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.
385
datasets available to search
ShareScore release 0.9.0
Dataset results
385 results for “HCl”
TCOM-HCl : Daily global gap-free stratospheric hydrogen chloride profile data set based on TOMCAT CTM and Occultation Measurements
<p>Methodology: </p> <p><span>The </span><strong><span>TOMCAT simulation</span></strong><span> was conducted at a T64L32 resolution, consistent with previous work by Dhomse et al. (2021, 2022), covering the period from 2000 to 2024. These simulations utilized </span><strong><span>ERA-5 reanalysis data</span></strong><span>.</span></p> <h3><span>HCl Profile Processing and Bias Correction</span></h3> <p><strong><span>Collocated HCl profiles</span></strong><span> are organized into five distinct latitude bins:</span></p> <ul> <li> <p><strong><span>NH polar</span></strong><span>: </span><span><span><span><span><span>9</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>N - </span><span><span><span><span><span>5</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>N</span></p> </li> <li> <p><strong><span>NH mid-lat</span></strong><span>: </span><span><span><span><span><span>2</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>N - </span><span><span><span><span><span>7</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>N</span></p> </li> <li> <p><strong><span>Tropics</span></strong><span>: </span><span><span><span><span><span>4</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>S - </span><span><span><span><span><span>4</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>N</span></p> </li> <li> <p><strong><span>SH mid-lat</span></strong><span>: </span><span><span><span><span><span>7</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>S - </span><span><span><span><span><span>2</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>S</span></p> </li> <li> <p><strong><span>SH polar</span></strong><span>: </span><span><span><span><span><span>9</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>S - </span><span><span><span><span><span>5</span><span>0<span><span><span><span><span><span><span>∘</span></span></span></span></span></span></span></span></span></span></span></span><span>S</span></p> </li> </ul> <p><span>Initially, </span><strong><span>differences between TOMCAT and satellite measurements</span></strong><span> (primarily ACE-FTS data) are calculated for each zonal bin across 51 height levels (ranging from </span><span><span><span><span><span>10</span><span>,</span><span><span>km</span></span></span></span></span></span><span> to </span><span><span><span><span><span>60</span><span>,</span><span><span>km</span></span></span></span></span></span><span>).</span></p> <p><strong><span>Separate XGBoost regression models</span></strong><span> are then trained for these HCl differences at each height level within a given latitude bin. These trained models are subsequently used to estimate </span><strong><span>HCl bias corrections</span></strong><span> for all daytime TOMCAT grids (9132 days), specifically sampled at 1:30 PM local time at the equator. This yields grid-specific bias corrections that are applied to the original TOMCAT profiles.</span></p> <p><strong><span>Height-resolved HCl profile data</span></strong><span> are then interpolated onto 28 standard pressure levels (from </span><span><span><span><span><span>300</span><span>,</span><span><span>hPa</span></span></span></span></span></span><span> to </span><span><span><span><span><span>0.1</span><span>,</span><span><span>hPa</span></span></span></span></span></span><span>), using pressure levels directly from the TOMCAT grids. For overlapping latitude bins, values are averaged to ensure smoother fields near boundary regions.</span></p> <h3><span>Data Files</span></h3> <p><span>The dataset includes two files containing daily mean zonal mean HCl profiles:</span></p> <ul> <li> <p><code><span>zmhcl_TCOM_hlev_T2Dz_2000-2024_V1.1.nc</span></code><span>: Contains </span><strong><span>height level data</span></strong><span> (</span><span><span><span><span><span>10</span><span>,</span><span><span>km</span></span></span></span></span></span><span> to </span><span><span><span><span><span>60</span><span>,</span><span><span>km</span></span></span></span></span></span><span>).</span></p> </li> <li> <p><code><span>zmhcl_TCOM_plev_T2Dz_2000-2024_V1.1.nc</span></code><span>: Contains </span><strong><span>pressure level data</span></strong><span> (</span><span><span><span><span><span>300</span><span>,</span><span><span>hPa</span></span></span></span></span></span><span> to </span><span><span><span><span><span>0.1</span><span>,</span><span><span>hPa</span></span></span></span></span></span><span>).</span></p> </li> </ul> <h3><span>Reference Publication</span></h3> <p><span>This methodology, incorporating only ACE-FTS data and various minor algorithmic developments, is based on the following publication:</span></p> <p><span>Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, </span><a title="null" href="https://doi.org/10.5194/essd-15-5105-2023"><span>https://doi.org/10.5194/essd-15-5105-2023</span></a><span>, 2023</span></p>
