cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21499071.v4
title: Example datasets for singleCellHaystack GitHub vignettes (2022)

description: Example single-cell and spatial transcriptomics/genomics datasets for use in the vignettes of SinglCellHaystack on GitHub. These are for the updated, continuous version of singleCellHaystack, made publis in 2022.
DOI: 10.5281/zenodo.7278440
title: Data set: Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage

description: This dataset was produced as a part of a research MSc thesis project, “<em>Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage</em><em>” </em>published by the KU Leuven in joint cooperation with Europeana. The dataset contains the data from the Europeana API call, graphs created form the data and the code needed to collect the CH metadata from Europeana digital collections which was used to evaluate the policy aims used in the study. Within this repository one will find the code scripts used to make the API calls, three Raw data files and two cleaned data spreadsheets with graphs used in the published revised research thesis Links to the research produced with this dataset and the Original Thesis published by the KU Leuven can be found below. Research Report: Morgenstern, Paul Simon. (2022). Using Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage. Zenodo. https://doi.org/10.5281/zenodo.7278645 Thesis: Morgenstern, P., Truyen, F., & Nyi Nyi Htun, ’. (2022). Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage. KU Leuven. Faculteit Wetenschappen.
DOI: 10.5281/zenodo.7278439
title: Data set: Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage

description: This dataset was produced as a part of a research MSc thesis project, “<em>Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage</em><em>” </em>published by the KU Leuven in joint cooperation with Europeana. The dataset contains the data from the Europeana API call, graphs created form the data and the code needed to collect the CH metadata from Europeana digital collections which was used to evaluate the policy aims used in the study. Within this repository one will find the code scripts used to make the API calls, three Raw data files and two cleaned data spreadsheets with graphs used in the published revised research thesis Links to the research produced with this dataset and the Original Thesis published by the KU Leuven can be found below. Research Report: Morgenstern, Paul Simon. (2022). Using Europeana Metadata to Analyse The EU's Policy Effectiveness in Digitising European Heritage. Zenodo. https://doi.org/10.5281/zenodo.7278645 Thesis: Morgenstern, P., Truyen, F., & Nyi Nyi Htun, ’. (2022). Using Europeana Metadata to Analyse The EU’s Policy Effectiveness in Digitising European Heritage. KU Leuven. Faculteit Wetenschappen.
DOI: 10.34740/kaggle/dsv/4445678
title: BBC News
DOI: 10.34740/kaggle/dsv/4445696
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.21326066
title: Identifying Structural Vector Autoregression via Leptokurtic Economic Shocks

description: We revisit the generalized method of moments (GMM) estimation of the non-Gaussian structural vector autoregressive (SVAR) model. It is shown that in the <i>n</i>-dimensional SVAR model, global and local identification of the contemporaneous impact matrix is achieved with as few as n2+n(n−1)/2 suitably selected moment conditions, when at least <i>n</i> – 1 of the structural errors are all leptokurtic (or platykurtic). We also relax the potentially problematic assumption of mutually independent structural errors in part of the previous literature to the requirement that the errors be mutually uncorrelated. Moreover, we assume the error term to be only serially uncorrelated, not independent in time, which allows for univariate conditional heteroscedasticity in its components. A small simulation experiment highlights the good properties of the estimator and the proposed moment selection procedure. The use of the methods is illustrated by means of an empirical application to the effect of a tax increase on U.S. gasoline consumption and carbon dioxide emissions.
DOI: 10.6084/m9.figshare.21326066.v2
title: Identifying Structural Vector Autoregression via Leptokurtic Economic Shocks

