cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24j4nh
title: CCDC 1981726: Experimental Crystal Structure Determination

description: Related Article: Jie Luo, Michael Rauch, Liat Avram, Yael Diskin-Posner, Guy Shmul, Yehoshoa Ben-David, David Milstein|2020|Nat. Catal.|3|887|doi:10.1038/s41929-020-00514-9
DOI: 10.17632/38h7ncvyxh.1
title: Data for: Field-based Measurements of Volcanic Ash Resuspension by Wind
DOI: 10.21227/frww-zn95
title: Biomedical KEH B

description: z
DOI: 10.5281/zenodo.4292303
title: Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al.

description: Radiance data for "Systematic Comparison of Vectorial Spherical Radiative Transfer Models in Limb Scattering Geometry" by Zawada et al. which is to be submitted to Atmospheric Measurement Techniques. A comprehensive inter-comparison of seven radiative transfer models in the limb scattering geometry has been<br> performed. Every model is capable of accounting for polarisation within a fully spherical atmosphere. Three models (GSLS, SASKTRAN-HR, and SCIATRAN) are deterministic, and four models (MYSTIC, SASKTRAN-MC, Siro, and SMART-G)<br> are statistical using the Monte Carlo technique. This dataset consists of the raw radiance data used to perform the intercomparisons, atmospheric input data for the optical properties of the atmosphere, and data specifying the geometry of the test cases. Data is provided in NetCDF4 format with documentation present inside the variable attributes. More detail on the comparison scenarios can be found within the published article. (Link to be added when available).
DOI: 10.21227/f76y-q981
title: Comparison of Sensored

description: z
DOI: 10.21227/aapv-x119
title: Comparison of Sensorless FOC BLDC control -- SMO vs flux observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.6084/m9.figshare.12130980.v56
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.5281/zenodo.3678384
title: Exploring archaeal and bacterial diversity and co-occurrence in Lake Geneva

description: Fastq files, OTU tables, tags list.
DOI: 10.21227/axq2-5b41
title: Comparison of Sensored

description: z
DOI: 10.6084/m9.figshare.13296200.v1
title: Ca. T. endolucinida core gene nucleotide alignment to infer recombination to mutation ratio

description: To infer recombination events in bacterial genomes, we used the maximum likelihood implementation of ClonalFrame, ClonalFrameML. MAGs (only high quality) were aligned with progressiveMauve, which is part of the Mauve genome alignment package version 2.0. Core genes; i.e., nucleotide sequences that were shared among all MAGs within a group, were extracted with a custom script, stripSubsetLCBs, which can be downloaded here. These core genes were then re-aligned with MUSCLE and cleaned with trimAl with the following parameters: -resoverlap 0.75 -seqoverlap 80.
DOI: 10.6084/m9.figshare.13296200
title: Ca. T. endolucinida core gene nucleotide alignment to infer recombination to mutation ratio

description: To infer recombination events in bacterial genomes, we used the maximum likelihood implementation of ClonalFrame, ClonalFrameML. MAGs (only high quality) were aligned with progressiveMauve, which is part of the Mauve genome alignment package version 2.0. Core genes; i.e., nucleotide sequences that were shared among all MAGs within a group, were extracted with a custom script, stripSubsetLCBs, which can be downloaded here. These core genes were then re-aligned with MUSCLE and cleaned with trimAl with the following parameters: -resoverlap 0.75 -seqoverlap 80.
DOI: 10.21227/0kd3-ze58
title: Comparison of Sensored

description: z
DOI: 10.21227/79xs-4s42
title: Comparison of Sensorless FOC BLDC control -- SMO vs flux observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.6084/m9.figshare.13296350
title: Raw dataset corresponding to Masneuf et al manuscript

description: Raw dataset for Masneuf et al manuscript
DOI: 10.6084/m9.figshare.13296350.v1
title: Raw dataset corresponding to Masneuf et al manuscript

description: Raw dataset for Masneuf et al manuscript
DOI: 10.21227/z650-ef27
title: Sensorless FOC BLDC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.5281/zenodo.4290392
title: Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow -- data release

description: This repository contains the lattice two-point function measurements required to reproduce the results of the paper "Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow" (https://arxiv.org/abs/2009.14767). The code required to perform the data analysis can be found in https://github.com/josephleekl/scalar_emt_analysis. For any questions please get in touch: joseph.lee@ed.ac.uk
description: LDD is supported by Royal Society Wolfson Research Merit Award, WM140078. A.J. and K.S. further acknowledge funding from STFC consolidated grant ST/T000775/1.This work was performed using the Cambridge Service for Data Driven Discovery (CSD3), part of which is operated by the University of Cambridge Research Computing on behalf of the STFC DiRAC HPC Facility(www.dirac.ac.uk).
DOI: 10.5281/zenodo.4271886
title: Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow -- data release