Experimental absorption spectra used in "Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF6: testing the β-correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model"
<p>Experimental absorption spectra used in the article entitled <strong>"Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF<sub>6</sub>: testing the β-</strong><strong>correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model", </strong>to be published in the Journal of Quantitative Spectroscopy and Radiative Transfer. Accepted 19 March 2024.</p> <div> <div> <div> <div> <h3><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jqsrt.2024.108977" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jqsrt.2024.108977</a></h3> </div> </div> </div> </div> <p> </p> <p>Comma separated ASCII files with 1 header line.</p> <p>First column is wavenumber in cm-1</p> <p>The rest of the columns contain the napierian absorbance at the total pressure given in the header. </p> <p>Mind the units!: pressure of Ar-mixtures is expressed in Torr, pressure of He- and SF6-mixtures is expressed in mbar</p> <p> </p>
TerraDS: A Dataset for Terraform HCL Programs
<h1>TerraDS</h1> <p>The TerraDS dataset provides a comprehensive collection of Terraform programs written in the HashiCorp Configuration Language (HCL). As Infrastructure as Code (IaC) gains popularity for managing cloud infrastructure, Terraform has become one of the leading tools due to its declarative nature and widespread adoption. However, a lack of publicly available, large-scale datasets has hindered systematic research on Terraform practices. TerraDS addresses this gap by compiling metadata and source code from 62,406 open-source repositories with valid licenses. This dataset aims to foster research on best practices, vulnerabilities, and improvements in IaC methodologies.</p> <h2>Structure of the Database</h2> <p>The TerraDS dataset is organized into two main components: a SQLite database containing metadata and an archive of source code (~335 MB). The metadata, captured in a structured format, includes information about repositories, modules, and resources:</p> <p>1. <strong>Repository Data</strong>:</p> <ul> <li>Contains 62,406 repositories with fields such as repository name, creation date, star count, and permissive license details.</li> <li>Provides cloneable URLs for access and analysis.</li> <li>Tracks additional metrics like repository size and the latest commit details.</li> </ul> <p>2. <strong>Module Data</strong>:</p> <ul> <li>Consists of 279,344 modules identified within the repositories.</li> <li>Each module includes its relative path, referenced providers, and external module calls stored as JSON objects.</li> </ul> <p>3. <strong>Resource Data</strong>:</p> <ul> <li>Encompasses 1,773,991 resources, split into managed (1,484,185) and data (289,806) resources.</li> <li>Each resource entry details its type, provider, and whether it is managed or read-only.</li> </ul> <h2>Structure of the Archive</h2> <p>The provided archive contains the source code of the 62,406 repositories to allow further analysis based on the actual source instead of the metadata only. As such, researcher can access the permissive repositories and conduct studies on the executable HCL code.</p> <h2>Tools</h2> <p>The "HCL Dataset Tools" file contains a snapshot of the <a href="https://github.com/prg-grp/hcl-dataset-tools" target="_blank" rel="noopener">https://github.com/prg-grp/hcl-dataset-tools</a> repository - for long term archival reasons. The tools in this repository can be used to reproduce this dataset.</p> <p>One of the tools - "RepositorySearcher" - can be used to fetch metadata for various other GitHub API queries, not only Terraform code. While the RepositorySearcher allows usage for other types of repository search, the other tools provided are focused on Terraform repositories.</p> <p> </p>
Data set for "The interfacial structure of InP(100) in contact with HCl and H2SO4 studied by reflection anisotropy spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, M. Guidat, J. Kim, and MM May, <em>The interfacial structure of InP(100) in contact with HCl and H<sub>2</sub>SO<sub>4</sub> studied by reflection anisotropy spectroscopy</em>, RSC Advances 12 (2022), 32756-32764. <a href="https://doi.org/10.1039/D2RA05159A">DOI:10.1039/D2RA05159A</a></p> <p>The data set is organised along the figures of the publication. '.ers', '.erc', and '.ert' are spectra, colour plots, and transients, respectively, in the native format of Laytec's EpiRAS. '.par' files are in the data format from the Princeton Applied Research VersaSTAT 3F potentiostat. Spectra files containing the name 'Si100' are from Si(100) wafers with native oxide, used for zero-line correction as described in the paper.</p>
Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts, Arctic LTER 1987 to 2002
Plant available NH4, NO3, and PO4 was determined at sites near ARC LTER Toolik acidic tundra and at a toposequence along the floodplain of the Sagavanirktuk River using 2 N KCL and weak HCL extracts. This file complies data collected at different times from 1987 through 2001 and includes initial extracts taken for buried bag method of net nitrogen mineralization.
