cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5444886
title: Artifacts for Fuzzing SMT Solvers with Diversified Sub-formulas

description: <strong>Fuzzing SMT solvers with Diversified Sub-formulas</strong> Table of Contents Background Install Usage Bugs <strong>Background</strong> <strong>Octopus </strong>is the tool for detecting soundness bugs in SMT solvers. <br> We have submitted 10 valid bug reports for Z3 so far. 7 bugs are confirmed/fixed by developers among these reports. <strong>Install</strong> Octopus itself has few dependencies. It uses Python3 and Python-virtualenv. You can install Python-virtualenv using <code>pip install virtualenv</code> Then install Octopus. <code>virtualenv --python=/usr/bin/python3.6 virenv</code> <code>source virenv/bin/activate</code> <code>cd octopus</code> <code>python3 setup.py install</code> <strong>Usage</strong> You can download SMT instances in SMT COMP 2021 as benchmarks. 2021-05-26 - StarExec Then install and build the SMT solver you want to test. For example: <code>git clone https://github.com/Z3Prover/z3.git</code> <code>python scripts/mk_make.py </code> <code>cd build; make</code> Then Octopus can be used to validate it, for example: <code>octopus --benchmark=/home/SMT2021 --solver=z3 --solverbin=../z3/build/z3 --theory=LIA</code> To run Octopus in multiple cores: <code>octopus --benchmark=/home/SMT2021 --solver=z3 --solverbin=../z3/build/z3 --theory=LIA --cores=20</code> <strong>Bugs</strong> Octopus has detected many new refutational soundness bugs in Z3. Here is a list of issues we reported. https://github.com/Z3Prover/z3/issues/5373 [confirmed]<br> https://github.com/Z3Prover/z3/issues/5443 [reported]<br> https://github.com/Z3Prover/z3/issues/5447 [fixed]<br> https://github.com/Z3Prover/z3/issues/5456 [fixed]<br> https://github.com/Z3Prover/z3/issues/5457 [fixed] <br> https://github.com/Z3Prover/z3/issues/5460 [fixed]<br> https://github.com/Z3Prover/z3/issues/5468 [fixed] <br> https://github.com/Z3Prover/z3/issues/5488 [fixed]<br> https://github.com/Z3Prover/z3/issues/5502 [duplicate]<br> https://github.com/Z3Prover/z3/issues/5508 [reported]<br> https://github.com/Z3Prover/z3/issues/5423 [invalid]
DOI: 10.6084/m9.figshare.7588775
title: Development of an Online Home Appliance Control System Using Augmented Reality and SSVEP-Based Brain-Computer Interface

description: In this study, we implemented a new home appliance control system by combining electroencephalography (EEG)-based brain-computer interface (BCI), augmented reality (AR), and internet of things (IoT) technologies. We adopted a steady-state visual evoked potential (SSVEP)-based BCI paradigm for the implementation of a fast and robust BCI system. In the offline experiment, we compared the performances of three BCIs adopting different types of visual stimuli in an AR environment to determine the optimal visual stimulus. In the online experiment, we evaluated the feasibility of the proposed smart home system using the optimal stimulus by controlling three home appliances in real time. The visual stimuli were presented on a see-through head-mounted display (HMD), while the recorded brain activity was analyzed to classify the control command, and the home appliances were controlled through IoT. In the offline experiment, a grow/shrink stimulus (GSS) consisting of a star-shaped flickering object of varying size was selected as the optimal stimulus, eliciting SSVEP responses more effectively than the other options. In the online experiment, all users could turn the BCI-based control system on/off whenever they wanted using the eye-blinking-based electrooculogram (EOG) switch, and could successfully perform all the designated control tasks without difficulty. The average classification accuracy of the SSVEP-BCI-based control system was 92.8%, with an information transfer rate (ITR) of 37.4 bits/min. The proposed system exhibited an excellent performance, surpassing the best results reported in previous studies regarding external device control based on BCI using an HMD as rendering device.
DOI: 10.6084/m9.figshare.7588775.v1
title: Development of an Online Home Appliance Control System Using Augmented Reality and SSVEP-Based Brain-Computer Interface

