cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/rt0p-fa75
title: Parkes observations for project PX500 semester 2023APRS_19

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5517/ccdc.csd.cc2gf8ry
title: CCDC 2276880: Experimental Crystal Structure Determination

description: Related Article: S. Yerramsetty, F.R. Fronczek, R.M. Uppu|2023|IUCrData|8|x230565|doi:10.1107/S2414314623005655
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.23730213
title: Supplementary Material 16—MSGR Course Student Evaluations 2019.pdf

description: Student evaluations for the MSGR course in 2019.
DOI: 10.6084/m9.figshare.23730213.v1
title: Supplementary Material 16—MSGR Course Student Evaluations 2019.pdf

description: Student evaluations for the MSGR course in 2019.
DOI: 10.6084/m9.figshare.23730228
title: Supplementary Material 17—Content Analysis of Course Strengths 2019.pdf

description: Content analysis of student evaluations on MSGR course strengths in 2019.
DOI: 10.6084/m9.figshare.23730228.v1
title: Supplementary Material 17—Content Analysis of Course Strengths 2019.pdf

description: Content analysis of student evaluations on MSGR course strengths in 2019.
DOI: 10.5281/zenodo.8173271
title: lepetodrilus_tevnianus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8173270
title: lepetodrilus_tevnianus_spades_01.fasta.gz

description: .
DOI: 10.3886/e192743
title: 2022 Community Perceptions of Flood Mitigation Survey

description: The 2022 Community Perceptions of Flood Mitigation Survey is a random telephone survey of Harris County (Houston), Texas area adults over the age of 18. The main goal of the survey is to understand how residents of a flood prone city understand their risk of natural disaster, as well as how their community and individual-level circumstances contribute to those feelings of perceived risk. We also asked a series of questions on flood mitigation strategies and efforts being made within the Houston Area to curb the effects of flooding. The survey was conducted throughout March-April of 2022 though a combination of random digit cellphone dials, random digit landline dials, and listed cell phone dials for a total N of 700 respondents. Survey documentation including questionnaires, in both English and Spanish, and a methodological appendix have been made publicly available here. For use of the de-identified version of the survey, please contact the PI, Kathryn Freeman Anderson, at kateanderson@uh.edu to request the survey data file.<br>
description: Response Rates: 11.34% for eligible participants
description: Random telephone sample of Harris County (Houston), Texas adults (N=700)
description: Adults (age 18 and above) living in Harris County (Houston), Texas.
description: telephone interview;
DOI: 10.6084/m9.figshare.23730219
title: Supplementary Material 18—Student Evaluations of Mentors 2019.pdf

description: Student evaluations of mentors in the MSGR course in 2019.
DOI: 10.4246/ca_dwr_waterbalance_20230208_2018-md5965415f4e26af1804bb178bb95c51bde.zip
title: CA_DWR_WaterBalance_20230208_2018-md5965415f4e26af1804bb178bb95c51bde.zip
DOI: 10.4246/ca_dwr_waterbalance_20230721_2019-md504aa66fee1c169467d2a4bd956f8a3ea.zip
title: CA_DWR_WaterBalance_20230721_2019-md504aa66fee1c169467d2a4bd956f8a3ea.zip
DOI: 10.6084/m9.figshare.23730216
title: Supplementary Material 19—Content Analysis of Course Weaknesses 2019.pdf

description: Content analysis of student comments on MSGR course weaknesses in 2019.
DOI: 10.6084/m9.figshare.23730216.v1
title: Supplementary Material 19—Content Analysis of Course Weaknesses 2019.pdf

description: Content analysis of student comments on MSGR course weaknesses in 2019.
DOI: 10.6084/m9.figshare.23730225
title: Supplementary Material 20—Qualitative Analysis of Student Self-Assessnents 2019.pdf

description: Qualitative analysis of student self-assessments in the MSGR course in 2019.
DOI: 10.6084/m9.figshare.23730225.v1
title: Supplementary Material 20—Qualitative Analysis of Student Self-Assessnents 2019.pdf

description: Qualitative analysis of student self-assessments in the MSGR course in 2019.
DOI: 10.5281/zenodo.8173263
title: Normkennfeld für Kaplan-Turbinen

