (i.e. binary class).</li> </ul> <p>Mathematical background used for the analysis of lightning interaction with the MV distribution line can be found in the references cited below.</p> <p><strong>References</strong>:</p> <ol> <li>A. R. Hileman, "Insulation Coordination for Power Systems", CRC Press, Boca Raton, FL, 1999.</li> <li>J. A. Martinez and F. Gonzalez-Molina, "Statistical evaluation of lightning overvoltages on overhead distribution lines using neural networks," in IEEE Transactions on Power Delivery, vol. 20, no. 3, pp. 2219-2226, July 2005.</li> <li>A. Borghetti, C. A. Nucci and M. Paolone, An Improved Procedure for the Assessment of Overhead Line Indirect Lightning Performance and Its Comparison with the IEEE Std. 1410 Method, IEEE Transactions on Power Delivery, Vol. 22, No. 1, 2007, pp. 684-692.</li> </ol>
Line luminosities of Galactic and Magellanic Cloud Wolf-Rayet stars
<p>Template (optical, continuum subtracted) emission line spectra of Milky Way and Magellanic Cloud Wolf-Rayet stars, presented in Appendix B of Crowther, Rate & Bestenlehner (2023, MNRAS, in press; https://arxiv.org/abs/2301.11297). Ascii format, wavelength (Angstrom) versus monochromatic luminosity (erg/s/Angstrom). Separate templates are provided for single-only and all (single+binary) since binaries are often contaminated by (Balmer) absorption lines from companion OB stars. Highly reddened sources (primarily in Milky Way) also exhibit strong interstellar features (CaII H&K, NaI D, DIBs at 4430, 5780, 5797 Angstrom) and some datasets involved have not been corrected for atmospheric telluric features. Owing to the heterogeneous origin of individual datasets, templates cover a range of wavelength regions, and some exclude the 6070-6400 Ang region, owing to detector gaps for ANU 2.3m + DBS spectroscopy. Separate templates are provided for each galaxy with the exception of WN/C and WO stars, which are also combined into a single dataset (owing to the low total numbers involved). Templates are degraded to a uniform resolution of 10 Angstrom, with average radial velocity corrections of 284 km/s (LMC) and 162 km/s (SMC) applied. Further details are provided in the README.txt file.</p> <p>Please cite Crowther, Rate & Bestenlehner in publications if these templates are used in research. </p>
Single-molecule DNA methylation patterns of full-length human-specific LINE-1 (L1HS) retrotransposons in a panel of cell lines.
<p>We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of full-length human-specific LINE-1 elements (L1HS). The approach capture region 1-210 of L1HS elements, which corresponds to the most 5' end of its promoter sequence. This was performed in a panel of 12 human primary or transformed cell lines (BJ, IMR90, MRC5, H1, K562, HCT116, HeLa S3, HepG2, MCF7, HEK-293, HEK-293T, 2102Ep), many being shared with the encode project.</p> <p>These datasets provide a visualization for DNA methylation patterns at the single molecule level for each L1HS loci.</p>
Experimental data for the article on Topological nodal line in superfluid 3He and the Anderson theorem
<p>This submission contains the minimal dataset required to reproduce the experimental findings related to the article titled <em>Topological nodal line in superfluid <sup>3</sup>He and the Anderson theorem</em> associated with DOI 10.1038/s41467-023-39977-2.</p>
NMR data for "Rapid and simple 13C-hyperpolarization by 1H dissolution dynamic nuclear polarization followed by an in-line magnetic field inversion"