description: In this study, we implemented a new home appliance control system by combining electroencephalography (EEG)-based brain-computer interface (BCI), augmented reality (AR), and internet of things (IoT) technologies. We adopted a steady-state visual evoked potential (SSVEP)-based BCI paradigm for the implementation of a fast and robust BCI system. In the offline experiment, we compared the performances of three BCIs adopting different types of visual stimuli in an AR environment to determine the optimal visual stimulus. In the online experiment, we evaluated the feasibility of the proposed smart home system using the optimal stimulus by controlling three home appliances in real time. The visual stimuli were presented on a see-through head-mounted display (HMD), while the recorded brain activity was analyzed to classify the control command, and the home appliances were controlled through IoT. In the offline experiment, a grow/shrink stimulus (GSS) consisting of a star-shaped flickering object of varying size was selected as the optimal stimulus, eliciting SSVEP responses more effectively than the other options. In the online experiment, all users could turn the BCI-based control system on/off whenever they wanted using the eye-blinking-based electrooculogram (EOG) switch, and could successfully perform all the designated control tasks without difficulty. The average classification accuracy of the SSVEP-BCI-based control system was 92.8%, with an information transfer rate (ITR) of 37.4 bits/min. The proposed system exhibited an excellent performance, surpassing the best results reported in previous studies regarding external device control based on BCI using an HMD as rendering device.
DOI: 10.5281/zenodo.5443615
title: Artifacts for Fuzzing SMT Solvers with Diversified Sub-formulas

description: ## Installation:<br> ```<br> virtualenv --python=/usr/bin/python3 virenv<br> source virenv/bin/activate<br> cd octopus<br> python3 setup.py install<br> ``` ## Usage: ```<br> octopus --benchmark=[PATH TO SEED DIRECTORY] --solverbin=[PATH TO SOLVER BIN] --solver=[SOLVER NAME] --theory=[SOLVER THEORY]<br> ``` For example: ```<br> octopus --benchmark=/home/SMT2021 --solverbin=../z3/build/z3 --solver=z3 --theory=LIA<br> ``` To run `n` parallel instances of octopus on `n` cores, use the `--cores` flag. For example: ```<br> octopus --benchmark=[PATH TO SEED FILES] --solverbin=[PATH TO SOLVER BIN] --solver=[SOLVER NAME] --theory=LIA --cores=10<br> ``` <br> ## Refutational soundness bugs detected so far:<br> octopus has detected many new "refutational soundness" bugs in Z3. <br> Here is a list of issues we reported. https://github.com/Z3Prover/z3/issues/5373 `[z3]` `[QF_NRA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5443 `[z3]` `[QF_BVFP]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5447 `[z3]` `[QF_ABV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5456 `[z3]` `[QF_IDL]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5457 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5460 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5468 `[z3]` `[AUFLIRA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5488 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5502 `[z3]` `[QF_NIA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5508 `[z3]` `[QF_NIA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5423 `[z3]` `[QF_BVFP]` `Won't fixed` &lt;br&gt;<br>
DOI: 10.5281/zenodo.5443614
title: Artifacts for Fuzzing SMT Solvers with Diversified Sub-formulas

description: ## Installation:<br> ```<br> virtualenv --python=/usr/bin/python3 virenv<br> source virenv/bin/activate<br> cd octopus<br> python3 setup.py install<br> ``` ## Usage: ```<br> octopus --benchmark=[PATH TO SEED DIRECTORY] --solverbin=[PATH TO SOLVER BIN] --solver=[SOLVER NAME] --theory=[SOLVER THEORY]<br> ``` For example: ```<br> octopus --benchmark=/home/SMT2021 --solverbin=../z3/build/z3 --solver=z3 --theory=LIA<br> ``` To run `n` parallel instances of octopus on `n` cores, use the `--cores` flag. For example: ```<br> octopus --benchmark=[PATH TO SEED FILES] --solverbin=[PATH TO SOLVER BIN] --solver=[SOLVER NAME] --theory=LIA --cores=10<br> ``` <br> ## Refutational soundness bugs detected so far:<br> octopus has detected many new "refutational soundness" bugs in Z3. <br> Here is a list of issues we reported. https://github.com/Z3Prover/z3/issues/5373 `[z3]` `[QF_NRA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5443 `[z3]` `[QF_BVFP]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5447 `[z3]` `[QF_ABV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5456 `[z3]` `[QF_IDL]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5457 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5460 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5468 `[z3]` `[AUFLIRA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5488 `[z3]` `[QF_BV]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5502 `[z3]` `[QF_NIA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5508 `[z3]` `[QF_NIA]` &lt;br&gt;<br> https://github.com/Z3Prover/z3/issues/5423 `[z3]` `[QF_BVFP]` `Won't fixed` &lt;br&gt;<br>
DOI: 10.5281/zenodo.5463768
title: DEFRA Centre of Excellence for DNA Methods: Initiation of UKBOL and filling priority gaps: Appendices

