Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10
datasets available to search
ShareScore release 0.9.0
Dataset results
10 results for “Base cations”
Unintended cation crossover influences CO2 reduction selectivity in Cu-based zero-gap electrolysers
<p>Dataset for the publication "Unintended cation crossover influences CO2 reduction selectivity in Cu-based zero-gap electrolysers"</p>
Anacostia Watershed Study: Base Cations, Inorganic Carbon, and Water Quality
<p>Campus Creek and Paint Branch Creek are two urban streams in the Anacostia River watershed. Both sampling sites for these two streams are located on the campus of the University of Maryland, College Park. Please see Kaushal 2019 for further site descriptions. Data on following pages is for water quality that has been published in Kaushal et al. 2017, Haq et al. 2018, Kaushal et al. 2018, Kaushal et al. 2019.</p>
Raw data for the article: Synthesis of aminyl biradicals by base-induced Csp3-Csp3 coupling of cationic azo dyes
<p>RAW DATA FOR THE ARTICLE</p> <p>TITLE: Synthesis of aminyl biradicals by base-induced Csp3-Csp3 coupling of cationic azo dyes</p> <p>AUTHORS: Yizhu Liu, Paul Varava, Alberto Fabrizio, Leonard Y. M. Eymann, Alexander G. Tskhovrebov, Ophélie Marie Planes,<br> Euro Solari, Farzaneh Fadaei-Tirani, Rosario Scopelliti, Andrzej Sienkiewicz, Clémence Corminboeuf, and Kay Severin</p> <p><br> JOURNAL: Chemical Science 2019</p> <p>DOI: 10.1039/c9sc01502g</p> <p>Names of folders correspond to the compound number in the article.<br> </p>
Data from: Sustainable aerogels based on biobased poly (itaconic acid) for adsorption of cationic dyes
<p>The upload contains data associated with the publication, including raw data in the original file format whenever possible.</p> <p>This work was financially supported by the Lead Agency bilateral a Czech-Polish project provided by the Czech Science Foundation (21-07004K) and National Science Center Poland (CEUS-UNISONO project grant no. 2020/02/Y/ST5/00021).</p>
MD data for Ionizable cationic lipids and helper lipids synergistically contribute to RNA packing and protection in lipid-based nanomaterials
<p>The data stored in this repository is part of the journal article: Zimmer, D. N., Schmid, F., & Settanni, G. (2024). Ionizable Cationic Lipids and Helper Lipids Synergistically Contribute to RNA Packing and Protection in Lipid-Based Nanomaterials. <em>The Journal of Physical Chemistry B</em> <a href="https://doi.org/10.1021/acs.jpcb.4c05057" target="_blank" rel="noopener">https://doi.org/10.1021/acs.jpcb.4c05057</a></p> <p> </p> <p>Data of multiscale simulations of DLinDMA:DOPE:Cholesterol, DLinDMA:DSPC:Cholesterol, DLinDAP:DOPE:Cholesterol and DLinDAP:DSPC:Cholesterol in the presence of RNA. For each formulation, data is provided with different coarse-grained parameterizations (generic, adapted) and differents treatments of the RNA (ELN, noELN). Provided are the first and the final frame of each run, the associated topologies, and the respective gromacs input files.</p> <p><strong>> M_PE, M_PC, P_PE, P_PC</strong></p> <p>DLinDMA:DOPE:Cholesterol, DLinDMA:DSPC:Cholesterol, DLinDAP:DOPE:Cholesterol and DLinDAP:DSPC:Cholesterol in presence of a 40mer RNA fragment. </p> <ul> <li>cg_<strong>generic</strong>+aa: <ul> <li>cg: 2 microsecond production run based on a generic MARTINI parametrization <ul> <li>md_0.gro: first frame</li> <li>md_10.gro: final frame </li> <li>cg_rna_bilayer.top: Topology of the system</li> <li>cg_DLD{M/P}_lipid.itp: generic MARTINI topology of DLinDMA/DLinDAP</li> <li>martini_v2.0_CHOL_02.itp, martini_v2.0_DSPC_01.itp, martini_v2.0_ions, martini_v2.1.itp, martini_v2.1-dna.itp: Several MARTINI topology files for molecules not included in MARTINI</li> <li>Nucleic_A.itp or Nucleic_A_eln.itp: Topology of the RNA fragment for MARTINI</li> </ul> </li> <li>aa: 300/600 nanosecond production run based on CHARMM36 <ul> <li>md_0.gro: first frame</li> <li>md_60.gro: final frame </li> <li>backmapped.top: Topology of the system (including the parametrization of DLinDMA/DLinDAP)</li> <li>CHOL.itp, DOPE.itp, DSPC.itp, 40mer_autopsf.itp: topology files for Cholesterol, DOPE, DSPC and RNA fragment as they are not part of the standard molecules in CHARMM36.