<p>Liquid-state and solid-state NMR data for "Rapid and simple 13C-hyperpolarization by 1H dissolution dynamic nuclear polarization followed by an in-line magnetic field inversion".</p> <p>The data enclosed are NMR data generated by the software Topspin by Burker Biospin. The experiments are dDNP runs that come in two parts: a solid-state and a liquid-state part.</p> <ul> <li>Experiments from 1 to 9 are reference experiments used to quantify polarization in other experiments</li> <li>Experiments 11-19, 21-29, 31-39, ... 61-69 correspond to 6 dDNP runs performed a different samples from the same batch. The numbers correspond between solid and liquid-state datasets</li> </ul> <p>The codes used to analyze the data are available at in a next upload.</p> <p>Refer to the main text of the paper and its supplementary material at 10.26434/chemrxiv-2023-6gd0l for more information.</p>
KSR inhibitor APS-2-79 sensitivity test in JURKAT and ALL-SIL T-cell acute lymphoblastic leukemia cell lines measured by Cell Counting Kit 8
<p>APS-2-79 compound was purchased from MedChemExpress (Monmoutyh Junction, NJ, USA). The 20 mg/ml stock solution was prepared in DMSO. To calculate the IC50, JURKAT and ALL-SIL cells were cultured for 72h with a range of APS-2-79 concentrations (5-15 µM) added as equal volumes. Cells treated with 0.5% DMSO (vehicle) were used as negative control. Cells treated with 10% DMSO were used as positive control. The viability of cells was measured using Cell Counting Kit 8 (Sigma Aldrich) and GloMax Microplate Reader system (Promega) with 450 nm wavelength and 600 nm as reference wavelength. The relevant reads are made from following wells: 2A-2D (15 µM APS-2-79), 3A-3D (12.5 µM APS-2-79), 4A-4D (10 µM APS-2-79), 5A-5D (7.5 µM APS-2-79), 6A-6D (5 µM APS-2-79), 7A-7D (vehicle), 8A-8D (positive control).</p>
CBP01 Variable distance line-transect sampling of bird population numbers in different habitats on Konza Prairie (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/26/11. The abstract below was extracted from the Level 0 data package and is included for context: Records of bird species based on line transect sampling, giving perpendicular distance of sighting from the transect line on 16 separate transects. Bird surveys were conducted 2-4 times per year in January, April, June, and October for a 29-year period from 1981 to 2009. Transects were designed to determine bird communities and population numbers associated with tallgrass prairie habitats with different experimental treatments (fire frequency, grazed by bison vs. ungrazed), riparian habitats on forest edge, and gallery forests dominated by oak woodland.
Percent cover of vegetation measured by the line-intercept method at multiple locations on long-term ecosystem transects (including nitrogen fertilization treatments) at Jornada Basin LTER, 1982-2014
This data package contains data on the average percent cover of plant species on three permanent LTER-I transects at the Chihuahuan Desert Rangeland Research Center (CDRRC) in southern New Mexico. Prior to becoming a livestock exclosure, the study site was moderately to heavily grazed for the past 100 years. The purpose of this study was to document the vegetation changes associated with the addition of nitrogen fertilizer following nearly a century of grazing. Three permanent, parallel transects (2.7 km in length) run from the middle of the College Playa up to the foot of Mt. Summerford. The Treatment transect was treated annually with ammonium nitrate fertilizer (NH4NO3 at 10g N/m2/yr) until 1987. Along each transect, 91 stations, each with a plant intercept line, are spaced at 30 meter intervals. Each plant intercept line is perpendicular to a 2.7 km transect and is 30 meters in length broken into 5 meter segments. The included dataset gives calculated average percent cover of each plant species for each of these plant intercept lines on all three LTER-I permanent transects (91 lines each). Measurements were made biannually from 1982 - 1988. After this, they are measured every 5 years. Data consists of the date, week number, transect, station number, JRN species code, USDA Plants code, species binomial, photosynthetic pathway, habit, form, and average percent cover. This study is ongoing.
Old Mandu (बूढ़ी मांडू/बूढ़ी मांडव), Dhār district, Madhya Pradesh. Line of ruined fortifications.
