cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ft3n1
title: CCDC 2258463: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Richa Rajak, Vikas D. Ghule, Srinivas Dharavath|2023|Dalton Trans.|52|12271|doi:10.1039/D3DT02410E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft3p2
title: CCDC 2258464: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Richa Rajak, Vikas D. Ghule, Srinivas Dharavath|2023|Dalton Trans.|52|12271|doi:10.1039/D3DT02410E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ft3ky
title: CCDC 2258460: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Richa Rajak, Vikas D. Ghule, Srinivas Dharavath|2023|Dalton Trans.|52|12271|doi:10.1039/D3DT02410E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24125763
title: Strain data at DRUV borehole dilatometer from December 2020 to March 2022 at Etna volcano

description: The file contains 1-minute strain data recorded by the DRUV dilatometer station located at Etna from 01 December 2020 to 01 March 2022.
DOI: 10.6084/m9.figshare.24125763.v2
title: straindata.csv

description: The file contains 1-minute strain data recorded by the DRUV dilatometer station located at Etna from 01 December 2020 to 01 March 2022.
DOI: 10.6084/m9.figshare.24084630.v3
title: Comprehensive validation and refinement of cropland maps in southwest China

description: The datasets stored in the repository includes: (1) The supplementary file (in .doc format) of study area and metric performance in different zones of southwestern China, (2) The albers equal conic area projected coordinate system (PCS) applied to China area, (3) ten existing cropland maps in southwestern China with the spatial resolution in 1-m ~ 30-m as well as (4) refined cropland maps (CroplandSyn) based on the harmonizing of consistency. All the raster files are with the albers PCS and the pyramid file in .ovr format is also attached for a quicker loading for softwares.
DOI: 10.5281/zenodo.8341725
title: DocumeNDT Uniaxial Compression Strength (UCS) tests dataset

description: DocumeNDT Uniaxial Compression Strength (UCS) Tests dataset This repository contains the raw data obtained from the Uniaxial Compression Strength (UCS) tests performed on six stone masonry walls at the laboratory of the Eduardo Torroja Institute for Construction Sciences (IETCC), from the Spanish National Research Council (CSIC). The data set is structured in 6 folders corresponding to the 6 tested stone masonry walls (Walls 1-6). Each folder contains:<br> (1) Position of each LVDT during the test (plan view "PositionLVDTs.jpg)<br> (2) Elevations A and B (long sides), marked in plan<br> (3) Recorded force and displacement data (*.csv file)<br> (4) readme file with specific details about the test Raw data (force and displacement) is provided in .csv files, structured in columns. First column corresponds to the Force measured (in kN) and columns 2-5 correspond to the displacement measured by each LVDT (in mm). The frequency of acquisition is 1 samples/s. The detailed geometry of all walls (including the inner position of each stone) is publicly available and can be found in https://doi.org/10.5281/zenodo.7713700 Please cite the following related publication: Ortega J, Meersman MFL, Aparicio S, Liébana JC, Anaya JJ, Gonzalez M. Capabilities of sonic tomography to assess historic masonry deformability properties, in situ stress level and damage evolution (2023)
DOI: 10.5281/zenodo.8341724
title: DocumeNDT Uniaxial Compression Strength (UCS) tests dataset

