cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16601744.v1
title: Data for: The spread of the first introns in proto-eukaryotic paralogs

description: -Multiple sequence alignment files and corresponding Jalview features files and intron tables-Intron rates files and used species trees-Inferred LECA introns and pre-duplication introns
DOI: 10.6084/m9.figshare.16974280
title: Soft skills and math

description: The datasets includes general information and standardized scores for:6 soft skills (adaptability, curiosity, initiative, perseverance, leadership, and social awareness)3 motivational factors (learning goals, academic self-efficacy, theories of intelligence)Achievement emotions (positive and negative)Self-regulated learning strategiesMath achievement measured with standardized tests
DOI: 10.5258/soton/d2098
title: Data for Engineering photon statistics in a spinor polariton condensate

description: Experimental data and numerical simulation results used to create the figures in the paper Baryshev, S., Zasedatelev, A., Sigurdsson, H., Gnusov, I., Töpfer, J.D., Askitopoulos, A., & Lagoudakis, P.G. (2022) Engineering photon statistics in a spinor polariton condensate. Physical Review Letters.
DOI: 10.34740/kaggle/dsv/3199437
title: Movie Review And Rating
DOI: 10.5517/ccdc.csd.cc293glh
title: CCDC 2118496: Experimental Crystal Structure Determination

description: Related Article: Yingying Cai, Chi Liu, Guangying Liu, Chengxi Li, Huanfeng Jiang, Chuanle Zhu|2022|Org.Biomol.Chem.|20|1500|doi:10.1039/D1OB02268G
DOI: 10.5517/ccdc.csd.cc294cpj
title: CCDC 2119367: Experimental Crystal Structure Determination

description: Related Article: H. Ishida|2021|IUCrData|6|x211150|doi:10.1107/S2414314621011500
DOI: 10.6084/m9.figshare.19196114.v1
title: Mass balance calculations

description: Ayers et al. (2022) The solubility of titanite in silicate melt determined from growth and dissolution experiments. Contributions to Mineralogy and Petrology.<br>Mass balance calculations were performed for seven growth experiments that had only titanite and glass as run product phases. Weighted nonlinear least squares regression was used with the constraints that the weight fractions for titanite and glass were &lt;= 1 and &gt;= 0.01 and that the sum of weight fractions equal one. FeO was excluded due to iron loss during the experiments, and MnO and P<sub>2</sub>O<sub>5</sub> were excluded because their concentrations were near the detection limit so that relative errors on their concentrations were high. Calculated weight fractions of titanite ranged from 0.01 to 0.07. Oxides included in the mass balance calculations and their average absolute values of relative errors were SiO<sub>2</sub> 4%, Al<sub>2</sub>O<sub>3</sub> 6%, Na<sub>2</sub>O 9%, K<sub>2</sub>O 11%, CaO 15%, MgO 41% and TiO<sub>2</sub> 15%. MgO relative errors were higher because in some experiments the starting material had very low MgO concentrations.<br>
DOI: 10.6084/m9.figshare.19196114
title: Mass balance calculations

description: Ayers et al. (2022) The solubility of titanite in silicate melt determined from growth and dissolution experiments. Contributions to Mineralogy and Petrology.<br>Mass balance calculations were performed for seven growth experiments that had only titanite and glass as run product phases. Weighted nonlinear least squares regression was used with the constraints that the weight fractions for titanite and glass were &lt;= 1 and &gt;= 0.01 and that the sum of weight fractions equal one. FeO was excluded due to iron loss during the experiments, and MnO and P<sub>2</sub>O<sub>5</sub> were excluded because their concentrations were near the detection limit so that relative errors on their concentrations were high. Calculated weight fractions of titanite ranged from 0.01 to 0.07. Oxides included in the mass balance calculations and their average absolute values of relative errors were SiO<sub>2</sub> 4%, Al<sub>2</sub>O<sub>3</sub> 6%, Na<sub>2</sub>O 9%, K<sub>2</sub>O 11%, CaO 15%, MgO 41% and TiO<sub>2</sub> 15%. MgO relative errors were higher because in some experiments the starting material had very low MgO concentrations.<br>
DOI: 10.5517/ccdc.csd.cc295c73
title: CCDC 2120314: Experimental Crystal Structure Determination