description: We revisit the generalized method of moments (GMM) estimation of the non-Gaussian structural vector autoregressive (SVAR) model. It is shown that in the <i>n</i>-dimensional SVAR model, global and local identification of the contemporaneous impact matrix is achieved with as few as n2+n(n−1)/2 suitably selected moment conditions, when at least <i>n</i> – 1 of the structural errors are all leptokurtic (or platykurtic). We also relax the potentially problematic assumption of mutually independent structural errors in part of the previous literature to the requirement that the errors be mutually uncorrelated. Moreover, we assume the error term to be only serially uncorrelated, not independent in time, which allows for univariate conditional heteroscedasticity in its components. A small simulation experiment highlights the good properties of the estimator and the proposed moment selection procedure. The use of the methods is illustrated by means of an empirical application to the effect of a tax increase on U.S. gasoline consumption and carbon dioxide emissions.
DOI: 10.6084/m9.figshare.21326066.v1
title: Identifying Structural Vector Autoregression via Leptokurtic Economic Shocks

description: We revisit the generalized method of moments (GMM) estimation of the non-Gaussian structural vector autoregressive (SVAR) model. It is shown that in the <i>n</i>-dimensional SVAR model, global and local identification of the contemporaneous impact matrix is achieved with as few as n2+n(n−1)/2 suitably selected moment conditions, when at least <i>n</i> – 1 of the structural errors are all leptokurtic (or platykurtic). We also relax the potentially problematic assumption of mutually independent structural errors in part of the previous literature to the requirement that the errors be mutually uncorrelated. Moreover, we assume the error term to be only serially uncorrelated, not independent in time, which allows for univariate conditional heteroskedasticity in its components. A small simulation experiment highlights the good properties of the estimator and the proposed moment selection procedure. The use of the methods is illustrated by means of an empirical application to the effect of a tax increase on U.S. gasoline consumption and carbon dioxide emissions.
DOI: 10.6084/m9.figshare.21384062
title: Supplementary Tables 1-3 from Natural alleles at the <i>Doa</i> locus underpin evolutionary changes in <i>Drosophila</i> lifespan and fecundity

description: Supplementary Table 1: allele frequencies of significant SNPs in Doa as observed by Hoedjes et al, 2019. Supplementary Table 2: overview of the average allele frequencies observed per location for each of the four Doa candidate alleles. Supplementary Table 3: F1 crosses setup for assessing the correlation of the focal SNP identity with lifespan and fecundity.
DOI: 10.6084/m9.figshare.21384062.v1
title: Supplementary Tables 1-3 from Natural alleles at the <i>Doa</i> locus underpin evolutionary changes in <i>Drosophila</i> lifespan and fecundity

description: Supplementary Table 1: allele frequencies of significant SNPs in Doa as observed by Hoedjes et al, 2019. Supplementary Table 2: overview of the average allele frequencies observed per location for each of the four Doa candidate alleles. Supplementary Table 3: F1 crosses setup for assessing the correlation of the focal SNP identity with lifespan and fecundity.
DOI: 10.6084/m9.figshare.18852338
title: Lake ice Phenology across Tibetan Plateau (TPLIP)

description: This is a long-term lake ice phenology (LIP) dataset of 132 lakes across the Tibetan Plateau during 1978-2016. The dataset was extracted from long-term daily-scale lake surface temperature series simulated by modified air2water model, while the model was calibrated by MODIS land surface temperature product. The LIP temperature thresholds were determined via MOD10A1. The dataset could provide information for long term hydrothermal change analysis, lake-atmosphere interaction of lakes across the Tibetan Plateau.
DOI: 10.6084/m9.figshare.21499236
title: COVID-19 nucleic acid test sites data of Shenzhen