Extractable NH4-N and NO3-N (2 N KCl), PO4-P (0.025 N HCl) and pH (0.01 M CaCl2) were measured on soils from a transect along the Dalton road, Arctic LTER 1991.
Extractable NH4-N and NO3-N (2 N KCl), PO4-P (0.025 N HCl) and pH (0.01 M CaCl2) were measured on soils from a transect along the Dalton road. Sites are Gus Shaver flowering sites and Arctic LTER sites.
Image analysis data for the study of the reactivity of the phases in Nd-Fe-B magnets etched with HCl-saturated Cyphos IL 101
<p>Scanning electronic microscopy (SEM), Energy dispersive X-rays Spectroscopy (EDS) and image analysis have been used as techniques to analyse the results of etching experiments carried on NdFeB permanent magnets by using the ionic liquid Cyphos IL 101 saturated with HCl. Image analysis is for the first time reported in the literature as a technique for corrosion studies.</p> <p>Operational conditions of the analysis equipment were the following:</p> <p>- The samples were analyzed via electron microscopy and image analysis. Scanning electron microscope (SEM) pictures and energy dispersed spectra (EDS) were collected with a JEOL JSM 5800 microscope, operating at 20 kV. The polished samples were made conductive by spraying a carbon layer on them using a Balzer SCD 050 sputter coater.</p> <p>- The EDS analysis were collected as average on 5 points per each SEM picture</p> <p>- A commercial software, ImageJ®, was used for the image analysis. Two data were analysed: the Feret diameter, d<sub>F</sub>, and the percentage of etched area, %area. The SEM images were converted to 8-bit grayscale, from 0 to 255 number of grey ranges. Simple linear scaling was applied</p>
How many water molecules does it take to dissociate HCl?
<p>The potential energy surface of HCl/water clusters with two water molecules, with molecular geometry and vibrational frequencies obtained at the CCSD(T) level using a Def2-TZVP basis.</p>
HCl measurement data using WMS in H2 and N2
<p>In the article 'Trace level analysis of reactive ISO 14687 impurities in hydrogen fuel using laser-based spectroscopic detection methods' (<a href="https://doi.org/10.1016/j.ijhydene.2020.09.046">https://doi.org/10.1016/j.ijhydene.2020.09.046</a>) measurements of various reactive compounds are presented in hydrogen and nitrogen. The dataset contain data for HCl. </p>
HF and HCl adsorptions onto YF3 (101)
<p>This dataset contains AMS-BAND electronic structures and pEDA+NOCV data (PBE+D3(BJ) / TZ2P / small frozen cores on all but Cl / ZORA / Gamma-point ) of HF and HCl adsorptions onto a (2×2×4) unit cell large YF3 supercell (= Y64F184) of (101) orientation. Each structure is its own .tar named according to surface + (number of) adsorbate molecules + structural isomer letter + structure number. Each structure contains the input file (.run), output file (.out) and the ams.results folder containing the log file (ams.log) and the binary AMS-BAND results files (ams.rkf, band.rkf).<br> If the NOCV deformation density isosurface files (.vtk) were calculated, these are also included within the ams.results folder. Due to dataset size limitations, it also includes 100x1HF_d_nr4.tar belonging to https://doi.org/10.5281/zenodo.7788977.</p> <p>The generation and relaxation of the atomic structures is described in: https://doi.org/10.3390/cryst13040555</p>
HCl adsorptions onto YF3 (010), (100), and (011)