<p>Old Mandu (बूढ़ी मांडू/बूढ़ी मांडव), Dhār district, Madhya Pradesh. Line of ruined fortifications. Photo: 2/2010.</p>
The [CII] 158 μm line emission in high-redshift galaxies: Data Set
<p>This data set contains all data tables associated to the publication: "The [CII] 158 μm line emission in high-redshift galaxies"; A&A Lagache, Cousin, Chatzikos 2018. Please cite it if you use those data.</p>
Library of equivalent widths of H I , He I , and He II lines of Massive Stars
<p>Library with the equivalent widths of the Balmer lines λλ 3835, 3889,<br> 3970, 4101, 4349, 4861; the He II lines λλ 4541 and 4200; the He I lines λλ 4471, 4387, 4144; and the He I +He II blended lines λ4026, measured in 45,000 CMFGEN models (Zsargó et al. 2020), and 202 PoWR models (Hainich et al. 2019) of OB stars.</p>
watercourse_100mseg: the Flemish watercourses represented by 100-meter line segments and corresponding downstream endpoints
<p>The data source <code>watercourse_100mseg</code> is derived from the raw data source '<a href="https://doi.org/10.5281/zenodo.4420904">watercourses</a>'. It represents all officially known watercourses of the Flemish Region as line segments of <strong>100 m</strong> (or < 100 m, for the most upstream segment of a watercourse). The data source can be used as a base layer of statistical <strong>population units</strong> (line segments) and corresponding anchor points, in the design of monitoring and research of watercourses.</p> <p>The data source is a GeoPackage with <strong>two spatial layers</strong>:</p> <ul> <li> <p><code>watercourse_100mseg_lines</code>: the line segments;</p> </li> <li> <p><code>watercourse_100mseg_points</code>: the corresponding downstream endpoints ('downstream' as defined in <code>watercourses</code>).</p> </li> </ul> <p>The coordinate reference system is 'Belge 72 / Belgian Lambert 72' (EPSG-code <a href="https://epsg.io/31370">31370</a>). Both layers have the same number of rows, and they share the same <strong>attributes</strong>:</p> <ul> <li><code>rank</code>: a unique, incremental number for each segment/endpoint. It just reflects the downstream-to-upstream order of segments within each original line.</li> <li><code>vhag_code</code>: the VHAG code from the raw <code>watercourses</code> data source. It distinguishes the different watercourses, so it is common to all segments/points that belong to the same watercourse.</li> </ul> <p>This version was derived from version '<code>watercourses_20200807</code>' (<a href="https://doi.org/10.5281/zenodo.4420905">Zenodo DOI</a>) as follows:</p> <ol> <li> <p>each line ('watercourse') of <code>watercourses</code> is split into segments of 100 m, where the remaining segment of < 100 m (per original line) is situated most upstream. For this step, the direction of the lines has been reverted (in <code>watercourses</code> the direction is from upstream to downstream). A unique rank number is assigned to each segment, as well as the VHAG code from the corresponding line in <code>watercourses</code>.</p> </li> <li> <p>the downstream endpoint of each segment is located, and assigned the same attributes (<code>rank</code> and <code>vhag_code</code>).</p> </li> </ol> <p>See R and GRASS code in the GitHub repository <a href="https://github.com/inbo/n2khab-preprocessing/tree/6b1d8f7/src/generate_watercourse_100mseg">'n2khab-preprocessing' at commit 6b1d8f7</a> for the creation from the <code>watercourses</code> data source.</p> <p>A reading function to return the data source in a standardized way into the R environment is provided by the R-package <a href="https://inbo.github.io/n2khab/">n2khab</a>.</p>
Processed NOMe-seq data for four human cell lines
<p>Raw NOME-seq data (Gene Expression Omnibus accession GSE57498) for the human cell lines HMEC, MCF7, PrEC, PC3 were aligned to hg19 using bwa-meth. Methylation and occupancy calls were made at WCG and GCH sites respectively using bwa-meth, BisSNP and bespoke, tailor made scripts (https://github.com/astatham/NOMe-seq-analysis).</p>
Fluorescent Confocal Laser Scanning Microscopy of White Blood Cells, Cancer Cell Line MCF7, and Mixtures of these Cells: A Model System for Circulating Tumor Cell Biomarker Evaluation V.1
<p>This is a confocal laser scanning microscopy data set of white blood cells (leukocytes), the cancer cell line MCF7, and mixtures of these cells acquired on a Zeiss LSM 780 microscope in the University of Colorado Anschutz Medical Campus Advanced Light Microscopy Core. Cells are fluorescently labeled for DNA with DAPI (Sigma D9542), lipids with Bodipy 495/503 (Thermo Fisher D3922), the filament protein cytokeratin (CK) with pan-cytokertain-alexa555 antibodies (Cell Signaling Technologies 3478S) and the surface membrane antigen CD45 with CD45-alexa647 antibodies (Biolegend 304020). Bodipy was excited with a continuous wave (CW) 488 nm laser, alexa555 was excited with CW 561 nm laser, and alexa647 was excited with a CW 633 nm laser. The acquiring instrument does not have a CW 405 nm source so DAPI was excited by two photon process using a Coherent Cameleon ultrafast pulsed laser tuned to 765 nm. The objective used was a Zeiss Plan-Apochromat 20x, 0.8 NA, air.