description: Our research obtained real-time information on nucleic acid testing sites through this project website (https://hsdyjc.newhealth.com.cn/wh5/#/). We collected nucleic acid test site status information 24 hours a day for 7 days from 24 October 2022 to 30 October 2022, with no Chinese holidays, to avoid the impact of holidays on the busyness of the tests. We have published the source data collected and the results of the analysis to facilitate further exploration by researchers interested in what we are studying. Each test site has a very large number of real-time statuses, and we filtered out a few pieces of information needed for the study objectives to be retained. This research has designed a specific process to deal with complex data structures, including the following steps: 1. Data collection. Data is logged hourly using the Python program's request library for nucleic acid test site data; 2. Logging the data. After obtaining the accessed data, the data is presented in json format and we save the required information in csv format; 3. Cleaning the data. We use the pandas library to filter the data and keep the ones that have data distribution within 24 hours; 4. Processing the data. The status of the data represents the busy status of the nucleic acid testing sites, where 1 represents rest (closed), 2 represents open (queue less than 15 minutes), 3 represents busy (queue 15-30 minutes) and 4 represents congested (queue greater than 30 minutes). The pandas library was used to filter the percentage of statuses 3 and 4 in the 24 hour period to represent the percentage of busy nucleic acid detection sites.
DOI: 10.6073/pasta/fa7237f213bb2b9888f1861e4ecbfe93
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.25910/5cc7cd40fca8e
title: Indexed reference databases for KMA and CCMetagen

description: Our project aims to develop bioinformatics pipelines to analyse microbiome samples. Two indexed databases are provided: 1 - NCBI nucleotide collection 2 - RefSeq database of bacterial and fungal genomes
DOI: 10.5281/zenodo.7254301
title: Raw time series of GNSS sites used in the manuscript submitted to JGR-solid earth (2022JB025725)

description: These are the raw GNSS time series files (in .pos format) we used to derive the velocity solution in the manuscript submitted to JGR-solid earth (2022JB025725). These data are not allowed to use without permission.
DOI: 10.5281/zenodo.7254300
title: Raw time series of GNSS sites used in the manuscript submitted to JGR-solid earth (2022JB025725)

description: These are the raw GNSS time series files (in .pos format) we used to derive the velocity solution in the manuscript submitted to JGR-solid earth (2022JB025725). These data are not allowed to use without permission.
DOI: 10.34740/kaggle/dsv/4445865
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.25952/ftvh-qz03
title: The response of flow-dependent ecosystem services to climate change within the riverine landscapes in Koshi River Basin, Nepal

description: My PhD on the response of flow-dependent ecosystem services to climate change in the Koshi River Basin, Nepal. The data are river network, watersheds, soil, landuse, Digital elevation model (DEM), climate scenarios data, hydrological model outputs etc.  My datasets are mostly GIS shape files and raster images. Basic data I obtained from International Centre for Integrated Mountain Development (ICIMOD) in Kathmandu, Nepal. And most of the datasets I generated here at UNE during my PhD research.
description: My PhD on the response of flow-dependent ecosystem services to climate change in the Koshi River Basin, Nepal. The data are river network, watersheds, soil, landuse, Digital elevation model (DEM), climate scenarios data, hydrological model outputs etc.  My datasets are mostly GIS shape files and raster images. Basic data I obtained from International Centre for Integrated Mountain Development (ICIMOD) in Kathmandu, Nepal. And most of the datasets I generated here at UNE during my PhD research.
DOI: 10.6084/m9.figshare.21358017
title: Data underlying the manuscript: Self-mixing in microtubule-kinesin active fluid from nonuniform to uniform distribution of activity