description: Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Initiation of UKBOL and filling priority gaps. Appendix 1: UKBOL Terms of Reference Appendix 2: UKBOL specimen list from ANBIO project. Appendix 3: UKBOL specimen list from FBUK project. Appendix 4: UKBOL specimen list from UKAN project.
DOI: 10.5281/zenodo.5463767
title: DEFRA Centre of Excellence for DNA Methods: Initiation of UKBOL and filling priority gaps: Appendices

description: Supplementary data for the DEFRA Centre of Excellence for DNA Methods report: Initiation of UKBOL and filling priority gaps. Appendix 1: UKBOL Terms of Reference Appendix 2: UKBOL specimen list from ANBIO project. Appendix 3: UKBOL specimen list from FBUK project. Appendix 4: UKBOL specimen list from UKAN project.
DOI: 10.5519/qd.ji9cb9mz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (128 records)
DOI: 10.14457/mu.the.1998.272
title: การศึกษาการนำระบบการตรวจสอบสิ่งแวดล้อมมาใช้ในประเทศไทย
DOI: 10.14457/cu.the.2019.92
title: การออกแบบเรขศิลป์เพื่อสร้างแบรนด์สินค้าเปรียบเทียบซื้อสำหรับผู้บริโภคแมสทีจ

description: ผู้บริโภคกลุ่มแมสทีจ (Masstige Consumer) คือ กลุ่มผู้บริโภคที่อยู่กึ่งกลางระหว่างกลุ่มคนที่ต้องการสินค้าหรูหรา (Prestige) และสินค้าทั่วไป (Mass) กล่าวได้ว่า ผู้บริโภคกลุ่มแมสทีจ เป็นผู้บริโภคที่มีรสนิยมสูง แต่รายได้ไม่สูงเท่ากลุ่มผู้บริโภคชนชั้นสูง และยอมจ่ายเงินเพื่อซื้อสินค้าดูดีมีระดับเพื่อแลกกับการได้ประสบการณ์ในการได้ใช้สินค้าหรู เป็นการตอบสนองความพึงพอใจด้านจิตใจ แม้จะเป็นหนี้จากการซื้อสินค้าหรือใช้บัตรเครดิต ซึ่งถือว่าคนกลุ่มนี้มีความสำคัญในการขับเคลื่อนเศรษฐกิจ และมีมูลค่าทางการตลาดที่นักการตลาดกำลังจับตามอง การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อ 1) ศึกษาและหาแนวทางในการสร้างแบรนด์สินค้าเปรียบเทียบซื้อสำหรับผู้บริโภคแมสทีจ 2) หาแนวทางการออกแบบเรขศิลป์เพื่อสร้างแบรนด์สินค้าเปรียบเทียบซื้อสำหรับผู้บริโภคแมสทีจ 3) ประยุกต์ใช้ผลการวิจัยสู่การออกแบบเรขศิลป์เพื่อสร้างแบรนด์สำหรับสินค้าไทยที่มีกลุ่มเป้าหมายเป็นผู้บริโภคแมสทีจ การดำเนินการวิจัยใช้วิธีแบบผสมผสาน (Mixed Methodology) โดยนำด้วยการวิจัยเชิงคุณภาพ (Qualitative Research) ด้วยการเก็บข้อมูลจากผู้เชี่ยวชาญด้านการตลาดและแบรนด์ 15 คน ด้านการออกแบบเรขศิลป์ 15 คน ตามด้วยการวิจัยเชิงปริมาณ (Quantitative Research) ด้วยการเก็บข้อมูลจากกลุ่มตัวอย่างเป็นผู้บริโภคที่เข้าข่ายผู้บริโภคแมสทีจ จำนวน 405 คน วิเคราะห์ข้อมูลโดยใช้สถิติเบื้องต้น คิดเป็นร้อยละ (Percentage) แล้วทำการสรุปผลออกมาเป็นลำดับ ผลการวิเคราะห์ข้อมูลตามวัตถุประสงค์งานวิจัยพบว่า แนวทางในการสร้างแบรนด์สำหรับผู้บริโภคแมสทีจสามารถทำได้ 3 แนวทาง ดังนี้ แนวทางที่ 1) แบรนด์ที่มีลักษณะเฉพาะตน มีความเป็นตัวของตัวเองสูง นำเสนอความรู้สึกถึงความมีคุณสมบัติอันยอดเยี่ยม แนวทางที่ 2) แบรนด์ที่แสดงความมีสถานะ มีหน้ามีตาในสังคม ได้รับการยอมรับ มีสิทธิพิเศษที่เหนือกว่าคนทั่วไป และน่าเชื่อถือด้วยคุณสมบัติอันยอดเยี่ยม แนวทางที่ 3) แบรนด์ที่มอบความรู้สึกมีระดับ และคุณภาพที่ดีเหนือแบรนด์ทั่วไป รวมทั้งเป็นแบรนด์ที่มีสถานะมีหน้ามีตา เป็นที่ยอมรับในสังคม ซึ่งในงานวิจัยนี้ได้คำตอบถึงแนวทางในการออกแบบเรขศิลป์เพื่อสร้างแบรนด์สินค้าเปรียบเทียบซื้อสำหรับผู้บริโภคแมสทีจได้ทั้งหมด 3 แนวทาง และยังสามารถแบ่งลักษณะของผู้บริโภคแมสทีจได้ 3 กลุ่ม ตามลักษณะการดำเนินชีวิต และพฤติกรรมการบริโภคที่แตกต่างกัน โดยองค์ความรู้ที่ค้นพบนี้เป็นต่อยอดจากศาสตร์ทางด้านการตลาดไปสู่งานวิจัยทางด้านการออกแบบ ซึ่งปัจจุบันนั้นการออกแบบถือว่ามีส่วนสำคัญอย่างยิ่งในโลกของการแข่งขันทางด้านการตลาด อีกทั้งเรื่องของผู้บริโภคแมสทีจเริ่มเป็นกลุ่มเป้าหมายที่เป็นกระแสหรือเทรนด์ที่นักการตลาดกำลังให้ความสนใจ
DOI: 10.5281/zenodo.5463929
title: Artificial Melanogenesis by Confining Melanin/Polydopamine Production Inside Polymersomes

