cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8264220
title: 2021 National Composite Index for Family Planning (NCIFP): Data File and Questionnaire

description: The National Composite Index for Family Planning (NCIFP) was developed after 2012 to support FP2020’s efforts to improve the enabling policy and program environment for family planning, by examining the levels and types of effort for a range of family planning policy and programmatic indicators, including indicators to measure rights-based programming. This data file includes the final, cleaned data for the 2021 round of the NCIFP, as well as a codebook identifying the variable names with their corresponding questions. The PDF file is the full questionnaire for the 2021 round of the NCIFP, in English. A paper by Karen Hardee, Rebecca Rosenberg, John Ross, and Imelda Zosa-Feranil using these data is under consideration for publication in Gates Open Research.
DOI: 10.5281/zenodo.8264219
title: 2021 National Composite Index for Family Planning (NCIFP): Data File and Questionnaire

description: The National Composite Index for Family Planning (NCIFP) was developed after 2012 to support FP2020’s efforts to improve the enabling policy and program environment for family planning, by examining the levels and types of effort for a range of family planning policy and programmatic indicators, including indicators to measure rights-based programming. This data file includes the final, cleaned data for the 2021 round of the NCIFP, as well as a codebook identifying the variable names with their corresponding questions. The PDF file is the full questionnaire for the 2021 round of the NCIFP, in English. A paper by Karen Hardee, Rebecca Rosenberg, John Ross, and Imelda Zosa-Feranil using these data is under consideration for publication in Gates Open Research.
DOI: 10.5519/qd.i7s1knqh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (60 records)
DOI: 10.34740/kaggle/dsv/6325783
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.23992656
title: ARPP19_FAM122A_data

description: Data for supporting manuscript
DOI: 10.6084/m9.figshare.23992656.v1
title: ARPP19_FAM122A_data

description: Data for supporting manuscript
DOI: 10.5281/zenodo.8264209
title: The second part of all non-negative sample nanopore signals in dataset D3

description: The second part of all non-negative sample nanopore signals in dataset D3
DOI: 10.6084/m9.figshare.23992650
title: Gene catalog and abundances -- I4 metagenomics and metatranscriptomics

description: Gene catalog from astronauts before, during, and after flight. Contains abundances of genes based on metagenomic and metatranscriptomic alignments. Annotations also included. Abundance data is stored as compressed .rds files.
DOI: 10.5281/zenodo.8264230
title: All DNA sequences in datasets D1-D7

description: All DNA sequences in datasets D1-D7.
DOI: 10.5066/p9x18f2h
title: Select structure observations, model results, and model input parameters for debris-flow runout model simulations of the 9 January 2018 Montecito debris-flow runout event

description: This dataset contains three comma separated value files that represent a combination of previously published structure observations and select model results at the location of each structure centroid from a separate previously published simulation study. -"buildings.csv" represents the merging of structure damage observations published in Kean et al. (2019) and structure locations from Open Street Map. Each row represents a different structure. -"model_parameters.csv" represents select model input parameters used in Barnhart et al. (2021). Each row represents a different simulation. -"model_results.csv" represents select model output from simulations described by Barnhart et al. (2021). There is a row for each structure present in each simulation. Column descriptions and processing steps are provided in the metadata.xml file.
DOI: 10.25828/ghr2-tf65
title: Agincourt Household Energy Panel 1992-2015
DOI: 10.5517/ccdc.csd.cc2d2kln
title: CCDC 2207001: Experimental Crystal Structure Determination

description: Related Article: Shivani Choudhary, Gayyur, Ruchir Kant, Nayan Ghosh|2023|J.Org.Chem.|88|10555|doi:10.1021/acs.joc.3c00568
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.cc2f4m9j
title: CCDC 2238767: Experimental Crystal Structure Determination

description: Related Article: Ya-Shi Zhao, Yuan-Qing Gu, Dan-Dan Zhang, Mei-Feng Ruan, Guo-Kai Liu|2023|J.Org.Chem.|88|10711|doi:10.1021/acs.joc.3c00773
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.cc2f4mt1
title: CCDC 2238783: Experimental Crystal Structure Determination

description: Related Article: Ya-Shi Zhao, Yuan-Qing Gu, Dan-Dan Zhang, Mei-Feng Ruan, Guo-Kai Liu|2023|J.Org.Chem.|88|10711|doi:10.1021/acs.joc.3c00773
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.22257433
title: The Multiple Origins of Ebola Disease Outbreaks (Datasets)