description: Related Article: Leiqing Fu, Jie-Ping Wan, Liyun Zhou, Yunyun Liu|2022|Chem.Commun.|58|1808|doi:10.1039/D1CC06768K
DOI: 10.5517/ccdc.csd.cc296c30
title: CCDC 2121271: Experimental Crystal Structure Determination

description: Related Article: Rikako Ura, Akihiro Tsurusaki, Ken Kamikawa|2022|Dalton Trans.|51|2943|doi:10.1039/D1DT03806K
DOI: 10.25403/upresearchdata.19149077
title: Vibration data for a ten, eight and six DOF gearbox model

description: The data includes two large sets of simulated data:The first set includes data for a 10 DOF single stage gearbox model, for two measurement locations (labelled according to file name). This data is further split into multiple noise cases (labelled by SNR0 and SNR1000).<br>The second set includes data for a six and eight DOF single stage gearbox model, for the same measurement locations. The two datasets are split according to filename. This data is further split into multiple noise cases (labelled by SNR0 and SNR1000).<br>The data is split into groups of three: _regressions, _classes and _data. _regressions refer to the fault intensities, _classes refer to the classes (0-health, 1-crack, 2-chip, 3-spall, 4-pit) and _data refers to the corresponding simulated vibration signal. <br>_regressions and _class should have n instances corresponding to the n _data signals of length m which were generated.<br>Data was generated at 10Nm of resistance torque. The speed is fixed according to the Masters Dissertation. <br>The code which was used for the data is Python. <br><br><br>
DOI: 10.25403/upresearchdata.19149077.v1
title: Vibration data for a ten, eight and six DOF gearbox model

description: The data includes two large sets of simulated data:The first set includes data for a 10 DOF single stage gearbox model, for two measurement locations (labelled according to file name). This data is further split into multiple noise cases (labelled by SNR0 and SNR1000).<br>The second set includes data for a six and eight DOF single stage gearbox model, for the same measurement locations. The two datasets are split according to filename. This data is further split into multiple noise cases (labelled by SNR0 and SNR1000).<br>The data is split into groups of three: _regressions, _classes and _data. _regressions refer to the fault intensities, _classes refer to the classes (0-health, 1-crack, 2-chip, 3-spall, 4-pit) and _data refers to the corresponding simulated vibration signal. <br>_regressions and _class should have n instances corresponding to the n _data signals of length m which were generated.<br>Data was generated at 10Nm of resistance torque. The speed is fixed according to the Masters Dissertation. <br>The code which was used for the data is Python. <br><br><br>
DOI: 10.5281/zenodo.6139938
title: Dataset: High-accuracy simulations of highly spinning binary neutron star systems

description: <strong>Dataset for Gravitational Waveforms for the work of Dudi et al., "High-accuracy simulations of highly spinning binary neutron star systems"; arXiv: 2108.10429 </strong> <strong>The naming of the files: </strong>EOS_SpinSetup_NumberOfPoints_Mode.dat<br> EOS: SLy<br> SpinSetup: dd - down down; ud - up, down; uu037 -- up, up with dimensionless spin of 0.37; uu057 -- up, up with dimensionless spin of 0.57<br> NumberOfPoints: Points inside the finest level: 96, 144, 192, 240<br> Mode: Only 2,2-mode available <br>
DOI: 10.5281/zenodo.6139937
title: Dataset: High-accuracy simulations of highly spinning binary neutron star systems

description: <strong>Dataset for Gravitational Waveforms for the work of Dudi et al., "High-accuracy simulations of highly spinning binary neutron star systems"; arXiv: 2108.10429 </strong> <strong>The naming of the files: </strong>EOS_SpinSetup_NumberOfPoints_Mode.dat<br> EOS: SLy<br> SpinSetup: dd - down down; ud - up, down; uu037 -- up, up with dimensionless spin of 0.37; uu057 -- up, up with dimensionless spin of 0.57<br> NumberOfPoints: Points inside the finest level: 96, 144, 192, 240<br> Mode: Only 2,2-mode available <br>
DOI: 10.5519/qd.7zbnm8po
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.14469/hpc/9873
title: 1: IR: (±)-1-adamantanemethanol-d [(±)-4-d]