description: Data underlying the figures in the publication “Artificial melanogenesis by confining melanin/polydopamine production inside polymersomes”, published in <em>Macromolecular Bioscience, </em><strong>2021</strong>. Table of contents: <strong>1. Figure 1</strong>; Zip. archive containing the experimental data for <em>Figure 1</em>. TEM micrographs and corresponding DLS and SLS revealing the morphology and size of (A) Melanin-polymersomes (with Tyrosinase), (B) PDA-polymersomes (with Tyrosinase), (C) empty polymersomes rehydrated with PBS only, and (D) Tyrosinase-polymersomes. <strong>2. Figure 2</strong>; Zip. archive containing the experimental data for <em>Figure 2</em>. (A) Zeta potential values showing the absence of Dopamine, L-DOPA or Tyrosinase adsorption at the surface of polymersomes. TEM micrographs of polymersome clusters formed after adding (B) L-DOPA with Tyrosinase, (C) Dopamine with Tyrosinase, (D) L-DOPA and (E) Dopamine to empty polymersomes. <strong>3. Figure 3</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 3</em>. Melanin and PDA formation within polymersomes monitored via UV-vis spectroscopy. Absorption spectra measured at t = 0 (grey), t=12 h (cyan) and t=24 h (orange) of incubation at 37 °C of (A) Empty polymersomes, (B) Tyrosinase polymersomes, (C) L-DOPA polymersomes, (D) L-DOPA polymersomes (with Tyrosinase), (E) Dopamine polymersomes, (F) Dopamine polymersomes (with Tyrosinase). <strong>4. Figure 4</strong>; Zip. archive containing the experimental data for <em>Figure 4</em>. Interaction of polymersome-based melanosome mimics with HaCaT cells. (A) Cell proliferation assay showing the non-toxicity of different polymersomes encapsulating dopamine and Tyrosinase (dashed purple), L-DOPA and Tyrosinase (dashed grey), dopamine (purple), L-DOPA (grey), PBS (yellow), Tyrosinase (dashed yellow) compared to control PBS without polymersomes (blue). Cells were incubated with respective polymersomes for 24 h. (B) Cell proliferation assay showing the cytotoxicity of free L-DOPA/dopamine (with and without Tyrosinase) compared to PBS. (C) Cell proliferation assay showing the cytotoxicity/cell protection effect of different kinds of polymersomes after 40 min of UV-irradiation of cells treated for 24 h with polymersomes. (D) CLSM images showing perinuclear localization of model polymersomes (encapsulating fluorescent Atto-488) in keratinocytes. Statistical significance was shown as p values &lt; 0.02.
DOI: 10.5281/zenodo.5463928
title: Artificial Melanogenesis by Confining Melanin/Polydopamine Production Inside Polymersomes

