cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21979/n9/ng6utd
title: Microneedle Coupled Epidermal Sensor for Multiplexed Electrochemical Detection of Kidney Disease Biomarkers

description: Paper Publication
DOI: 10.6084/m9.figshare.24064218
title: Mask COVID

description: Result of statistical analysis in this manuscript
DOI: 10.6084/m9.figshare.24064218.v1
title: Mask COVID

description: Result of statistical analysis in this manuscript
DOI: 10.5281/zenodo.8301668
title: ESM-1v predictions for human uniprot IDs

description: Pathogenicity predictions of single amino acid substitutions calculated using the ESM-1v language model.
description: {"references": ["Meier J, Rao R, Verkuil R, Liu J, Sercu T & Rives A (2021) Language models enable zero-shot prediction of the effects of mutations on protein function. bioRxiv: 450648 doi:10.1101/2021.07.09.450648 [PREPRINT]"]}
DOI: 10.5281/zenodo.8301667
title: ESM-1v predictions for human uniprot IDs

description: Pathogenicity predictions of single amino acid substitutions calculated using the ESM-1v language model.
description: {"references": ["Meier J, Rao R, Verkuil R, Liu J, Sercu T & Rives A (2021) Language models enable zero-shot prediction of the effects of mutations on protein function. bioRxiv: 450648 doi:10.1101/2021.07.09.450648 [PREPRINT]"]}
DOI: 10.25442/hku.23995869
title: Supporting Data for "Histone H3 Lysine 9 Di-methylation Mediates Transcription Regulation on Damaged Chromatin"

description: Supporting Data for the Thesis Entitled "Histone H3 Lysine 9 Di-methylation Mediates Transcription Regulation on Damaged Chromatin"Cells respond to DNA double-strand breaks (DSBs) by inducing transcriptional silencing <i>in cis </i>on the damaged chromatin, which is critical for efficient repair processes. Here we identify H3K9me2 as a novel mediator of transcription silencing on damaged chromatin and present PHF8 as a histone demethylase that promotes timely transcription resumption following DSB repair. This supporting data contains raw data in addition to processed data illustrated in the thesis. The raw data consists of quantification files, immunofluorescence images, western blot images, and RT-qPCR data and timelapse photos.
DOI: 10.25442/hku.23995869.v1
title: Supporting Data for "Histone H3 Lysine 9 Di-methylation Mediates Transcription Regulation on Damaged Chromatin"

description: Supporting Data for the Thesis Entitled "Histone H3 Lysine 9 Di-methylation Mediates Transcription Regulation on Damaged Chromatin"Cells respond to DNA double-strand breaks (DSBs) by inducing transcriptional silencing <i>in cis </i>on the damaged chromatin, which is critical for efficient repair processes. Here we identify H3K9me2 as a novel mediator of transcription silencing on damaged chromatin and present PHF8 as a histone demethylase that promotes timely transcription resumption following DSB repair. This supporting data contains raw data in addition to processed data illustrated in the thesis. The raw data consists of quantification files, immunofluorescence images, western blot images, and RT-qPCR data and timelapse photos.
DOI: 10.5281/zenodo.8290770
title: Lichens as bioindicators of monitoring of the selective air pollution, Zaabrze (Poland) - chromatograms of GC-MS

description: Detailed geochemical analyses were performed on 21 powdered samples after their extraction using ultrasound Elmasonic Easy with a dichloromethane (DCM) and methanol (MeOH) mixture (1:1 vol). Extracts were separated into aliphatic-, aromatic-, semipolar- and polar fractions by column chromatography. Silica-gel was first activated at 120 °C for 24 h, cooled, and poured into Pasteur pipettes. Foour eluents were used for fraction collection, namely, n-pentane for the aliphatic fraction, n-pentane and DCM (7:3) for the aromatic fraction, acetone and DCM (1:1) for the semipolar fraction, and DCM and methanol (1:1) for the polar fraction. The semipolar - and polar fraction was derivatized with MTBSTFA (N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide). Samples were derivatized with MTBSTFA dissolved in super-dehydrated n-hexane, and heated at 70 °C for 3 h. The composition of the separated extracts was analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent gas chromatograph 7890A coupled with a mass spectrometer 5975C XL MDS. A DB-5UI column was applied (60 m × 250 μm id, 0.25 μm stationary phase film), with He (purity of 99.9999%) as a carrier gas. The experimental conditions were as follows: injection volume of 1 μL; split/splitless mode; initial temperature of 45 ◦C (isothermal for 1 min); heating rate up to 100 ◦C at 20 ◦C/min, then 3 ◦C/min to 280 ◦C for 66.25 min. The mass spectrometer worked in electron ionization (EI) mode at 70 eV in full scan mode and scanned from 50 to 650 Da.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”
DOI: 10.5281/zenodo.8290771
title: Lichens as bioindicators of monitoring of the selective air pollution, Zaabrze (Poland) - chromatograms of GC-MS