description: IR spectrum of (±)-1-adamantanemethanol-d [(±)-4-d]
DOI: 10.14469/hpc/9896
title: 2: IR: adamantanecarboxaldehyde-d (2-d)

description: IR spectrum of adamantanecarboxaldehyde-d (2-d)
DOI: 10.14469/hpc/9898
title: 3: IR: (±)-1-adamantan-1-yl-4,4-dimethylpent-2-yn-1-d-1-ol [(±)-5-d]

description: IR spectrum
DOI: 10.5281/zenodo.6128443
title: Response to COVID-19: Clients' perspectives on the utilization of reproductive, maternal and child health care services in Nigeria

description: This dataset was a part of a cross-sectional descriptive study in 320 rural communities in 32 Local Government Areas (LGAs) across the Federal Capital Territory (FCT), Abuja, and 9 out of the 36 Nigerian States in 2020. The dataset contains views of women who used primary health care centres in the selected LGAs for maternal and child health care, and family planning services before, during, and after the COVID-19 pandemic lockdown in Nigeria. The sample size was determined using the Yamane sample size formula. The estimated sample size per State was 384 (3,840 for nine States and FCT), with a 10% adjustment for non-response, the total sample size was 422 per State or location (4220 for the nine States and FCT). The data are stored in SPSS format. <br> The study was an initiative of UNFPA Nigeria. They coordinated it under the One UN Basket fund to respond to COVID-19 and implemented it under the supervision of three national NGOs: The Women’s Health and Action Research Centre (WHARC), Education as a Vaccine (EVA), and the Planned Parenthood Federation of Nigeria (PPFN).
DOI: 10.5281/zenodo.6128442
title: Response to COVID-19: Clients' perspectives on the utilization of reproductive, maternal and child health care services in Nigeria

description: This dataset was a part of a cross-sectional descriptive study in 320 rural communities in 32 Local Government Areas (LGAs) across the Federal Capital Territory (FCT), Abuja, and 9 out of the 36 Nigerian States in 2020. The dataset contains views of women who used primary health care centres in the selected LGAs for maternal and child health care, and family planning services before, during, and after the COVID-19 pandemic lockdown in Nigeria. The sample size was determined using the Yamane sample size formula. The estimated sample size per State was 384 (3,840 for nine States and FCT), with a 10% adjustment for non-response, the total sample size was 422 per State or location (4220 for the nine States and FCT). The data are stored in SPSS format. <br> The study was an initiative of UNFPA Nigeria. They coordinated it under the One UN Basket fund to respond to COVID-19 and implemented it under the supervision of three national NGOs: The Women’s Health and Action Research Centre (WHARC), Education as a Vaccine (EVA), and the Planned Parenthood Federation of Nigeria (PPFN).
DOI: 10.7910/dvn/dg1xo0
title: Afrogrid V2

description: This script and data updates Afrogrid V1 by adding indicators marking locations that have desert-like conditions. In multiple papers, we use this data to map a transition zone between the Sahara desert and Sahel. We will also include analysis scripts for papers using this data.
DOI: 10.6084/m9.figshare.19196209.v1
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: rk4
DOI: 10.6084/m9.figshare.19196209
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: rk4
DOI: 10.6084/m9.figshare.19196215.v1
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: README
DOI: 10.6084/m9.figshare.19196215
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: README
DOI: 10.6084/m9.figshare.19196218
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: run_fcas6
DOI: 10.6084/m9.figshare.19196218.v1
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: run_fcas6
DOI: 10.6084/m9.figshare.19196221
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: fcas6
DOI: 10.6084/m9.figshare.19196221.v1
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: fcas6
DOI: 10.6084/m9.figshare.19196230
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: params6
DOI: 10.6084/m9.figshare.19196230.v1
title: The sulfur isotopic consequence of seawater sulfate distillation preserved in the Neoproterozoic Sete Lagoas post-glacial carbonate, eastern Brazil

description: params6
DOI: 10.34740/kaggle/dsv/3200665
title: COVID Vaccination in World (updated daily)
DOI: 10.25345/c5k28h
title: MassIVE MSV000088863 - ECO_c18_neg_Ctrl_low_high_LP-600
title: E.coli metabolomics under treatment of different concentrations of siderophore-conjugate, LP-600.
DOI: 10.5281/zenodo.5589533
title: CStone paper: Case study 1 - simulated data