description: This database presents the data used in the manuscript: Self-mixing in microtubule-kinesin active fluid from nonuniform to uniform distribution of activity (Bate et al. <em>Nat Commun</em> <strong>13</strong>, 6573 [2022]). This database contains two sets of data: (1) images of tracer particles suspended in active-inactive fluid systems and (2) images of fluorescein suspended in active-inactive fluid systems. Each data set is provided with associated analysis script for demonstrating the process of extracting mixing-related parameters from the data, such as interface progression exponents, interface progression coefficients and mixing times. <strong>The first data set</strong> contains 4 files: Data1.zip, analysis1.m, Mask.tif, and Tracking.mat. Data1.zip contains 1 hour of frame-by-frame tracer data from an individual experiment in the [cATP] sweep in Fig. 2c of the manuscript, for the sample with 5 mM caged ATP. The tracers are tracked using the tracking software developed by Ouellette et al. (Experiments in Fluids <strong>40</strong>, 301-313 [2005]) and the tracking results are output in Tracking.mat, which can be subsequently imported to MATLAB by running analysis1.m (requiring MATLAB Curve Fitting Toolbox, Image Processing Toolbox and Parallel Computing Toolbox). The script outputs the interface progression exponents and interface progression coefficient of this data set. The script also allows for analyzing a specific region of interest defined as the black pixels in Mask.tif. In this analysis, the region of interest is set to be the entire image. <strong>The second data set</strong> contains 2 files: Data2.zip and analysis2.m. Data2.zip contains 1 hour of frame-by-frame fluorescein data from an individual experiment in the fluorescein sweep in Fig. 5 of the manuscript. The sample contains 3.2 mM caged ATP, 3 µM caged fluorescein, 80 nM K365 dimers and the sample height is 100 µm. This experiment is designed to probe the mixing time of suspended fluorescein in the active fluid system. To extract the mixing time, Data2.zip needs to be unzipped and analysis2.m needs to be run in MATLAB (requiring MATLAB Curve Fitting Toolbox and Image Processing Toolbox), which will read the fluorescein images to analyze the multiscale norm and output the mixing time.
DOI: 10.3886/e177501
title: Child Care and Family Processes: Bi-Directional Relations between Child Care Quality, Home Environments, and Maternal Depression

description: <b>Analytic files for:<br><br></b><b>Hart, E. R., Vandell, D. L., Whitaker, A. A., & Watts, T. W. (2022). Child care and family processes: Bi-directional </b><b>relations between child care quality, home environments, and maternal depression. </b><b>Child Development.<br><br></b>The attached zip file contains the analytic files necessary to replicate the results presented in the main manuscript and supplemental file. The analyses used data from the Study of Early Child Care and Youth Development (SECCYD). This data is available upon request and approval from ICPSR: https://www.icpsr.umich.edu/web/ICPSR/series/233. The README file contains orienting information about the analytic files.<br><b><br></b>
DOI: 10.3886/e177501v1
title: Child Care and Family Processes: Bi-Directional Relations between Child Care Quality, Home Environments, and Maternal Depression

description: <b>Analytic files for:<br><br></b><b>Hart, E. R., Vandell, D. L., Whitaker, A. A., & Watts, T. W. (2022). Child care and family processes: Bi-directional </b><b>relations between child care quality, home environments, and maternal depression. </b><b>Child Development.<br><br></b>The attached zip file contains the analytic files necessary to replicate the results presented in the main manuscript and supplemental file. The analyses used data from the Study of Early Child Care and Youth Development (SECCYD). This data is available upon request and approval from ICPSR: https://www.icpsr.umich.edu/web/ICPSR/series/233. The README file contains orienting information about the analytic files.<br><b><br></b>
DOI: 10.3886/e177501v2
title: Child Care and Family Processes: Bi-Directional Relations between Child Care Quality, Home Environments, and Maternal Depression

description: <b>Analytic files for:<br><br></b><b>Hart, E. R., Vandell, D. L., Whitaker, A. A., & Watts, T. W. (2022). Child care and family processes: Bi-directional </b><b>relations between child care quality, home environments, and maternal depression. </b><b>Child Development.<br><br></b>The attached zip file contains the analytic files necessary to replicate the results presented in the main manuscript and supplemental file. The analyses used data from the Study of Early Child Care and Youth Development (SECCYD). This data is available upon request and approval from ICPSR: https://www.icpsr.umich.edu/web/ICPSR/series/233. The README file contains orienting information about the analytic files.<br><b><br></b>
DOI: 10.17632/jb2v54vt7d.1
title: Data and Code for "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices"

description: Data and code used for the empirical analysis in the article "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices" which is published at the Journal of Financial Economics.