description: Matrizen \(M_{a,\varphi,pu}\)und \(P_{0,a,\varphi,pu}\)für die Berechnung des Leistungskennfelds einer Kaplan-Turbine, wie in [Gra20] beschrieben. [Gra20] Michael Gratza, Christoph J. Steinhart, Rolf Witzmann, Michael Finkel, Christian Dellmann <em>Parametrierung eines dynamischen Kaplan-Turbinen-Modells anhand von Messdaten für den Inselnetzbetrieb</em> 16. Symposium Energieinnovation Graz, Österreich; Februar 2020
description: {"references": ["Michael Gratza, Christoph J. Steinhart, Rolf Witzmann, Michael Finkel, Christian Dellmann Parametrierung eines dynamischen Kaplan-Turbinen-Modells anhand von Messdaten f\u00fcr den Inselnetzbetrieb 16. Symposium Energieinnovation Graz, \u00d6sterreich; Februar 2020"]}
DOI: 10.5281/zenodo.8173262
title: Normkennfeld für Kaplan-Turbinen

description: Matrizen \(M_{a,\varphi,pu}\)und \(P_{0,a,\varphi,pu}\)für die Berechnung des Leistungskennfelds einer Kaplan-Turbine, wie in [Gra20] beschrieben. [Gra20] Michael Gratza, Christoph J. Steinhart, Rolf Witzmann, Michael Finkel, Christian Dellmann <em>Parametrierung eines dynamischen Kaplan-Turbinen-Modells anhand von Messdaten für den Inselnetzbetrieb</em> 16. Symposium Energieinnovation Graz, Österreich; Februar 2020
description: {"references": ["Michael Gratza, Christoph J. Steinhart, Rolf Witzmann, Michael Finkel, Christian Dellmann Parametrierung eines dynamischen Kaplan-Turbinen-Modells anhand von Messdaten f\u00fcr den Inselnetzbetrieb 16. Symposium Energieinnovation Graz, \u00d6sterreich; Februar 2020"]}
DOI: 10.6084/m9.figshare.23730231
title: Supplementary Material 21—Mentor Survey.pdf

description: Mentor survey of MSGR course in 2019.
DOI: 10.6084/m9.figshare.23730231.v1
title: Supplementary Material 21—Mentor Survey.pdf

description: Mentor survey of MSGR course in 2019.
DOI: 10.4246/ca_dwr_waterbalance_20230721_2018-md563baa7cb32b496cd92e74b6360364837.zip
title: CA_DWR_WaterBalance_20230721_2018-md563baa7cb32b496cd92e74b6360364837.zip
DOI: 10.4246/ca_dwr_waterbalance_20230721_2019-md5fd89bcf58101a493c9e3cd82755dad7b.zip
title: CA_DWR_WaterBalance_20230721_2019-md5fd89bcf58101a493c9e3cd82755dad7b.zip
DOI: 10.4246/ca_dwr_waterbalance_20230721_2019-md55a7308a0ceb392fbe704a35576da72dd.zip
title: CA_DWR_WaterBalance_20230721_2019-md55a7308a0ceb392fbe704a35576da72dd.zip
DOI: 10.34740/kaggle/dsv/6174410
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.23692683
title: Topic Modeling Implementation using Stack Overflow and GitHub Issue reports data related to Scientific Workflows

description: These two files contain the implementation of our topic modeling algorithm using our dataset. We have employed the widely adopted LDA algorithm, a prominent topic modeling technique, to categorize the topics. Additionally, state-of-the-art methods were employed to preprocess the data effectively. To determine the most suitable number of topics, we conducted experiments with various values, and some of the results are showcased in the script. Our implementation files are self-explanatory and provide a clear understanding of the procedures used. <br>
DOI: 10.6084/m9.figshare.23692683.v1
title: Topic Modeling Implementation using Stack Overflow and GitHub Issue reports data related to Scientific Workflows

description: These two files contain the implementation of our topic modeling algorithm using our dataset. We have employed the widely adopted LDA algorithm, a prominent topic modeling technique, to categorize the topics. Additionally, state-of-the-art methods were employed to preprocess the data effectively. To determine the most suitable number of topics, we conducted experiments with various values, and some of the results are showcased in the script. Our implementation files are self-explanatory and provide a clear understanding of the procedures used. <br>
DOI: 10.6084/m9.figshare.23730489
title: data.txt