description: <strong>Summary</strong> cDNA libraries from fruit fly, leopard, rat and canary were downloaded from Ensembl [1]. For each ≈10 million read pairs, of length 200 nt, insert size 300 nt and containing no read error, were generated from transcripts that ranged in length from 300 to 5000 nt in a manner that reflects uniform coverage. Further details are described in our manuscript: "<strong>CStone: A <em>de novo</em> transcriptome assembler for short-read data that identifies non-chimeric contigs based on underlying graph structure</strong>" [2]. Use of such simulated data allows for the comparison of the assembled contigs to the sequences from which the reads were derived, while excluding the effects of unknown variation; including that of sequencing error and poor coverage. The CStone project page is located at: https://sourceforge.net/projects/cstone/ Related software to this project are:<br> 1. CStone &lt;<br> 2. CSReadGen<br> 3. CView<br> 4. ChimSim<br> 5. TVScript A related poster discussing the the identification of chimerism during assembly is available here and one discussing the effects of chimerism is available here. General details of the project are available here. <strong>References</strong> 1. Yates AD, Achuthan P, Akanni W, Allen J, Allen J, Alvarez-Jarreta J, et al. Ensembl 2020. Nucleic Acids Res. 2020;48: D682–D688. doi:10.1093/NAR/GKZ966 2. Linheiro R, Archer J. <em>CStone: A de novo transcriptome assembler for short-read data that identifies non-chimeric contigs based on underlying graph structure.</em> PLOS Comput Biol. 2021;17: e1009631.
description: The Portuguese Foundation for Science and Technology, FCT, supported this work through project PTDC/BIA-EVL/29115/2017. JA and RL were supported by Funds through FCT under the reference POCI-01-0145-FEDER-029115
DOI: 10.5281/zenodo.5589532
title: CStone paper: Case study 1 - simulated data

description: <strong>Summary</strong> cDNA libraries from fruit fly, leopard, rat and canary were downloaded from Ensembl [1]. For each ≈10 million read pairs, of length 200 nt, insert size 300 nt and containing no read error, were generated from transcripts that ranged in length from 300 to 5000 nt in a manner that reflects uniform coverage. Further details are described in our manuscript: "<strong>CStone: A <em>de novo</em> transcriptome assembler for short-read data that identifies non-chimeric contigs based on underlying graph structure</strong>" [2]. Use of such simulated data allows for the comparison of the assembled contigs to the sequences from which the reads were derived, while excluding the effects of unknown variation; including that of sequencing error and poor coverage. The CStone project page is located at: https://sourceforge.net/projects/cstone/ Related software to this project are:<br> 1. CStone &lt;<br> 2. CSReadGen<br> 3. CView<br> 4. ChimSim<br> 5. TVScript A related poster discussing the the identification of chimerism during assembly is available here and one discussing the effects of chimerism is available here. General details of the project are available here. <strong>References</strong> 1. Yates AD, Achuthan P, Akanni W, Allen J, Allen J, Alvarez-Jarreta J, et al. Ensembl 2020. Nucleic Acids Res. 2020;48: D682–D688. doi:10.1093/NAR/GKZ966 2. Linheiro R, Archer J. <em>CStone: A de novo transcriptome assembler for short-read data that identifies non-chimeric contigs based on underlying graph structure.</em> PLOS Comput Biol. 2021;17: e1009631.
description: The Portuguese Foundation for Science and Technology, FCT, supported this work through project PTDC/BIA-EVL/29115/2017. JA and RL were supported by Funds through FCT under the reference POCI-01-0145-FEDER-029115
DOI: 10.5281/zenodo.6127747
title: Family Type, Mental and Physical Health of in-school Female Adolescents in Ado-Ekiti, Nigeria