</p> <p>The data consists of 4 channel 8x8 mosaic z-stacks. The Zeiss software performed stitching of the mosaics. These stitched data images are included and marked with _Stitched at the end. Those interested in performing the stitching themselves can do this with the raw data files (without the _Stitched). The jpeg images are processed from the stitched LSM images. The LSM files contain additional meta data on the experiment including power levels and acquisition settings.</p> <p>The _Stiched .lsm files will load in ImageJ (tested with V.1.49) as 4 channel 3 stack images.</p> <p>This data is a model system for evaluating the DNA/Lipids/CK/CD45 biomarker panel to identify circulating tumor cells (CTCs). The D- population of the model is the WBCs and the D+ population is the MCF7 cancer cell line. The amount of separation the biomarker panel plus analysis algorithm can produce between these populations (D+/D-) is an estimate the sensitivity and specificity of the biomarker panel plus algorithm to CTCs.</p> <p>Experiments generating the data were performed over the course of 15 days. Peripheral blood samples were collected from the Gynecological Tissue and Fluid Bank (COMIRB 07-0935 / COMIRB 05-1081) from consenting patients undergoing surgery at the University of Colorado Hospital. Blood samples were used the same day they were collected. Blood samples were collected from 3 patients with benign conditions, labeled WBBN#, and 3 patients with ovarian cancer, labeled WBCA#. We do not expect there to be any difference in the isolated white blood cells samples prepared from the cancer and benign patients. Samples were stored at room temperature until white blood cells were isolated. Mixed samples were prepared by passaging a MCF7 flask and mixing it with isolated white blood cells before fixation. A schedule showing the time duration between collection, processing and imaging is included as “experimental schedule.gif”.</p> <p>The MCF7 cancer cell line was a kind gift from Dr. Heide Ford. Genomic DNA was isolated from the MCF7 cell line after the experiment and sent for cell line authentication. The gDNA was a match to MCF7. The authentication report and data are included in this submission.</p> <p>CD45 antibodies were exhausted on day 7. New antibody was purchased and received on day 8. The day 7 images only has labels for DAPI and Bodipy. The samples prepared with the old antibodies on days 4 and 7 were relabeled and imaged with the new antibodies on days 14 and 15. This labeling was also done to confirm the pan-CK antibodies remained good since they are dim in the MCF7 cells imaged on days 12 and 13. The pan-CK on days 14 and 15 looks the same as it did on days 5 and 7 confirming the antibodies are good.</p> <p>Four of the filters containing cells were not sufficiently flat to be acquired with a 3 slice z-stack so a 5 slice z-stack was used. These files have been zipped to compress them under the 2 GB limit permitted by zenodo.org</p> <p>Further information on how these samples were prepared, processed, and analyzed can be found in our associated 2016 SPIE Photonics West BIOS conference proceeding titled, “Quantitative image cytometry measurements of lipids, DNA, CD45 and cytokeratin for circulating tumor cell identification in a model system”, http://dx.doi.org/10.1117/12.2222317.</p> <p>This work was supported by funding provided to the University of Colorado Cancer Center by the American Cancer Society and awarded as Institutional Research Grant Number 57-001-53, by funding provided by the Defense Advanced Research Projects Agency under grant number N66001-10-4035, and by funding provided by NIH/NCATS Colorado CTSI Grant Number TL1 TR001081. The University of Colorado Anschutz Medical Campus Advanced Light Microscopy Core is also supported in part by NIH/NCATS Colorado CTSI Grant Number UL1 TR001082. The funders had no role in the study design, data collection, analysis, or decision to publish.</p>
Tailoring noncollinear magnetism by misfit dislocation lines
<p>Data for the publication:</p> <p>"The large epitaxial stress induced by the misfit between a triple atomic layer Fe film and an Ir(111) substrate<br> is relieved by the formation of a dense dislocation line network. Spin-polarized scanning tunneling microscopy<br> investigations show that the strain is locally varying within the Fe film and that this variation affects the magnetic<br> state of the system. Two types of dislocation line regions can be distinguished and both exhibit spin spirals<br> with strain-dependent periods (ranging from 3 to 10 nm). Using a simple micromagnetic model, we attribute the<br> changes of the period of the spin spirals to variations of the effective exchange coupling in the magnetic film.<br> This assumption is supported by the observed dependence of the saturation magnetic field on the period of the<br> zero-field spin spiral. Moreover, magnetic skyrmions appear in an external magnetic field only in one type of<br> dislocation line area, which we impute to the different pinning properties of the dislocation lines."</p>