description: These files contain the data for the original article:The Multiple Origins of Ebola Disease OutbreaksBy Seth D. Judson MD, Vincent J. Munster PhDIf using these data please cite as: Seth D Judson, MD , Vincent J Munster, PhD, The Multiple Origins of Ebola Disease Outbreaks, The Journal of Infectious Diseases, 2023;, jiad352, https://doi.org/10.1093/infdis/jiad352<br>There are two Epi databases:-Index and Primary cases: contains the data for the earliest identified cases for each Ebola disease outbreak from 1976-2022-Ebola disease outbreaks: contains locations, cases/deaths, sequences, and epidemiologic factors for each outbreak from 1976-2022Phylogenetic data:Includes the whole genome sequences used in the manuscript, alignment files, and phylogenetic treeAdditional data are available in the supplementary material
DOI: 10.6084/m9.figshare.22257433.v3
title: The Multiple Origins of Ebola disease Outbreaks (Datasets)

description: These files contain the data for the original article:The Multiple Origins of Ebola disease OutbreaksBy Seth D. Judson MD, Vincent J. Munster PhD<br>Please contact the authors if you would like to use this data prior to publication: sethjudsonmd@gmail.com
DOI: 10.5281/zenodo.8264333
title: amazona_xantholora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8264332
title: amazona_xantholora_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263552
title: Statistical error estimation from residual statistics of multiple collocated datasets: Data from synthetic experiments

description: This archive contains the data used in the paper "How far can the statistical error estimation problem be closed by collocated data?" by A.Vogel and R.Menard (preprint available at: https://doi.org/10.5194/egusphere-2022-996) accepted for publication in Nonlinear Processes in Geophysics (NPG). The data refers to the synthetic experiments in Sect.5 of the paper which demonstrate the general ability to estimate statistical error covariances and cross-statistics from residual covariances, as well as the effects of inaccurate assumptions with respect to different setups. Further information on the data can be found in the README.txt file.
DOI: 10.5281/zenodo.8263551
title: Statistical error estimation from residual statistics of multiple collocated datasets: Data from synthetic experiments

description: This archive contains the data used in the paper "How far can the statistical error estimation problem be closed by collocated data?" by A.Vogel and R.Menard (preprint available at: https://doi.org/10.5194/egusphere-2022-996) accepted for publication in Nonlinear Processes in Geophysics (NPG). The data refers to the synthetic experiments in Sect.5 of the paper which demonstrate the general ability to estimate statistical error covariances and cross-statistics from residual covariances, as well as the effects of inaccurate assumptions with respect to different setups. Further information on the data can be found in the README.txt file.
DOI: 10.22003/xfel.eu-data-004396-00
title: Resonant coherent diffractive imaging of free-flying sea salt aerosol particles
DOI: 10.22003/xfel.eu-data-005976-00
title: Pump-probe experiment and coherent control of dielectric
DOI: 10.5517/ccdc.csd.cc2f6hw1
title: CCDC 2240583: Experimental Crystal Structure Determination

description: Related Article: Ya-Shi Zhao, Yuan-Qing Gu, Dan-Dan Zhang, Mei-Feng Ruan, Guo-Kai Liu|2023|J.Org.Chem.|88|10711|doi:10.1021/acs.joc.3c00773
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: 10.6073/pasta/76229b6157abc1a54bffb41cc596b588
title: Regional Heat Vulnerability Map and Cooling Solutions: A webtool of the Healthy Urban Environments Initiative