description: This repository contains the lattice two-point function measurements required to reproduce the results of the paper "Renormalisation of the energy-momentum tensor in three-dimensional scalar SU(N) theories using the Wilson flow" (https://arxiv.org/abs/2009.14767). The code required to perform the data analysis can be found in https://github.com/josephleekl/scalar_emt_analysis. For any questions please get in touch: joseph.lee@ed.ac.uk
description: LDD is supported by Royal Society Wolfson Research Merit Award, WM140078. A.J. and K.S. further acknowledge funding from STFC consolidated grant ST/T000775/1.This work was performed using the Cambridge Service for Data Driven Discovery (CSD3), part of which is operated by the University of Cambridge Research Computing on behalf of the STFC DiRAC HPC Facility(www.dirac.ac.uk).
DOI: 10.21227/5pnf-rn46
title: Sensorless

description: This dataset is in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63).
DOI: 10.21227/q8zp-xw87
title: Affect of Performance on FOC

description: z
DOI: 10.5066/p98kjc3k
title: Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed

description: The U.S. Geological Survey Toxic Substances Hydrology Program at Cape Cod has been investigating the fate and transport of a treated-wastewater, groundwater contaminant plume. A portion of the contaminated groundwater discharges into Ashumet Pond, a kettle hole, freshwater lake. A study was conducted from June 2013 to June 2015 to document transport, transformation, and discharge of dissolved inorganic nitrogen species (DIN; nitrate, nitrite, and nitrous oxide) from the contaminant plume to the lake, across the groundwater-surface water interface. Groundwater, lakewater, lake sediment porewater, and sediment cores were collected and analyzed for DIN constituents as well as functional gene abundance for key N-cycle processes, and potential activity assays for denitrification, anammox, nitrate uptake, and nitrification. Changes in nitrate and oxygen concentrations at spatial locations were monitored with time and correlated with changes in lake stage.
DOI: 10.21227/hp65-fx22
title: Affect of Performance on FOC

description: z
DOI: 10.5281/zenodo.4293875
title: Polytope files

description: Polytope files in the cddlib and lrslib format
DOI: 10.5281/zenodo.4293874
title: Polytope files

description: Polytope files in the cddlib and lrslib format
DOI: 10.6084/m9.figshare.13296449
title: collection LC3.xlsx

description: LC3 and P62 puncta quantification from 3D and 2D images
DOI: 10.6084/m9.figshare.13296449.v1
title: collection LC3.xlsx

description: LC3 and P62 puncta quantification from 3D and 2D images
DOI: 10.21227/y782-5g23
title: Affect of Performance on FOC

description: z
DOI: 10.34740/kaggle/dsv/1689698
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21227/7wj9-hn74
title: Affect of Performance on FOC

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset,PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/twgv-q240
title: Sensorless FOC 1.8kW BLDC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.5281/zenodo.4293887
title: DART-TOFMS of heartwood and xylem anatomy of Afzelia bipindensis and Afzelia pachyloba

description: Anatomical and spectral data of heartwood of <em>Afzelia bipindensis</em> and <em>A. pachyloba. </em>The spectra was measured by direct analysis in real-time (DART) time-of-flight mass spectrometry (TOFMS) of 50 trees of <em>Afzelia bipindensis</em> and 39 of <em>A. pachyloba</em>. Specimens from the xylarium collection of the U.S. Fish and Wildlife Service in Ashland, Oregon, USA. Mass spectra of the emitted wood compounds were acquired in positive ion mode over the mass range of m/z 60 to 1100. Poly(ethylene glycol) 600 (Ultra Scientific, Kingstown, Rhode Island, USA) was used as a mass calibration standard after every fifth sample. The DART source parameters settings were the same as described by Espinoza et al. IAWA J 36: 311–325 (2015) and Evans et al. IAWA J 38: 266-281 (2017). Xylem vessel tangential lumen diameter (µm) measured in transverse sections of wood of five trees of <em>Afzelia bipindensis</em> and five of <em>A. pachyloba</em>. Specimens from the xylarium of the Royal Museum for Central Africa in Belgium. Xylem ray height and width (µm) measured in tangential sections of wood of five trees of <em>Afzelia bipindensis</em> and five of <em>A. pachyloba</em>. Specimens from the xylarium of the Royal Museum for Central Africa in Belgium.
DOI: 10.5281/zenodo.4287724
title: DART-TOFMS of heartwood and xylem anatomy of Afzelia bipindensis and Afzelia pachyloba