Deep learning based automatic grounding line delineation in DInSAR interferograms
<p>This dataset contains a small subset of the AIS_cci GLL product, which covers several key glaciers and the corresponding HED-delineated grounding lines generated from our automatic delineation pipeline. A description of the attributes of the AIS_cci GLL product is provided in the <a href="https://climate.esa.int/media/documents/ST-UL-ESA-AISCCI-PUG-0001.pdf" target="_blank" rel="noopener">Product User Guide</a>. We do not indicate the split of the interferograms into training, validation and test sets as the complete AIS_cci dataset is not open-access.</p> <p>We also provide eight double difference interferograms at 100 m pixel size to demonstrate the generation of the features stack. Please note, eight samples are not sufficient to train the neural network to achieve the delineation capability described in our work.</p> <p>The "UUID" attribute in both GeoJSON files is an identifier that links the vector geometries to the interferogram TiFF files. </p>
SeMRA Cell and Cell Line Mappings Database
<p>Originally a reproduction of the EFO/Cellosaurus/DepMap/CCLE scenario posed in the Biomappings paper, this configuration imports several different cell and cell line resources and identifies mappings between them. See instructions for reproduction and usage in the attached README.md.</p>
IrCytoToxDB: a dataset of iridium(III) complexes cytotoxicities against various cell lines
<h1><strong>If you use this dataset, please cite our paper</strong>: <a href="https://doi.org/10.1038/s41597-024-03735-w">https://doi.org/10.1038/s41597-024-03735-w</a></h1> <p>IrCytoToxDB contains 4546 experimentally measured cytotoxicity values of 1295 unique iridium(III) complexes against 177 different cell lines reported in the 389 literature papers from 2008 to 2025.</p> <p>The 15 columns of this dataset are explained as follows:</p> <ol> <li>L1 — SMILES representation of the L1 ligand attached to the iridium ion</li> <li>L2 — SMILES representation of the L2 ligand attached to the iridium ion</li> <li>L3 — SMILES representation of the L3 ligand attached to the iridium ion</li> <li>L4 — SMILES representation of the L4 ligand attached to the iridium ion</li> <li>Counterion — SMILES representation of the counterion (if the complex molecule is charged)</li> <li>Abbreviation_in_the_article — the original abbreviation depicting the complex in the article</li> <li>IC50Dark(M*10^-6) — value of IC<sub>50</sub> originally presented in the article</li> <li>IC50Dark_standard_error(M*10^-6) — standard error of IC<sub>50</sub> originally presented in the article</li> <li>IC50Light(M*10^-6) — value of IC<sub>50</sub> under irradiation originally presented in the article</li> <li>IC50Light_standard_error(M*10^-6) — standard error of IC<sub>50 </sub>under irradiation originally presented in the article</li> <li>Excitation_Wavelength(nm) — excitation wavelength related to IC50Light values</li> <li>Irradiation_Time(minutes) — irradiation time related to IC50Light values</li> <li>Irradiation_Power(W*m^-2) — power of light source related to IC50Light values</li> <li>Cell_line — cell line (HeLa, A549, etc.)</li> <li>Time(h) — time of exposure of the complexes to the cell line</li> <li>DOI — doi of a data source for given values</li> <li>Year — year of a data source for given values </li> <li>Comments — additional comments regarding the data</li> </ol> <p>Additional remarks:</p> <ul> <li>The array of iridium(III) complexes could be formally mainly in two parts – <em>bis</em>-cyclometalated Ir(III) complexes and half-sandwich Ir(III) complexes. The former usually contain two cyclometalated ligands and one or two ancillary (or third cyclometalated) ligand; for these L1 and L2 correspond to the cyclometalated ligands and L3 (or L3 and L4) corresponds to the ancillary ligand. The latter usually contain one cyclopentadiene<sup>-</sup>(Cp<sup>-</sup>)-based ligand, one bidentate ligand and one monodentate ligand; for these L1 corresponds to the Cp<sup>-</sup>-based ligand, L2 corresponds to the bidentate ligand and L3 corresponds to the monodentate ligand.</li> <li>Some ligands make formally covalent bonds with the Ir(III) ion. For these a negatively charged bond-forming atom is drawn in the SMILES of corresponding ligand.</li> </ul>
Revisiting ε Eridani with NEID: Line Parameter Data Cube
<p>This repository contains the data cube (an <a href="https://xarray.dev/">xarray</a> DataArray) used in Jiang et al. 2023 <i>Revisiting ε Eridani with NEID: Identifying New Activity-Sensitive Lines in a Young K Dwarf Star</i> (in press). The cube contains all line parameters (centroid, depth, FWHM, and integrated flux) for each line in the compiled line list over 32 NEID observations of ε Eridani spanning a six-month period from September 2021 to February 2022, as well as the measured RV and activity indices for each observation. For information on how the line parameters are measured, see the paper.</p>
ScienceDex guides
Understand access before you commit
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.