description: DocumeNDT Uniaxial Compression Strength (UCS) Tests dataset This repository contains the raw data obtained from the Uniaxial Compression Strength (UCS) tests performed on six stone masonry walls at the laboratory of the Eduardo Torroja Institute for Construction Sciences (IETCC), from the Spanish National Research Council (CSIC). The data set is structured in 6 folders corresponding to the 6 tested stone masonry walls (Walls 1-6). Each folder contains:<br> (1) Position of each LVDT during the test (plan view "PositionLVDTs.jpg)<br> (2) Elevations A and B (long sides), marked in plan<br> (3) Recorded force and displacement data (*.csv file)<br> (4) readme file with specific details about the test Raw data (force and displacement) is provided in .csv files, structured in columns. First column corresponds to the Force measured (in kN) and columns 2-5 correspond to the displacement measured by each LVDT (in mm). The frequency of acquisition is 1 samples/s. The detailed geometry of all walls (including the inner position of each stone) is publicly available and can be found in https://doi.org/10.5281/zenodo.7713700 Please cite the following related publication: Ortega J, Meersman MFL, Aparicio S, Liébana JC, Anaya JJ, Gonzalez M. Capabilities of sonic tomography to assess historic masonry deformability properties, in situ stress level and damage evolution (2023)
DOI: 10.18112/openneuro.ds004752.v1.0.0
title: Dataset of intracranial EEG, scalp EEG and beamforming sources from epilepsy patients performing a verbal working memory task
DOI: 10.21227/41yf-bg33
title: Table II UNIFORMITY OF TC-PUF DESIGN (For FPGA board No. 1 to 15)

description: This data set corresponds to Table II:UNIFORMITY OF TC-PUF DESIGN of manuscript titled "A Lightweight and Secure Physical Unclonable Function Design on FPGA".  The provided data is for FPGA board No. 1 to 15. Board no. 1 to 14  represent uniformity of 40X40 TC-PUF response implemented on Artix-7 FPGA, and board no. 15  represent uniformity of 20X40 TC-PUF response implemented on Zynq Z-7010 FPGA. It is observed that nearly all the TC-PUF implemented on individual FPGAs have a slight bias towards ‘0’. Although the value obtained is close to its ideal value, the value of obtained uniformity can be relaxed for our design since the acquired TC-PUF responses are fed to LFSR which overcomes the bias problem while expanding the PUF response.
DOI: 10.6084/m9.figshare.24132918
title: Untitled Item

description: The following data are demographic and examination data for Type 2 DM patients. Laboratory results include BGL, HbA1B, total cholesterol, HDL, and LDL triglycerides. Then the results of the Nitric oxide (NO) and VEGF examinations
DOI: 10.5281/zenodo.8298639
title: Enhanced Mapping of Small Molecule Binding Sites in Cells

description: Selected docking poses for Wozniak et al manuscript. File name include the structure id (PDBID or Alphafold model) and the probe id, separated by an underscore (i.e., 6tjk_4.pdb, or AF-P10620-F1-model_6.pdb).
description: This work was supported by the National Institute of Allergic and Infectious Diseases NIAID/ R01 AI156258 (C.G.P.), the T32 AI007244 (J.M.W.), Bristol-Myers Squibb, and Belharra Therapeutics, and the National Institutes of Health grants R01GM069832 (S.F.).
DOI: 10.5281/zenodo.8017211
title: Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations

description: Code and data to reproduce results in the EGU Ocean Science journal paper, entitled 'Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations'. The data and corresponding scripts in this repository are: MITgcm simulation data for an anticyclone and cyclone under absolute and relative wind stress. ACE_eta_{absolute or relative}_10km_A25_v2_ext.nc ACE_tau_{absolute or relative}_10km_A25_v2_ext.nc ACE_temp_{absolute or relative}_10km_A25_v2_ext.nc CE_eta_{absolute or relative}_10km_A25_v2.nc CE_tau_{absolute or relative}_10km_A25_v2.nc CE_temp_{absolute or relative}_10km_A25_v2.nc Mean energetics computed using eddy_energy_mean.m. User may need to comment out lines of code relating to wvel. This also requires geostrophic_uv.m, rho_ref.mat, and ocean_vertical_grid.nc. {ACE or CE}_energy_{absolute or relative}_total_10km_A25_mean.nc Predicted eddy energy computed using predict_*.m scripts. n.b. viscous term left in absolute scripts, though we only need the first index of total eddy energy in abs cases. The abs cases are really just making the abs.mat files, see time_series_plots.py. Time-series figures (3 and 5) produced using time_series_plots.py. Initial figures (1 and 2) produced using initial_plots.py. Relative vorticity in Fig. 4 computed and plotted using eddy_evolution_plot.py. Dissipation rates computed in calc_dissipation_rate.m. Requires dynmodes.m and GSW toolbox to run. Also needs data Chelton2011_Le.csv and Chelton2011_Rd.csv. diss_rate*.nc Dissipation rate and climatology figures (6, 7, 8, and 9) made in diss_rate_plot.py Information and data needed to run the MITgcm can be found here.
description: If there are any issues/errors with this data then please contact the lead author, T. Wilder. The code and data in this version relates to the revised manuscript following reviewer comments.
DOI: 10.5281/zenodo.8017212
title: Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations

description: Code and data to reproduce results in the EGU Ocean Science journal paper, entitled 'Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations'. The data and corresponding scripts in this repository are: MITgcm simulation data for an anticyclone and cyclone under absolute and relative wind stress. ACE_eta_{absolute or relative}_10km_A25_v2_ext.nc ACE_tau_{absolute or relative}_10km_A25_v2_ext.nc ACE_temp_{absolute or relative}_10km_A25_v2_ext.nc CE_eta_{absolute or relative}_10km_A25_v2.nc CE_tau_{absolute or relative}_10km_A25_v2.nc CE_temp_{absolute or relative}_10km_A25_v2.nc Mean energetics computed using eddy_energy_mean.m. User may need to comment out lines of code relating to wvel. This also requires geostrophic_uv.m, rho_ref.mat, and ocean_vertical_grid.nc. {ACE or CE}_energy_{absolute or relative}_total_10km_A25_mean.nc Predicted eddy energy computed using predict_*.m scripts. Time-series figures (3 and 5) produced using time_series_plots.m. Initial figures (1 and 2) produced using initial_plots.py. Relative vorticity in Fig. 4 computed and plotted using eddy_evolution_plot.py. Dissipation rates computed in calc_dissipation_rate.m. Requires dynmodes.m and GSW toolbox to run. Also needs data Chelton2011_Le.csv and Chelton2011_Rd.csv. diss_rate*.nc Dissipation rate and climatology figures (6, 7, 8, and 9) made in diss_rate_plot.py Information and data needed to run the MITgcm can be found here.
description: If there are any issues/errors with this data then please contact the lead author, T. Wilder.
DOI: 10.5281/zenodo.8341660
title: Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations

description: Code and data to reproduce results in the EGU Ocean Science journal paper, entitled 'Constraining an eddy energy dissipation rate due to relative wind stress for use in energy budget-based eddy parameterisations'. The data and corresponding scripts in this repository are: MITgcm simulation data for an anticyclone and cyclone under absolute and relative wind stress. ACE_eta_{absolute or relative}_10km_A25_v2_ext.nc ACE_tau_{absolute or relative}_10km_A25_v2_ext.nc ACE_temp_{absolute or relative}_10km_A25_v2_ext.nc CE_eta_{absolute or relative}_10km_A25_v2.nc CE_tau_{absolute or relative}_10km_A25_v2.nc CE_temp_{absolute or relative}_10km_A25_v2.nc Mean energetics computed using eddy_energy_mean.m. User may need to comment out lines of code relating to wvel. This also requires geostrophic_uv.m, rho_ref.mat, and ocean_vertical_grid.nc. {ACE or CE}_energy_{absolute or relative}_total_10km_A25_mean.nc Predicted eddy energy computed using predict_*.m scripts. n.b. viscous term left in absolute scripts, though we only need the first index of total eddy energy in abs cases. The abs cases are really just making the abs.mat files, see time_series_plots.py. Time-series figures (3 and 5) produced using time_series_plots.py. Initial figures (1 and 2) produced using initial_plots.py. Relative vorticity in Fig. 4 computed and plotted using eddy_evolution_plot.py. Dissipation rates computed in calc_dissipation_rate.m. Requires dynmodes.m and GSW toolbox to run. Also needs data Chelton2011_Le.csv and Chelton2011_Rd.csv. diss_rate*.nc Dissipation rate and climatology figures (6, 7, 8, and 9) made in diss_rate_plot.py Information and data needed to run the MITgcm can be found here.
description: If there are any issues/errors with this data then please contact the lead author, T. Wilder. The code and data in this version relates to the revised manuscript following reviewer comments.
DOI: 10.5281/zenodo.8326534
title: Enhanced Mapping of Small Molecule Binding Sites in Cells