description: Anatomical and spectral data of heartwood of <em>Afzelia bipindensis</em> and <em>A. pachyloba. </em>The spectra was measured by direct analysis in real-time (DART) time-of-flight mass spectrometry (TOFMS) of 50 trees of <em>Afzelia bipindensis</em> and 39 of <em>A. pachyloba</em>. Specimens from the xylarium collection of the U.S. Fish and Wildlife Service in Ashland, Oregon, USA. Mass spectra of the emitted wood compounds were acquired in positive ion mode over the mass range of m/z 60 to 1100. Poly(ethylene glycol) 600 (Ultra Scientific, Kingstown, Rhode Island, USA) was used as a mass calibration standard after every fifth sample. The DART source parameters settings were the same as described by Espinoza et al. IAWA J 36: 311–325 (2015) and Evans et al. IAWA J 38: 266-281 (2017). Xylem vessel tangential lumen diameter (µm) measured in transverse sections of wood of five trees of <em>Afzelia bipindensis</em> and five of <em>A. pachyloba</em>. Specimens from the xylarium of the Royal Museum for Central Africa in Belgium. Xylem ray height and width (µm) measured in tangential sections of wood of five trees of <em>Afzelia bipindensis</em> and five of <em>A. pachyloba</em>. Specimens from the xylarium of the Royal Museum for Central Africa in Belgium.
DOI: 10.6084/m9.figshare.11688936.v1
title: Supplementary Data 1 for Kevrekidis et al., 2020, fossil cichlids

description: Tables S1–4<br>
DOI: 10.5517/ccdc.csd.cc256s8g
title: CCDC 2002515: Experimental Crystal Structure Determination

description: Related Article: Nadia Baartzes, Audrey Jordaan, Digby F. Warner, Jill Combrinck, Dale Taylor, Kelly Chibale, Gregory S. Smith|2020|Eur.J.Med.Chem.|206|112694|doi:10.1016/j.ejmech.2020.112694
DOI: 10.5517/ccdc.csd.cc25s7px
title: CCDC 2019299: Experimental Crystal Structure Determination

description: Related Article: Marietjie Schutte-Smith, Sierra C. Marker, Justin J. Wilson, Hendrik G. Visser|2020|Inorg.Chem.|59|15888|doi:10.1021/acs.inorgchem.0c02389
DOI: 10.5517/ccdc.csd.cc25s7qy
title: CCDC 2019300: Experimental Crystal Structure Determination

description: Related Article: Marietjie Schutte-Smith, Sierra C. Marker, Justin J. Wilson, Hendrik G. Visser|2020|Inorg.Chem.|59|15888|doi:10.1021/acs.inorgchem.0c02389
DOI: 10.5517/ccdc.csd.cc25tpk8
title: CCDC 2020690: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpl9
title: CCDC 2020691: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpmb
title: CCDC 2020692: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpnc
title: CCDC 2020693: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tppd
title: CCDC 2020694: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpqf
title: CCDC 2020695: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tprg
title: CCDC 2020696: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tptj
title: CCDC 2020698: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpvk
title: CCDC 2020699: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpwl
title: CCDC 2020700: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc25tpxm
title: CCDC 2020701: Experimental Crystal Structure Determination

description: Related Article: Qiuming Liang, Kasumi Hayashi, Datong Song|2020|Organometallics|39|4115|doi:10.1021/acs.organomet.0c00653
DOI: 10.5517/ccdc.csd.cc21v59d
title: CCDC 1901983: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Jun Cao, Jing Sun, Ru-Zhang Liu, Chao-Guo Yan|2020|Org.Lett.|22|8931|doi:10.1021/acs.orglett.0c03331
DOI: 10.48370/ofd/phmi93/cshr80
title: 1048-0002.jpg

description: :unav
DOI: 10.5517/ccdc.csd.cc26cfz0
title: CCDC 2036792: Experimental Crystal Structure Determination

description: Related Article: Dan Liu, Jun Cao, Jing Sun, Ru-Zhang Liu, Chao-Guo Yan|2020|Org.Lett.|22|8931|doi:10.1021/acs.orglett.0c03331
DOI: 10.15156/bio/sh1926328.08fu
title: SH1926328.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1926329.08fu
title: SH1926329.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2881608.08fu
title: SH2881608.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.