We construct a time-series of total assets associated with prospectus primary benchmarks and with Morningstar categories using the Open-end Mutual Funds Database obtained form Morningstar Direct. Our sample includes all US actively managed equity mutual funds from March 1980 to May 2021. For each fund in every month of the sample we collect data on the total assets across all share classes, the primary prospectus benchmark, the FTSE-Russell benchmark (assigned by Morningstar), and the Morningstar category. Based on the Morningstar category, we group funds into three categories: cap-style, industry-sector, and international. For each of the nine cap-style segments, we aggregate fund benchmarks from six leading index providers (CRSP, Dow Jones, Morningstar, MSCI, Russell, and Standard & Poor’s). For the empirical analysis in Section 8, we also use the time-series of daily returns of the State Street SPDR ETFs that track the nine cap-style segments (SPY, SPYV, SPYG, MDY, MDYV, MDYG, SLY, SLYV, SLYG) since the inception of each ETF (SPY, February 1993; MDY, May 1995; SPYV, SPYG, SLYV, SLYG, October 2000; SLY, MDYV, MDYG, November 2005).

For more details, see Appendix A of the article.
DOI: 10.17632/jb2v54vt7d.2
title: Data and Code for "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices"

description: Data and code used for the empirical analysis in the article "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices" which is published at the Journal of Financial Economics.

We construct a time-series of total assets associated with prospectus primary benchmarks and with Morningstar categories using the Open-end Mutual Funds Database obtained form Morningstar Direct. Our sample includes all US actively managed equity mutual funds from March 1980 to May 2021. For each fund in every month of the sample we collect data on the total assets across all share classes, the primary prospectus benchmark, the FTSE-Russell benchmark (assigned by Morningstar), and the Morningstar category. Based on the Morningstar category, we group funds into three categories: cap-style, industry-sector, and international. For each of the nine cap-style segments, we aggregate fund benchmarks from six leading index providers (CRSP, Dow Jones, Morningstar, MSCI, Russell, and Standard & Poor’s). For the empirical analysis in Section 8, we also use the time-series of daily returns of the State Street SPDR ETFs that track the nine cap-style segments (SPY, SPYV, SPYG, MDY, MDYV, MDYG, SLY, SLYV, SLYG) since the inception of each ETF (SPY, February 1993; MDY, May 1995; SPYV, SPYG, SLYV, SLYG, October 2000; SLY, MDYV, MDYG, November 2005).

For more details, see Appendix A of the article.
DOI: 10.17632/hgs3n3myd3.1
title: Bilirubin and EHR data for newborns

description: Newborn more than 35 weeks bilirubin and electronic health record data
DOI: 10.17632/t2f4d852z6.1
title: Improved Cookstoves Adoption_Dundori Forest Adjacent Community_222

description: The dataset captures data on adopting improved cookstoves in the Dundori Forest adjacent community. It captures data on the factors that affect the adoption of improved cookstoves. These include household characteristics, cooking stove characteristics, market characteristics, and social, economic, institutional, and cultural factors. The study tests if these factors affect the adoption of improved cook stoves in the community.
DOI: 10.17632/26jhd7ps3v.1
title: Random Forest change classification and automatic feature selection for mapping changes from grasslands to arable lands in the Czech republic

description: This dataset was created in order to demonstrate mapping changes from grasslands to arable lands with help of new implemented algorithm based on random forest variable importance matrics (MDA and MDG). There are two datasets. Imagery data and training data in order to train random forest classifier.
Imagery data contain time series Leaf Area Index dataset composed of 23 images from Sentinel 2 satellite. Training data contain point shapefile that serves as reference dataset for training and validation purpose.
Study area is located in the Czech republic with high occurence of changes from grasslands to arable lands.
DOI: 10.17632/rshv4pd2rt.1
title: Dataset for A loop-mediated isothermal amplification assay to detect Bacteroidales and assess risk of fecal contamination

description: We developed a rapid risk-assessment assay for fecal contamination by targeting Bacteroidales using loop-mediated isothermal amplification (LAMP). The assay allows for naked-eye observation of reactions with as few as ~8 copies of Bacteroidales per cm2 of the surface in the field. We evaluated this assay with complex field samples as well as on-site field studies. In this dataset, we've included the raw and processed data files associated with the research project.