description: The data set and figures.
DOI: 10.6084/m9.figshare.23730489.v1
title: data.txt

description: The data set and figures.
DOI: 10.6084/m9.figshare.23674662
title: Scientific Workflow related Posts in Stack Overflow

description: This dataset contain the posts related to scientific workflows and scientific workflow management systems
DOI: 10.6084/m9.figshare.23674662.v1
title: Scientific Workflow related Posts in Stack Overflow

description: This dataset contain the posts related to scientific workflows and scientific workflow management systems
DOI: 10.6084/m9.figshare.23674662.v2
title: Scientific Workflow related Posts in Stack Overflow

description: This dataset contain the posts related to scientific workflows and scientific workflow management systems
DOI: 10.17592/001.2023041002
title: Chlorophyll a and macronutrient concentrations during the icebreaker Shirase cruise of the 62nd and 63rd Japanese Antarctic Research Expedition

description: Chlorophyll a concentration is the most common indicator of phytoplankton biomass, basically regulated by physicochemical properties such as temperature, salinity, macronutrients and light intensity. As part of the monitoring programs of the Japanese Antarctic Research Expedition (JARE), water temperature, salinity, chlorophyll a concentration, and macronutrients (nitrate, nitrite, phosphate, and silicic acid) have been measured since 1965. This report, presents the latest data collected during the Shirase cruise in the 2020/21 and 2021/22 seasons, is the fifth report for the monitoring on board Shirase from the first report of 2016/17 season (Makabe et al., 2020) in this datasets.
DOI: 10.17592/001.2023071801
title: Stable oxygen isotope ratio of seawaters off the coast from Wilkes to George V Land, East Antarctica, during 2018/2019 summer

description: Hydrographical observations were conducted during the Kaiyo-maru cruise (KY1804) to describe the oceanic watermass properties off the coast between 80-150E, East Antarctica. Conductivity, Temperature, and Depth (CTD)/ Rosette Multi-Sampler (RMS) observations were completed during December 2018 to February 2020. SBE911plus with water sampler system of Sea-Bird Electronics, Inc. was used. After transporting the water samples to laboratory, stable oxygen isotope ratio, reference to VSMOW2, was measured by Isoprime (Elementar, U.K.) at Institute of Low Temperature Science, Hokkaido University.
DOI: 10.6084/m9.figshare.23730519
title: Data for " <strong>Effects of Metolachlor and Fish Cues on Tadpole Antipredator Behaviors</strong> "

description: Data for " <strong>Effects of Metolachlor and Fish Cues on Tadpole Antipredator Behaviors</strong> ". See paper. Full code is in the .rmd file.
DOI: 10.15482/usda.adc/1529347
title: Exploring the Benefits of Brackish Water and Halophytes for Human Health

description: The goal of this project is to evaluate the potential for brackish groundwater and its desalination concentrate to increase the production of human health-promoting secondary metabolites by three Southwestern U.S. native halophyte species, Atriplex canescens (Pursh) Nutt. (fourwing saltbush), Atriplex lentiformis (Torr.) S. Watson (big saltbush), and Lepidium alyssoides A. Gray var. alyssoides (mesa pepperwort). In addition to secondary metabolites such as phenolics and total antioxidants, we have also been monitoring plant biomass production, evapotranspiration (ET), and salt uptake. The data have been managed by the project director (Picchioni) assisted by one undergraduate and one graduate student. Data collection occurred in two phases and in two locations. Two duplicate experiments were completed between March and December 2021 in a greenhouse at the Fabian Garcia Agricultural Sciences Center located 2 km from the main campus of New Mexico State University in Las Cruces, NM. Greenhouse data include crop evapotranspiration, irrigation solution chemical composition, and biomass production.  After each greenhouse experiment, laboratory analyses were made for dried biomass production, total and specific phenolics, total antioxidant activity, glucosinolates, and inorganic ions.  Data were transferred from lab notebooks and data acquisition documents to spreadsheets, graphs, text, and SAS version 9.4 for statistical analysis.
For the two halophyte experiments in 2021, the timelines were as follows. In Experiment 1, the seed were sown on March 11, saline irrigation began on May 20 at 1/4X full salt concentration, and harvest (termination) was on July 1. In Experiment 2, the seed were sown on July 6, irrigation at 1/4X salt began on September 16, and the plants were harvested on October 28. A related study on two domesticated vegetable crops (Swiss chard and leaf lettuce), also funded by the NIFA grant, was conducted in winter-spring 2022. Only the data from the halophyte experiments are included in the dataset.
The dataset is divided into three main parts. Part A includes general information about the experiments. Part B includes data on biomass production, evapotranspiration, irrigation, and plant mineral concentrations. Part C includes the data on secondary metabolites, namely total phenolic and total antioxidant concentrations. Questions about the dataset may be directed to Dr. G.A. Picchioni at gpicchio@nmsu.edu.
DOI: 10.34740/kaggle/dsv/6169251
title: CFD Lung Diagnosis
DOI: 10.25919/wjt4-xs70
title: Parkes observations for project P1194 semester 2023APRS_22