description: ## Regional Heat Vulnerability Map and Cooling Solutions The regional heat vulnerability map and cooling solutions webtool offers two data sources for equitable heat mitigation. The dashboard layers vulnerability data onto land surface temperature regional rankings to identify areas with high and low heat exposure and vulnerability as well as the existing assets in each census block group. Additional layers can be added into the heat vulnerability map to highlight how heat affects critical infrastructures including schools, mobile home parks, parking lots, public transportation stops, pedestrian thoroughfares, and bikeways. The solutions tab showcases a variety of heat mitigation solutions and the research behind them. Heat-related solutions and resources from urban Maricopa County are included, including solutions funded through the Healthy Urban Environment Initiative. The data catalogued here are the underlying data that populate the webtool. ## Healthy Urban Environment (HUE) Initiative - Overview HUE is a solutions-focused research, policy and technology incubator to create healthier communities across Maricopa County (central Arizona, USA) through collaboration between researchers, practitioners and community members. As such, HUE funded rapid development, testing and deployment of heat-mitigation and air-quality improvement strategies and technologies. Heat emerged as the urgent focus, as urban centers across the desert Southwest continue to grow in size and density, aggravating existing challenges posed by the expansion of the built environment. In Phoenix, AZ, this expansion of the built environment creates conditions which magnify the intensity and duration of heat – making it difficult for residents to achieve thermal comfort throughout the day and night. Further, the legacies of urban sprawl and transportation planning in the Phoenix, Arizona metropolitan area have contributed to challenges with atmospheric pollutants. Importantly, urban heat and air quality issues intersect to produce negative health incomes that impact the region’s communities, particularly those who are most vulnerable and least able to adapt. This work was funded as part of the Healthy Urban Environments (HUE) initiative by the Maricopa County Industrial Development Authority (MCIDA), Award #AWD00033817. This funding facilitated collaboration between the City of Tempe, the Decision Theater at Arizona State University (ASU) and ASU researchers to build an interactive webtool to assist local municipalities, nonprofits, community members, researchers, and other stakeholders in understanding heat, vulnerabilities, and solutions to heat in urban Maricopa County region.
DOI: 10.5281/zenodo.7982436
title: Material suplementar para o artigo: Usability Evaluation of mobile banking applications in the context of elderly public in a city of the state-anonymous

description: Material suplementar: Questionário diagnóstico Questionário pós-teste Questionário diagnóstico questões abertas Questionário pós-teste questões abertas TCLE
DOI: 10.5281/zenodo.7982435
title: Material suplementar para o artigo: Usability Evaluation of mobile banking applications in the context of the elderly in a city of Ceará

description: Material suplementar: Questionário diagnóstico Questionário pós-teste Questionário diagnóstico questões abertas Questionário pós-teste questões abertas TCLE
DOI: 10.5281/zenodo.7838976
title: Joint embedding of vertebrate brain single-cell RNA-Seq using sequence or structure

description: Embeddings of single-cell RNA-Seq data from three adult vertebrate brain datasets into Orthogroup feature space or Structural cluster feature space. Orthogroups were generated using OrthoFinder v5.5.0; Structural clusters were assigned by using FoldSeek to cluster AlphaFold-v4 structural predictions.<br> <br> The three datasets used as the basis for these embeddings were: sample "Brain8" from the Jiang et al. 2021 zebrafish cell atlas (files beginning with GSM3768152) sample "Brain1" from the Han et al. 2018 mouse cell atlas (files beginning with GSM2906405) sample "Xenopus_brain_COL65" from the Liao et al. 2022 Xenopus laevis adult cell atlas (files beginning with GSM6214268) For each dataset, we also generated a standardized cell type annotation file based on the author's originally provided cell type annotation data. The first column is the cell barcode for that species and the second column is the original study's cell type annotation for that cell. For the Xenopus brain data, we removed around ~18k cells that were not annotated in the original data to simplify data analyses - these are reflected in the files with the "subsampled" suffix. Subsampled versions of the data are also available for the joint embedding space (prefixed with "DrerMmusXlae"). For the final datasets used in our analyses, we also provide features x cell matrices as .h5ad files for smaller file sizes and faster loading using Scanpy. For visualizing our UMAP plots of our top200 embedding space, we provide ".tsv" files with a variety of metrics and the x and y positions of each cell in the UMAP. See "DrerMmusXlae_adultbrain_FoldSeek_plotlydata.tsv" and "DrerMmusXlae_adultbrain_OrthoFinder_plotlydata.tsv" These data are part of the Arcadia Science Pub titled "Comparing gene expression across species based on protein structure instead of sequence".
DOI: 10.5281/zenodo.7838975
title: Joint embedding of vertebrate brain single-cell RNA-Seq using sequence or structure