description: Data underlying the figures in the publication “Artificial melanogenesis by confining melanin/polydopamine production inside polymersomes”, published in <em>Macromolecular Bioscience, </em><strong>2021</strong>. Table of contents: <strong>1. Figure 1</strong>; Zip. archive containing the experimental data for <em>Figure 1</em>. TEM micrographs and corresponding DLS and SLS revealing the morphology and size of (A) Melanin-polymersomes (with Tyrosinase), (B) PDA-polymersomes (with Tyrosinase), (C) empty polymersomes rehydrated with PBS only, and (D) Tyrosinase-polymersomes. <strong>2. Figure 2</strong>; Zip. archive containing the experimental data for <em>Figure 2</em>. (A) Zeta potential values showing the absence of Dopamine, L-DOPA or Tyrosinase adsorption at the surface of polymersomes. TEM micrographs of polymersome clusters formed after adding (B) L-DOPA with Tyrosinase, (C) Dopamine with Tyrosinase, (D) L-DOPA and (E) Dopamine to empty polymersomes. <strong>3. Figure 3</strong>; Zip. archive containing the experimental data of the graphs in <em>Figure 3</em>. Melanin and PDA formation within polymersomes monitored via UV-vis spectroscopy. Absorption spectra measured at t = 0 (grey), t=12 h (cyan) and t=24 h (orange) of incubation at 37 °C of (A) Empty polymersomes, (B) Tyrosinase polymersomes, (C) L-DOPA polymersomes, (D) L-DOPA polymersomes (with Tyrosinase), (E) Dopamine polymersomes, (F) Dopamine polymersomes (with Tyrosinase). <strong>4. Figure 4</strong>; Zip. archive containing the experimental data for <em>Figure 4</em>. Interaction of polymersome-based melanosome mimics with HaCaT cells. (A) Cell proliferation assay showing the non-toxicity of different polymersomes encapsulating dopamine and Tyrosinase (dashed purple), L-DOPA and Tyrosinase (dashed grey), dopamine (purple), L-DOPA (grey), PBS (yellow), Tyrosinase (dashed yellow) compared to control PBS without polymersomes (blue). Cells were incubated with respective polymersomes for 24 h. (B) Cell proliferation assay showing the cytotoxicity of free L-DOPA/dopamine (with and without Tyrosinase) compared to PBS. (C) Cell proliferation assay showing the cytotoxicity/cell protection effect of different kinds of polymersomes after 40 min of UV-irradiation of cells treated for 24 h with polymersomes. (D) CLSM images showing perinuclear localization of model polymersomes (encapsulating fluorescent Atto-488) in keratinocytes. Statistical significance was shown as p values &lt; 0.02.
DOI: 10.15468/h7sqx5
title: Discovery and re-description of the holotype of Pycnogonum gibberum (Pycnogonida: Pycnogonidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lucena, Rudá Amorim (2021): Discovery and re-description of the holotype of Pycnogonum gibberum (Pycnogonida: Pycnogonidae). Journal of Natural History 55 (1 - 2): 61-66, DOI: 10.1080/00222933.2021.1893402, URL: http://dx.doi.org/10.1080/00222933.2021.1893402
DOI: 10.5281/zenodo.4613143
title: Characterization of tracers for two-color laser-induced fluorescence thermometry of liquid-phase temperature in ethanol, 2 ethylhexanoic-acid/ethanol mixtures, 1-butanol, and o-xylene