<p>This dataset contains AMS-BAND electronic structures and pEDA+NOCV data (PBE+D3(BJ) / TZ2P / ZORA / small frozen cores on all but Cl) of HCl adsorptions onto a (2×3×2) unit cell large YF3 supercell (= Y48F144) of (010) or (100) orientation or a (2x2x4) unit cell large YF3 supercell (= Y64F192) of (011) orientation. The bare surfaces and isolated molecules are also included. Each structure is it's own .tar named according to surface + (number of) adsorbate molecules + structural isomer letter + structure number. Each structure contains the input file (.run), output file (.out) and the ams.results folder containing the log file (ams.log) and the binary AMS-BAND results files (ams.rkf, band.rkf).</p> <p>The generation and relaxation of the atomic structures is described in: https://doi.org/10.3390/cryst13040555</p>
1-D Model Files for Martian atmospheric chemistry of HCl: implications for the lifetime of atmospheric methane
<p>File containing 1-D model [netCDF] files used in the JGR: Planets manuscript "Martian atmospheric chemistry of HCl: implications for the lifetime of atmospheric methane".</p> <p><strong>MCD-model.zip</strong></p> <p>Contains data files where the 1-D model is driven using Mars Climate Database v5.3 standard climatological profiles of dust and ice aerosols and H2O. readme.txt provides details of the subdirectory structure.</p> <p><strong>TGO-model.zip</strong></p> <p>Contains data files where the 1-D model is driven using dust and ice aerosol profiles retrieved by the ACS TIRVIM and H2O profiles retrieved by either the NOMAD spectrometer or ACS NIR channel. readme.txt provides details of the directory structure.</p> <p><strong>matching_orbits.txt</strong></p> <p>Spatio-temporal details of the 77 ACS MIR HCl retrievals that we aim to reproduce, including the details of the approximately co-located ACS TIRVIM aerosol and NOMAD/ACS NIR H2O retrievals used to drive the 1-D model.</p>
Evaluation of Safety, Tolerability, and Antiviral Activity of Chlorcyclizine HCl in Patients With Chronic Hepatitis C
ClinicalTrials.gov study NCT02118012. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Evaluate the Effect of Long-term Treatment With BELVIQ (Lorcaserin HCl) on the Incidence of Major Adverse Cardiovascular Events and Conversion to Type 2 Diabetes Mellitus in Obese and Overw
ClinicalTrials.gov study NCT02019264. IPD Sharing: Not stated. Countries: 8. Publications: 4.
Dose-optimization in Adolescents Aged 13-17 Diagnosed With Attention-deficit/Hyperactivity Disorder (ADHD) Using Extended-release Guanfacine HCl
ClinicalTrials.gov study NCT01081132. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nevanimibe HCl for the Treatment of Classic CAH
ClinicalTrials.gov study NCT03669549. IPD Sharing: NO. Countries: 5. Publications: 1.
The Effect of Cetirizine HCl on Exercise-induced Arterial Hypoxemia in Highly-trained Swimmers
ClinicalTrials.gov study NCT05095311. IPD Sharing: YES. Countries: 1. Publications: 1.
Maintenance of Efficacy of Extended-Release Guanfacine HCl in Children and Adolescents With Attention-deficit/Hyperactivity Disorder (ADHD)
ClinicalTrials.gov study NCT01081145. IPD Sharing: Not stated. Countries: 10. Publications: 1.
Time Course of Response to Methylphenidate HCl ER Capsules in Children 6 to 12 Years With ADHD in Classroom Setting
ClinicalTrials.gov study NCT01269463. IPD Sharing: YES. Countries: 1. Publications: 1.
Glycemic Effect of Colesevelam HCl (Welchol) in Patients With Type 2 Diabetes
ClinicalTrials.gov study NCT00993824. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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.