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.34740/kaggle/dsv/6174658
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/6174669
title: CFD Lung Diagnosis
DOI: 10.5281/zenodo.8173438
title: test2

description: ertsefet
DOI: 10.5281/zenodo.8173321
title: Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited

description: Reproduction Package for the Paper "Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited". <strong>File Organization</strong> MESA: MESA modifications to include losses due to the neutrino magnetic dipole moment, scripts to run the grid of models, and post processing pipeline scripts including the Worthey \& Lee bolometric correction code. ML_models: Machine learning code to train and use the models as well as the models themselves. analysis: Plotting code to create figures for papers and presentations. makeGrids: Scripts to create the different input grid files to run MESA on. mcmc: Scripts and plots for the MCMC analysis. mesa_data: All MESA models generated in this project. environment.yml: Conda environment for analysis and the mcmc. More details can be found in the README files within each directory. <strong>Citation Policy</strong><br> If you use any part of this reproduction package for independent work, we recommend you cite the following papers: This paper https://arxiv.org/abs/2303.12069 https://arxiv.org/abs/2305.03113 Astrophys. J. Suppl. 192, 3 (2011) Astrophys. J. Suppl. 208, 4 (2013) Astrophys. J. Suppl. 234, 34 (2018) Astrophys. J. Suppl. 243, 10 (2019) <strong>Software</strong> Python version 3.8, NumPy version 1.22.3, Pandas version 1.4.3, Matplotlib version 3.5.1, Seaborn version 0.11.2, Tensorflow version 2.4.1, corner version 2.2.1, emcee version 3.1.2, MESA version 12778, MESASDK version x86_64-linux-20.3.2.
DOI: 10.5281/zenodo.8173320
title: Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited

description: Reproduction Package for the Paper "Tip of the Red Giant Branch Bounds on the Neutrino Magnetic Dipole Moment Revisited". <strong>File Organization</strong> MESA: MESA modifications to include losses due to the neutrino magnetic dipole moment, scripts to run the grid of models, and post processing pipeline scripts including the Worthey \& Lee bolometric correction code. ML_models: Machine learning code to train and use the models as well as the models themselves. analysis: Plotting code to create figures for papers and presentations. makeGrids: Scripts to create the different input grid files to run MESA on. mcmc: Scripts and plots for the MCMC analysis. mesa_data: All MESA models generated in this project. environment.yml: Conda environment for analysis and the mcmc. More details can be found in the README files within each directory. <strong>Citation Policy</strong><br> If you use any part of this reproduction package for independent work, we recommend you cite the following papers: This paper https://arxiv.org/abs/2303.12069 https://arxiv.org/abs/2305.03113 Astrophys. J. Suppl. 192, 3 (2011) Astrophys. J. Suppl. 208, 4 (2013) Astrophys. J. Suppl. 234, 34 (2018) Astrophys. J. Suppl. 243, 10 (2019) <strong>Software</strong> Python version 3.8, NumPy version 1.22.3, Pandas version 1.4.3, Matplotlib version 3.5.1, Seaborn version 0.11.2, Tensorflow version 2.4.1, corner version 2.2.1, emcee version 3.1.2, MESA version 12778, MESASDK version x86_64-linux-20.3.2.
DOI: 10.6084/m9.figshare.23723139.v1
title: MFC_laminate_significance_tables.xlsx