description: Detailed geochemical analyses were performed on 21 powdered samples after their extraction using ultrasound Elmasonic Easy with a dichloromethane (DCM) and methanol (MeOH) mixture (1:1 vol). Extracts were separated into aliphatic-, aromatic-, semipolar- and polar fractions by column chromatography. Silica-gel was first activated at 120 °C for 24 h, cooled, and poured into Pasteur pipettes. Foour eluents were used for fraction collection, namely, n-pentane for the aliphatic fraction, n-pentane and DCM (7:3) for the aromatic fraction, acetone and DCM (1:1) for the semipolar fraction, and DCM and methanol (1:1) for the polar fraction. The semipolar - and polar fraction was derivatized with MTBSTFA (N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide). Samples were derivatized with MTBSTFA dissolved in super-dehydrated n-hexane, and heated at 70 °C for 3 h. The composition of the separated extracts was analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent gas chromatograph 7890A coupled with a mass spectrometer 5975C XL MDS. A DB-5UI column was applied (60 m × 250 μm id, 0.25 μm stationary phase film), with He (purity of 99.9999%) as a carrier gas. The experimental conditions were as follows: injection volume of 1.5 μL; split/splitless mode; initial temperature of 45 ◦C (isothermal for 1 min); heating rate up to 100 ◦C at 20 ◦C/min, then 3 ◦C/min to 280 ◦C for 66.25 min. The mass spectrometer worked in electron ionization (EI) mode at 70 eV in full scan mode and scanned from 50 to 650 Da.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”
DOI: 10.5281/zenodo.8300716
title: Lichens as bioindicators of monitoring of the selective air pollution, Zaabrze (Poland) - chromatograms of GC-MS

description: Detailed geochemical analyses were performed on 21 powdered samples after their extraction using ultrasound Elmasonic Easy with a dichloromethane (DCM) and methanol (MeOH) mixture (1:1 vol). Extracts were separated into aliphatic-, aromatic-, semipolar- and polar fractions by column chromatography. Silica-gel was first activated at 120 °C for 24 h, cooled, and poured into Pasteur pipettes. Foour eluents were used for fraction collection, namely, n-pentane for the aliphatic fraction, n-pentane and DCM (7:3) for the aromatic fraction, acetone and DCM (1:1) for the semipolar fraction, and DCM and methanol (1:1) for the polar fraction. The semipolar - and polar fraction was derivatized with MTBSTFA (N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide). Samples were derivatized with MTBSTFA dissolved in super-dehydrated n-hexane, and heated at 70 °C for 3 h. The composition of the separated extracts was analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent gas chromatograph 7890A coupled with a mass spectrometer 5975C XL MDS. A DB-5UI column was applied (60 m × 250 μm id, 0.25 μm stationary phase film), with He (purity of 99.9999%) as a carrier gas. The experimental conditions were as follows: injection volume of 1 μL; split/splitless mode; initial temperature of 45 ◦C (isothermal for 1 min); heating rate up to 100 ◦C at 20 ◦C/min, then 3 ◦C/min to 280 ◦C for 66.25 min. The mass spectrometer worked in electron ionization (EI) mode at 70 eV in full scan mode and scanned from 50 to 650 Da.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”
DOI: 10.5281/zenodo.8304484
title: Lichens as bioindicators of monitoring of the selective air pollution, Zaabrze (Poland) - chromatograms of GC-MS

description: Detailed geochemical analyses were performed on 21 powdered samples after their extraction using ultrasound Elmasonic Easy with a dichloromethane (DCM) and methanol (MeOH) mixture (1:1 vol). Extracts were separated into aliphatic-, aromatic-, semipolar- and polar fractions by column chromatography. Silica-gel was first activated at 120 °C for 24 h, cooled, and poured into Pasteur pipettes. Foour eluents were used for fraction collection, namely, n-pentane for the aliphatic fraction, n-pentane and DCM (7:3) for the aromatic fraction, acetone and DCM (1:1) for the semipolar fraction, and DCM and methanol (1:1) for the polar fraction. The semipolar - and polar fraction was derivatized with MTBSTFA (N-tertbutyldimethylsilyl-N-methyltrifluoroacetamide). Samples were derivatized with MTBSTFA dissolved in super-dehydrated n-hexane, and heated at 70 °C for 3 h. The composition of the separated extracts was analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent gas chromatograph 7890A coupled with a mass spectrometer 5975C XL MDS. A DB-5UI column was applied (60 m × 250 μm id, 0.25 μm stationary phase film), with He (purity of 99.9999%) as a carrier gas. The experimental conditions were as follows: injection volume of 1 μL; split/splitless mode; initial temperature of 45 ◦C (isothermal for 1 min); heating rate up to 100 ◦C at 20 ◦C/min, then 3 ◦C/min to 280 ◦C for 66.25 min. The mass spectrometer worked in electron ionization (EI) mode at 70 eV in full scan mode and scanned from 50 to 650 Da.<br> Dr Ewa Szram, employed at the Institute of Earth Sciences, Faculty of Natural Sciences, Silesian University in Katowice, carried out the project. This research was funded by the National Science Centre, Poland MINIATURA-6 2022/06/X/ST10/00338 “Lichens as bioindicators of monitoring of the selective air pollution”
DOI: 10.5281/zenodo.8286215
title: 统计年鉴