description: Raw data set to the publication: https://doi.org/10.1364/AO.419684 The fluorescence spectra of dye solutions change their spectral signature with temperature. This effect is frequently used for temperature imaging in liquids and sprays based on two-color laser-induced fluorescence (2cLIF) measurements by simultaneously detecting the fluorescence intensity in two separate wavelength channels resulting in a temperature-sensitive ratio. In this work, we recorded temperature-dependent absorption and fluorescence spectra of solutions of five laser dyes (coumarin 152, coumarin 153, rhodamine B, pyrromethene 597 and DCM) dissolved in ethanol, a 35/65 vol.% mixture of ethanol/2-ethylhexanoic acid, ethanol/HMDSO, o-xylene, and 1-butanol to investigate their potential as temperature tracer in evaporating and burning sprays. The dissolved tracers were excited at either 266, 355, and 532 nm (depending on the tracer) for temperatures between 296 and 393 K (depending on the solvent), and for concentrations ranging between 0.1 and 10 mg/l. Absorption and fluorescence spectra of the tracers were investigated for their temperature dependence, the magnitude of signal re-absorption, the impact of different solvents and varying two-component solvent compositions. Based on the measured fluorescence spectra the tracers were analyzed for their 2cLIF temperature sensitivity in the respective solvents. Coumarin 152 showed for single-component solvents the overall best spectroscopic properties for our specific measurement situation related to temperature imaging measurements in spray-flame synthesis of nanoparticles as demonstrated previously in ethanol spray flames (Prenting et al., Exp. Fluids <strong>61 </strong>(2020) 77).
description: {"references": ["https://doi.org/10.1007/s00348-020-2909-9", "https://doi.org/10.1364/AO.419684"]}
DOI: 10.5281/zenodo.4613142
title: Characterization of tracers for two-color laser-induced fluorescence thermometry of liquid-phase temperature in ethanol, 2 ethylhexanoic-acid/ethanol mixtures, 1-butanol, and o-xylene

description: Raw data set to the publication: https://doi.org/10.1364/AO.419684 The fluorescence spectra of dye solutions change their spectral signature with temperature. This effect is frequently used for temperature imaging in liquids and sprays based on two-color laser-induced fluorescence (2cLIF) measurements by simultaneously detecting the fluorescence intensity in two separate wavelength channels resulting in a temperature-sensitive ratio. In this work, we recorded temperature-dependent absorption and fluorescence spectra of solutions of five laser dyes (coumarin 152, coumarin 153, rhodamine B, pyrromethene 597 and DCM) dissolved in ethanol, a 35/65 vol.% mixture of ethanol/2-ethylhexanoic acid, ethanol/HMDSO, o-xylene, and 1-butanol to investigate their potential as temperature tracer in evaporating and burning sprays. The dissolved tracers were excited at either 266, 355, and 532 nm (depending on the tracer) for temperatures between 296 and 393 K (depending on the solvent), and for concentrations ranging between 0.1 and 10 mg/l. Absorption and fluorescence spectra of the tracers were investigated for their temperature dependence, the magnitude of signal re-absorption, the impact of different solvents and varying two-component solvent compositions. Based on the measured fluorescence spectra the tracers were analyzed for their 2cLIF temperature sensitivity in the respective solvents. Coumarin 152 showed for single-component solvents the overall best spectroscopic properties for our specific measurement situation related to temperature imaging measurements in spray-flame synthesis of nanoparticles as demonstrated previously in ethanol spray flames (Prenting et al., Exp. Fluids <strong>61 </strong>(2020) 77).
description: {"references": ["https://doi.org/10.1007/s00348-020-2909-9", "https://doi.org/10.1364/AO.419684"]}
DOI: 10.5281/zenodo.5464040
title: Earthquakes analyzed through the Environmental Seismic Intensity (ESI) scale

description: The spreadsheet includes information on over 130 earthquakes that have been analyzed using the Environmental Seismic Intensity scale.
DOI: 10.5281/zenodo.3539014
title: How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra - MALDI-ToF dataset

description: MALDI-ToF dataset relating to the journal article "How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra" in <em>Bioinformatics</em>.
DOI: 10.5281/zenodo.3539013
title: How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra - MALDI-ToF dataset

description: MALDI-ToF dataset relating to the journal article "How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra" in <em>Bioinformatics</em>.