description: ANOVA tables of bend-twist coupling behavior of Macro-Fiber Composite laminates with variable substrate properties. Both maximum actuation capabilities, along with remanent displacements due to hysteresis, are present in this data set. Data variations ran through 2k 1/4-fractional factorial design of experiments. Eta-squared values are provided to define statistical significance of substrate properties. ANOVA analysis conducted using R-studio. Three configurations are observed: <br> Pure bending bimorph: [0<sub>MFC</sub>/Substrate/0<sub>MFC</sub>]<sub>T</sub> Pure twisting bimorph: [45<sub>MFC</sub>/Substrate/-45<sub>MFC</sub>]<sub>T</sub> Unimorph: [0<sub>MFC</sub>/Substrate]<sub>T</sub> Note: The sheet indicator (60) differentiates the simulated conditions. (60) pertains to 60 degrees Celsius whereas no such indicator pertains to 25 degree Celsius ambient temperature.
DOI: 10.6084/m9.figshare.23723139.v2
title: MFC Laminate Significance Tables

description: ANOVA tables of bend-twist coupling behavior of Macro-Fiber Composite laminates with variable substrate properties. Both maximum actuation capabilities, along with remanent displacements due to hysteresis, are present in this data set. Data variations ran through 2k 1/4-fractional factorial design of experiments. Eta-squared values are provided to define statistical significance of substrate properties. ANOVA analysis conducted using R-studio. Three configurations are observed: <br> Pure bending bimorph: [0<sub>MFC</sub>/Substrate/0<sub>MFC</sub>]<sub>T</sub> Pure twisting bimorph: [45<sub>MFC</sub>/Substrate/-45<sub>MFC</sub>]<sub>T</sub> Unimorph: [0<sub>MFC</sub>/Substrate]<sub>T</sub> Note: The sheet indicator (60) differentiates the simulated conditions. (60) pertains to 60 degrees Celsius whereas no such indicator pertains to 25 degree Celsius ambient temperature.
DOI: 10.25493/zft5-16t
title: Waxholm Space atlas of the Sprague Dawley rat brain delineations (v4.01)

description: This dataset is part of the Waxholm Space atlas of the Sprague Dawley rat brain, which is an open access volumetric atlas. The delineations are defined in isotropic magnetic resonance (39 μm) and diffusion tensor (78 μm) images acquired ex vivo from an 80 day old male rat at the Duke Center for In Vivo Microscopy.
DOI: 10.5517/ccdc.csd.cc2bc574
title: CCDC 2155685: Experimental Crystal Structure Determination

description: Related Article: Natalia Skrzypczak, Krystian Pyta, Wiktor Bohusz, Aleksandra Leśniewska, Maria Gdaniec, Piotr Ruszkowski, Wojciech Schilf, Franz Bartl, Piotr Przybylski|2023|J.Org.Chem.|88|9469|doi:10.1021/acs.joc.3c00493
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.cc2bc585
title: CCDC 2155686: Experimental Crystal Structure Determination

description: Related Article: Natalia Skrzypczak, Krystian Pyta, Wiktor Bohusz, Aleksandra Leśniewska, Maria Gdaniec, Piotr Ruszkowski, Wojciech Schilf, Franz Bartl, Piotr Przybylski|2023|J.Org.Chem.|88|9469|doi:10.1021/acs.joc.3c00493
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.cc2bc596
title: CCDC 2155687: Experimental Crystal Structure Determination

description: Related Article: Natalia Skrzypczak, Krystian Pyta, Wiktor Bohusz, Aleksandra Leśniewska, Maria Gdaniec, Piotr Ruszkowski, Wojciech Schilf, Franz Bartl, Piotr Przybylski|2023|J.Org.Chem.|88|9469|doi:10.1021/acs.joc.3c00493
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.cc2bc5b7
title: CCDC 2155688: Experimental Crystal Structure Determination

description: Related Article: Natalia Skrzypczak, Krystian Pyta, Wiktor Bohusz, Aleksandra Leśniewska, Maria Gdaniec, Piotr Ruszkowski, Wojciech Schilf, Franz Bartl, Piotr Przybylski|2023|J.Org.Chem.|88|9469|doi:10.1021/acs.joc.3c00493
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.