description: QACs
DOI: 10.5281/zenodo.8302713
title: 统计年鉴

description: QACs
DOI: 10.34740/kaggle/dsv/6393412
title: AutoXGB
DOI: 10.5281/zenodo.8304490
title: Sensorimotor Control in Micgravity - Datasets

description: Datasets generated in spectral analysis and model parameter estimation.
DOI: 10.5281/zenodo.8304489
title: Sensorimotor Control in Micgravity - Datasets

description: Datasets generated in spectral analysis and model parameter estimation.
DOI: 10.34760/64f052e99272c
title: Samen Kwetsbaar, Samen Sterk
title: IDENTIFYING AND IMPROVING TAILORED CARE INTERVENTIONS FOR VULNERABLE PREGNANT WOMEN

description: The project Together Vulnerable, Together Strong focuses on birth care interventions developed for vulnerable pregnant women. The aim of the project is to obtain an overview of the interventions used in the north of The Netherlands (Groningen, Friesland and Drenthe), the degree of implementation of these interventions, and to obtain information about the obstructing and promoting factors which care providers and vulnerable pregnant women experience in relation to the interventions. In addition, we will improve implementation of an intervention in the specific local context in two Maternity Care Collaborations (VSV).
description: Mixed methods design using qualitative, quantitative and participatory action research methodology.

Cohort type
Study

Design
Cross-sectional

Design description
Mixed methods design using qualitative, quantitative and participatory action research methodology.

Collection type
Prospective

Start/End year
2019 - 2023

Population
Netherlands (the)

Regions
Drenthe, Friesland, Groningen

Number of participants
275

Age group at inclusion
Young adult (18-24 years), Adult (25-44 years), Middle-aged (45-64 years)
description: Data categories: 
Other
Survey data

Areas of information:
Socio-demographic and economic characteristics
Non-pharmacological interventions
Lifestyle and behaviours
Birth, pregnancy and reproductive health history
Life events, life plans, beliefs and values
Social environment and relationships
DOI: 10.5281/zenodo.8265842
title: ELITE emissivity: FY-4A/AGRI hourly 4km NBE (2018)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the 4km hourly clear-sky narrowband emissivity (NBE) dataset derived by the iTES algorithm (Liu et al. 2022) from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The bias and RMSE of the retrieved hourly NBE are less than 0.01 and 0.02, respectively, compared with the latest MYD21 LSE. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively. This is the ELITE FY-4A/AGRI clear-sky NBE product in 2018. Please <strong><em>click here</em></strong> to download the ELITE NBE product in 2019. <strong>Dataset Characteristics:</strong> Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W) Temporal Coverage: 2018 (starting from Apr.) Spatial Resolution: 4 km (subsatellite point) Temporal Resolution: one hour Data Format: HDF Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Liu, W., Shi, J., Liang, S., Zhou, S., & Cheng, J. (2022). Simultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager. International Journal of Digital Earth, 15, 198-225 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8265841
title: ELITE emissivity: FY-4A/AGRI hourly 4km NBE (2018)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the 4km hourly clear-sky narrowband emissivity (NBE) dataset derived by the iTES algorithm (Liu et al. 2022) from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The bias and RMSE of the retrieved hourly NBE are less than 0.01 and 0.02, respectively, compared with the latest MYD21 LSE. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively. This is the ELITE FY-4A/AGRI clear-sky NBE product in 2018. Please <strong><em>click here</em></strong> to download the ELITE NBE product in 2019. <strong>Dataset Characteristics:</strong> Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W) Temporal Coverage: 2018 (starting from Apr.) Spatial Resolution: 4 km (subsatellite point) Temporal Resolution: one hour Data Format: HDF Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Liu, W., Shi, J., Liang, S., Zhou, S., & Cheng, J. (2022). Simultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager. International Journal of Digital Earth, 15, 198-225 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.6073/pasta/c50d70814e94266851d13cfdde18b6f6
title: Lake Mendota Carbon and Greenhouse Gas Measurements at North Temperate Lakes LTER 2016