</li> </ul> </li> <li>ELN and noELN indicate presence or absence of an elastic network to fix the structure of the RNA during the cg runs. </li> <li>cgmdp: Gromacs input files for the cg runs</li> <li>aamdp: Gromacs input files for the aa runs</li> </ul> </li> <li>cg_<strong>adapted</strong>+aa: <ul> <li>cg: starting and ending frame of a 2 microsecond production run based on an adapted MARTINI parametrization <ul> <li>md_0.gro: first frame</li> <li>md_10.gro: final frame </li> <li>cg_rna_bilayer.top: Topology of the system</li> <li>martini_v2.0_DIDMA_20 or martini_v2.0_DIDAP_20: generic MARTINI topology of DLinDMA/DLinDAP</li> <li>martini_v2.0_CHOL_02.itp, martini_v2.0_DSPC_01.itp, martini_v2.0_ions, martini_v2.1-dna_cr1_POL_NACL.itp: Several MARTINI topology files for molecules not included in MARTINI</li> <li>Nucleic_A.itp or Nucleic_A_eln.itp: Topology of the RNA fragment for MARTINI</li> </ul> </li> <li>aa: 300/600 nanosecond production run based on CHARMM36 <ul> <li>md_0.gro: first frame</li> <li>md_60.gro: final frame </li> <li>backmapped.top: Topology of the system (including the parametrization of DLinDMA/DLinDAP)</li> <li>CHOL.itp, DOPE.itp, DSPC.itp, 40mer_autopsf.itp: topology files for Cholesterol, DOPE, DSPC and RNA fragment as they are not part of the standard molecules in CHARMM36.</li> </ul> </li> <li>ELN and noELN indicate presence or absence of an elastic network to fix the structure of the RNA during the cg runs. </li> <li>cgmdp: Gromacs input files for the cg runs</li> <li>aamdp: Gromacs input files for the aa runs</li> </ul> </li> </ul>
Concentration of metals and base cations in green stormwater infrastructure soils
<p>Green stormwater infrastructure (GSI) is adopted to reduce the impact of stormwater on urban flooding and water quality issues. Traditional methods use inflow versus outflow metal and base cation concentrations from water samples at inlet and outlet to determine accumulation in GSI basins which can be expensive sometimes. Soil sampling could be a more cost-effective and time-averaged approach in evaluating the accumulation of metals and base cations in GSI compared to the traditional methods. This dataset presents data from twenty-one GSI basins soils located in New York and Pennsylvania, USA. The dataset contains a description of GSI basins considered in the study and the concentration of metals and base cations in those basins. The dataset includes concentrations of 3 base cations (Ca, Mg, Na) and 6 metals (Cd, Cr, Cu, Ni, Pb, and Zn). Various GSI basin characteristics are included in the dataset which includes information such as age of the basins, sources of runoff draining into the GSI basins, and drainage area ratio (ratio of the area draining into a GSI basin to the area of the GSI basin itself).</p>
Concentration of metals and base cations in green stormwater infrastructure soils
Open the record for dataset details and reuse information.
BES LTER Base Cation Data for Core Monitoring Streams across Land Use Gradient
<p>The Baltimore Ecosystem Study LTER has established a network of long-term biogeochemical hydrologic study sites. Sites range from suburban to highly urban. More site information can be found on the BESLTER page at www.beslter.org </p> <p>Descriptions of land use and further site descriptions can be found in Kaushal et al 2017. Tabs represent a different sites, listing the base cation concentrations, as well as a tab summarizing site averages as used in Kaushal et al. 2017.</p>
Datasets to From lithium to potassium: Comparison of cations in poly(ethylene oxide)-based block copolymer electrolytes for solid-state alkali metal batteries
<p>This dataset provides the raw data to the manuscript</p> <p><strong>"From lithium to potassium: Comparison of cations in poly(ethylene oxide)-based block copolymer electrolytes for solid-state alkali metal batteries"</strong></p> <p>published in Electrochimica Acta, Vol. 454, 20 June 2023. <a href="https://doi.org/10.1016/j.electacta.2023.142421">https://doi.org/10.1016/j.electacta.2023.142421</a></p> <p> </p> <p>Specifically, the following measurements are provided:</p> <p>Solid polymer electrolytes characterization:</p> <p>Differential Scanning Calorimetry ("DSC_")</p> <p>Rheological measurements ("RHEO_")</p> <p>Electrochemical Impedance Spectroscopy ("EIS_")</p> <p>Transference Number Measurements: Bruce-Vincent Method ("T+_EIS_ & T+_CA_")</p> <p>Pulsed Field Gradient NMR ("PFG_NMR_")</p> <p>Plating and Stripping Experiments ("PlatingStripping_")</p> <p> </p> <p>Prussian Blue analogue (PBA) characterization:</p> <p>Thermogravimetric analysis ("TGA_")</p> <p> </p> <p>Electrochemical cell tests of liquid and solid polymer electrolytes ("CYCLING_")</p>
Gene expression-based, inflammatory response prediction by bronchial epithelial cell line treated with signal peptide of eosinophil cationic protein
GEO Series GSE39122. Homo sapiens. 8 samples. Type: Expression profiling by array.
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.