description: Selected docking poses for Wozniak et al manuscript. File name include the structure id (PDBID or Alphafold model) and the probe id, separated by an underscore (i.e., 6tjk_4.pdb, or AF-P10620-F1-model_6.pdb).
description: This work was supported by the National Institute of Allergic and Infectious Diseases NIAID/ R01 AI156258 (C.G.P.), 1U19AII71443-01 (C.G.P. and S.F.) and T32 AI007244 (J.M.W.) as well as National Institutes of Health grant R01GM069832 (S.F.).
DOI: 10.5281/zenodo.8298638
title: Enhanced Mapping of Small Molecule Binding Sites in Cells

description: Selected docking poses for Wozniak et al manuscript. File name include the structure id (PDBID or Alphafold model) and the probe id, separated by an underscore (i.e., 6tjk_4.pdb, or AF-P10620-F1-model_6.pdb).
description: This work was supported by the National Institute of Allergic and Infectious Diseases NIAID/ R01 AI156258 (C.G.P.), 1U19AII71443-01 (C.G.P. and S.F.) and T32 AI007244 (J.M.W.) as well as National Institutes of Health grant R01GM069832 (S.F.).
DOI: 10.5281/zenodo.8341172
title: IGBMC ICube I3 : Image and annotations

description: FIB-SEM cellular (HeLa cells) image with 4 classes segmentation : Mitochondrion (slice 0 to 500) Endoplasmic reticulum (slice 172 to 251) Nucleus (slice 1 to 250) Cell membrane (slice 1 to 250) Collection date : 18/01/2017<br> Instrument : Auriga 60-46-16<br> Fixation : Chemical fixation at room temperature.<br> Embedding : Lowicryl<br> Coloration : Osmium / Uranyl Acetate<br> <br> Number of slices : 500<br> Pixel spacing x/y (nm) : 5 Image acquisition : Spehner Danièle<br> Manual segmentation : Mallouh Véronique
DOI: 10.5281/zenodo.8341171
title: IGBMC ICube I3 : Image and annotations

description: FIB-SEM cellular (HeLa cells) image with 4 classes segmentation : Mitochondrion (slice 0 to 500) Endoplasmic reticulum (slice 172 to 251) Nucleus (slice 1 to 250) Cell membrane (slice 1 to 250) Collection date : 18/01/2017<br> Instrument : Auriga 60-46-16<br> Fixation : Chemical fixation at room temperature.<br> Embedding : Lowicryl<br> Coloration : Osmium / Uranyl Acetate<br> <br> Number of slices : 500<br> Pixel spacing x/y (nm) : 5 Image acquisition : Spehner Danièle<br> Manual segmentation : Mallouh Véronique
DOI: 10.18739/a2cr5nd9n
title: Discrete water samples collected from the Conductivity-Temperature-Depth rosette at specific depths, CCGS Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2019

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory(DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological "hotspot" locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon.
DOI: 10.5281/zenodo.8341129
title: Data for 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'

description: The original data for the manuscript 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'.
DOI: 10.5281/zenodo.8341128
title: Data for 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'

description: The original data for the manuscript 'Nano-scale corrosion mechanism of T91 steel in static lead-bismuth eutectic: A combined APT, EBSD, and STEM investigation'.
DOI: 10.5281/zenodo.8341831
title: Dataset of paper "Solar photoelectrocatalytic oxidation of urea in water coupled to green hydrogen production"