description: This dataset is based on a cross-sectional survey conducted in Ado-Ekiti, Nigeria among in-school female adolescents. The general objective of the study was to examine the influence of family type on the physical and mental health of in-school female adolescents. The data were obtained in 2017 from in-school female adolescents aged 10-18 years old. The respondents were randomly selected from four purposively selected secondary schools. Two schools were selected from the government-owned public schools and two from schools owned by individuals or private organizations. Nigeria operates a six-year secondary education; three years at the junior secondary school (JSS 1-3) and three years at the senior secondary (SS 1-3). The population for this study excluded students in SS3 because they had just concluded their terminal examination at the time of this study. Using the formula proposed by (Krejcie & Morgan, 1970) for deriving a small sample when the population is known, a sample size of 383 was derived from a population of 1656 female students in the four schools. With 10% added to adjust for non-response, a total of 421 students were involved in the study. The number of respondents allocated to each school was proportional to the size of the female students' population in each school. In each school, respondents were assigned to classes proportional to the size, and the particular respondents were identified using a random number. Data were collected with a self-administered structured questionnaire which was piloted before the actual survey. The data is saved in Stata format. A scale for measuring self-reported mental well was designed using questions adapted from Ross, Mirowsky, & Goldsteen (1990) and (Langton & Berger, 2011). The scale reliability coefficient was 0.85. The students were asked to state how often they experience 22 conditions such as feeling sad, discouraged, lonely, hopeless, worthless, wishing you were dead, having trouble concentrating, having difficulty sleeping, crying, and worried among others. Physical health was measured using a scale generated with questions adapted from (Langton & Berger, 2011; Ross et al., 1990). The students were asked to state the frequency of experiencing seven conditions in the month before the survey: feeling sick, tired, dizzy, having chest pain, a headache, muscle or joint pain, and stomach ache. The response options were every day, more than two times, two times, once, and never, graded 1-5. Family type was categorised in four ways: 1) two-parent and single parent. Two parents comprised of couples who were legally married and those who were living together in a consensual union whereas single parents comprised never married, widowed, divorced, and separated mother or father. 2) two-parent (monogamous), two-parent (polygynous), and single parent 3) two-parent, single father, and single mother 4) two-parent, never married, widowed, divorced, and separated
DOI: 10.5281/zenodo.6127746
title: Family Type, Mental and Physical Health of in-school Female Adolescents in Ado-Ekiti, Nigeria

description: This dataset is based on a cross-sectional survey conducted in Ado-Ekiti, Nigeria among in-school female adolescents. The general objective of the study was to examine the influence of family type on the physical and mental health of in-school female adolescents. The data were obtained in 2017 from in-school female adolescents aged 10-18 years old. The respondents were randomly selected from four purposively selected secondary schools. Two schools were selected from the government-owned public schools and two from schools owned by individuals or private organizations. Nigeria operates a six-year secondary education; three years at the junior secondary school (JSS 1-3) and three years at the senior secondary (SS 1-3). The population for this study excluded students in SS3 because they had just concluded their terminal examination at the time of this study. Using the formula proposed by (Krejcie & Morgan, 1970) for deriving a small sample when the population is known, a sample size of 383 was derived from a population of 1656 female students in the four schools. With 10% added to adjust for non-response, a total of 421 students were involved in the study. The number of respondents allocated to each school was proportional to the size of the female students' population in each school. In each school, respondents were assigned to classes proportional to the size, and the particular respondents were identified using a random number. Data were collected with a self-administered structured questionnaire which was piloted before the actual survey. The data is saved in Stata format. A scale for measuring self-reported mental well was designed using questions adapted from Ross, Mirowsky, & Goldsteen (1990) and (Langton & Berger, 2011). The scale reliability coefficient was 0.85. The students were asked to state how often they experience 22 conditions such as feeling sad, discouraged, lonely, hopeless, worthless, wishing you were dead, having trouble concentrating, having difficulty sleeping, crying, and worried among others. Physical health was measured using a scale generated with questions adapted from (Langton & Berger, 2011; Ross et al., 1990). The students were asked to state the frequency of experiencing seven conditions in the month before the survey: feeling sick, tired, dizzy, having chest pain, a headache, muscle or joint pain, and stomach ache. The response options were every day, more than two times, two times, once, and never, graded 1-5. Family type was categorised in four ways: 1) two-parent and single parent. Two parents comprised of couples who were legally married and those who were living together in a consensual union whereas single parents comprised never married, widowed, divorced, and separated mother or father. 2) two-parent (monogamous), two-parent (polygynous), and single parent 3) two-parent, single father, and single mother 4) two-parent, never married, widowed, divorced, and separated