description: This original dataset contains carbon and greenhouse gas (GHG) data collected in Lake Mendota during the summer of 2016. Data were collected between 15 April 2016 and 14 November 2016 on both Lake Mendota and its surrounding streamsâ€”four major inflows and the primary outflow of Lake Mendota. The dataset is comprised of four linked tables, corresponding to carbon and GHG measurements on Lake Mendota (lake_weekly_carbon_ghg), weekly physico-chemical sonde casts on Lake Mendota (lake_weekly_ysi), ebullition rate estimates on Lake Mendota (lake_weekly_ebullition), and carbon and physico-chemical data from the four major inflows and primary outflow of Lake Mendota (stream_weekly_carbon_ysi). These data were used to explore the relationship between organic carbon dynamics and greenhouse gas production on a eutrophic lake. From these data, it is possible to estimate daily oxygen, methane, and carbon dioxide flux on Lake Mendota during the study time period. Additional methods and applications of this data can be found in J.A. Harts Masters Thesis, University of Wisconsin-Madison Center for Limnology, May 2017.
DOI: 10.6084/m9.figshare.12323747.v1
title: Velocity autocorrelation function in anisotropic MHD turbulence

description: This is ASCII data for Figure 2 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence". The time values are provided with Figure 1.<br><br>The figure shows the evolution of the velocity autocorrelation function<br>for three simulations (HNOVIS: incompressible isotropic hydrodynamic<br>turbulence, ANOVIS0: isotropic magnetohydrodynamic turbulence, and<br>ANOVIS3: anisotropic magnetohydrodynamic turbulence). The velocity<br>autocorrelation function for the anisotropic MHD simulation ANOVIS3 is<br>separated into velocities in the direction parallel and perpendicular to<br>the mean magnetic field. Each curve is produced from the average of<br>at least 4 independent initial times.<br>
DOI: 10.17632/3hfzp6vwkm.1
title: Contrast Enhancement Evaluation Database (CEED2016)

description: The CEED2016 is newly developed image database dedicated for contrast enhancement evaluation. The database contains 30 original color images and 180 enhanced images obtained using six different CE methods. The database is built with our own captured images and some common pictures used by the image processing community. The subjective experiments were performed at Universite Paris 13 at Laboratoire de Traitement et Transport de l’Information (L2TI). The images were displayed on a calibrated LCD monitor in a dark room environment to avoid any problem with the illumination adaptation of background. Twenty-three observers, 10 experts, and 13 non-experts, from different age groups, gender, and background participated in the experiments. To obtain the ranking scores, we adopted a balanced pairwise preference based ranking protocol. The interface for the subjective experiments was developed in Matlab, where, for each original image, we randomly displayed all possible pair combinations of enhanced images to the observers. We also showed the original image in the center of the screen (a pair of enhanced images are to its left and right), to facilitate the analysis of after effects of CE. The observers had the choice to rank equally similar stimuli. In the PC ranking protocol, each enhanced image is compared with the others in pairs and ranking results are stored in a preference matrix.
DOI: 10.17632/56n2yxgpcf.2
title: Data for: Liquidity, time-varying betas and anomalies. Is the high trading activity enhancing the validity of the CAPM in the UK equity market?

description: Using all stocks listed in the London Stock Exchange for the period from January 1989 to December 2018, the dataset comprises the following series: 1. Annual returns for 20 asset growth portfolios, following Fama and French (1993) methodology. 2. Annual returns for 25 portfolios size-book to market equity, following Fama and French (1993) methodology. 3. Annual returns for 62 industry portfolios, using two-digit SIC codes. 4. Fama and French (1993) factors for their three-factor model (RM, SMB and HML). 5. Fama and French (2015) factors for their five-factor model (RM, SMB, HML, RMW, and CMA). 6. Variation of the Amihid illiquidy measure for the London Stock Exchange, following Amihud (2002) methodology. 7. Three-month interest rate of the Treasury Bill for the United Kingdom, as provided by the OECD database. We have produced these series using the following data from Thomson Reuters Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) tax rate (WC08346 series), (vii) primary SIC codes, (viii) turnover by volume (VO series), and (ix) the market price (P series). Following Griffin et al. (2010), we use the generic rules provided by the authors for excluding non-common equity securities from Datastream data. REFERENCES: Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5, 31–56. Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.
DOI: 10.17632/8vyvrkd7tk.1
title: Order of Addtion Experiments: five designs and three datasets

description: 1. Experimental Designs for order of addition experiments. For details, see Voelkel, J. G. (2017). The design of order-of-addition experiments. arXiv:1701.02786. (Revised version to appear in Journal of Quality Technology). 2. Data sets from 3 order of addition experiments. In these experiments, abbreviations are used to represent the components. The response is log(LSV/HSV), where L and H are Low and High, SV=shear viscosity of the paint being tested. For more information see the anticipated article in 2019 Quality Engineering, by Voelkel and Gallagher.