description: Dataset of paper "Solar photoelectrocatalytic oxidation of urea in water coupled to green hydrogen production" Material characterization for TiO<sub>2</sub> and WO<sub>3</sub> electrodes. Photoelectrochemical characterization for TiO<sub>2</sub> and WO<sub>3</sub>. One compartment cell characterization. Urea oxidation experiments for TiO<sub>2</sub> and WO<sub>3</sub> electrodes. Urea oxidation and products using one compartment cell. Production of NO<sub>2</sub><sup>-</sup> during urea oxidation. Evolution of NO<sub>3</sub><sup>−</sup> oxidation in time and conversion to NH<sub>4</sub><sup>+</sup>. Two compartment cell characterization. Urea oxidation and products using two-compartment cell.
DOI: 10.5281/zenodo.8341830
title: Dataset of paper "Solar photoelectrocatalytic oxidation of urea in water coupled to green hydrogen production"

description: Dataset of paper "Solar photoelectrocatalytic oxidation of urea in water coupled to green hydrogen production" Material characterization for TiO<sub>2</sub> and WO<sub>3</sub> electrodes. Photoelectrochemical characterization for TiO<sub>2</sub> and WO<sub>3</sub>. One compartment cell characterization. Urea oxidation experiments for TiO<sub>2</sub> and WO<sub>3</sub> electrodes. Urea oxidation and products using one compartment cell. Production of NO<sub>2</sub><sup>-</sup> during urea oxidation. Evolution of NO<sub>3</sub><sup>−</sup> oxidation in time and conversion to NH<sub>4</sub><sup>+</sup>. Two compartment cell characterization. Urea oxidation and products using two-compartment cell.
DOI: 10.5281/zenodo.8341849
title: torymus_tubicola_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8341848
title: torymus_tubicola_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8341797
title: Molecular Simulation of Stapled Peptides: Supporting Material

description: A compressed (tar-gzip) archive containing input and analysis scripts, along with partial analysis data, for Chapter 14 of Computational Peptide Science: Methods and Protocols (Thomas Simonson, ed.) entitled "Molecular Simulation of Stapled Peptides" by Victor Ovchinnikov, Aravinda Munasinghe, and Martin Karplus; Methods in Molecular Biology, vol. 2405, https://doi.org/10.1007/978-1-0716-1855-4_14, 2022, Springer.
description: Protocol citation: Ovchinnikov, V., Munasinghe, A., Karplus, M. (2022). Molecular Simulation of Stapled Peptides. In: Simonson, T. (eds) Computational Peptide Science. Methods in Molecular Biology, vol 2405. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1855-4_14
DOI: 10.5281/zenodo.8341796
title: Molecular Simulation of Stapled Peptides: Supporting Material

description: A compressed (tar-gzip) archive containing input and analysis scripts, along with partial analysis data, for Chapter 14 of Computational Peptide Science: Methods and Protocols (Thomas Simonson, ed.) entitled "Molecular Simulation of Stapled Peptides" by Victor Ovchinnikov, Aravinda Munasinghe, and Martin Karplus; Methods in Molecular Biology, vol. 2405, https://doi.org/10.1007/978-1-0716-1855-4_14, 2022, Springer.
description: Protocol citation: Ovchinnikov, V., Munasinghe, A., Karplus, M. (2022). Molecular Simulation of Stapled Peptides. In: Simonson, T. (eds) Computational Peptide Science. Methods in Molecular Biology, vol 2405. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1855-4_14
DOI: 10.5281/zenodo.8341855
title: Micro-Optimisation of Containerised Microservices

description: Just-for-me configuration for optimising read-only database containers.
DOI: 10.5281/zenodo.8341856
title: Micro-Optimisation of Containerised Microservices

description: Just-for-me configuration for optimising read-only database containers.
DOI: 10.25345/c5c824r1f
title: MassIVE MSV000092852 - GNPS - Dataset Creation from GNPS Molcular Networking - 42d7209331694688b8748767aec5e35f
title: Bioguided isolation of compounds with antispasmodic activity from a Witheringia solanacea methanolic extract.
DOI: 10.5281/zenodo.8341888
title: andricus_quercuspetiolicola_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8341889
title: andricus_quercuspetiolicola_spades_01.fasta.gz

description: .