description: Embeddings of single-cell RNA-Seq data from three adult vertebrate brain datasets into Orthogroup feature space or Structural cluster feature space. Orthogroups were generated using OrthoFinder v5.5.0; Structural clusters were assigned by using FoldSeek to cluster AlphaFold-v4 structural predictions.<br> <br> The three datasets used as the basis for these embeddings were: sample "Brain8" from the Jiang et al. 2021 zebrafish cell atlas (files beginning with GSM3768152) sample "Brain1" from the Han et al. 2018 mouse cell atlas (files beginning with GSM2906405) sample "Xenopus_brain_COL65" from the Liao et al. 2022 Xenopus laevis adult cell atlas (files beginning with GSM6214268) For each dataset, we also generated a standardized cell type annotation file based on the author's originally provided cell type annotation data. The first column is the cell barcode for that species and the second column is the original study's cell type annotation for that cell. For the Xenopus brain data, we removed around ~18k cells that were not annotated in the original data to simplify data analyses - these are reflected in the files with the "subsampled" suffix. Subsampled versions of the data are also available for the joint embedding space (prefixed with "DrerMmusXlae"). For the final datasets used in our analyses, we also provide features x cell matrices as .h5ad files for smaller file sizes and faster loading using Scanpy. For visualizing our UMAP plots of our top200 embedding space, we provide ".tsv" files with a variety of metrics and the x and y positions of each cell in the UMAP. See "DrerMmusXlae_adultbrain_FoldSeek_plotlydata.tsv" and "DrerMmusXlae_adultbrain_OrthoFinder_plotlydata.tsv" These data are part of the Arcadia Science Pub titled "Comparing gene expression across species based on protein structure instead of sequence".
DOI: 10.5281/zenodo.8264440
title: falco_dickinsoni_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8264439
title: falco_dickinsoni_spades_01.fasta.gz

description: .
DOI: 10.5883/ds-zygospil
title: Notes on Calligrapha Chevrolat (subgenus Zygogramma Chevrolat) and Tritaenia Motschulsky (Coleoptera: Chrysomelidae: Chrysomelinae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-karschio
title: A new Karschiola Gaede, 1926 from Mozambique (Lepidoptera: Erebidae: Arctiinae) with updated information on the distribution of the genus

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-thrips21
title: Tiny insects, big troubles A review of BOLDs COI database for Thysanoptera (Insecta)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/ds-nyodpal
title: A peculiar new species of Nyodes (Lepidoptera: Noctuidae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.3761562.v2681
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.3886/e193387
title: Replication data for: Use of preferred contraceptive method among young adults in Texas and California

description: Young people’s ability to use their preferred contraceptive method is an indicator of reproductive autonomy and healthcare access. This study compared use of preferred contraceptive method in Texas and California, states with contrasting health policy contexts that impact health insurance coverage and access to subsidized family planning services. We used baseline survey data from an ongoing cluster randomized controlled trial of sexually active students, assigned female at birth, ages 18-25, at 29 community colleges in Texas and California (N=1,974). We found that young people in Texas, with lower insurance coverage and more limited access to safety net programs for contraceptive care compared to California, have lower use of preferred contraception.<br>
description: Sexually active community college students, assigned female at birth, ages 18-25<br>.
description: self-enumerated questionnaire;
DOI: 10.3886/e193387v1
title: Replication data for: Use of preferred contraceptive method among young adults in Texas and California

description: Young people’s ability to use their preferred contraceptive method is an indicator of reproductive autonomy and healthcare access. This study compared use of preferred contraceptive method in Texas and California, states with contrasting health policy contexts that impact health insurance coverage and access to subsidized family planning services. We used baseline survey data from an ongoing cluster randomized controlled trial of sexually active students, assigned female at birth, ages 18-25, at 29 community colleges in Texas and California (N=1,974). We found that young people in Texas, with lower insurance coverage and more limited access to safety net programs for contraceptive care compared to California, have lower use of preferred contraception.<br>
description: Sexually active community college students, assigned female at birth, ages 18-25<br>.
description: self-enumerated questionnaire;
DOI: 10.5281/zenodo.8264508
title: amazona_kawalli_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8264507
title: amazona_kawalli_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8264512
title: Configuration files for WRF and rain-producing storm identification model

description: This repository hosts necessary configuration files to reproduce the manuscript "Studying Brown Ocean Re-intensification of Hurricane Florence Using CYGNSS and SMAP Soil Moisture Data and a Numerical Weather Model". Model description: WRF v4.4: https://github.com/wrf-model/WRF/tree/release-v4.4 MET v10.0: https://github.com/dtcenter/MET/tree/main_v10.0 modify_SM.ncl: NCL tool to multiply initial soil moisture and soil temperature by a factor MTDConfig: configuration file for MET MTD analysis namelist.input: input configuration for WRF model namelist.wps: configuration file for WPS preprocessing model
DOI: 10.6084/m9.figshare.23992803
title: <b>Shaping Medical Assessment with Expert Consensus: A Theory-Based Summative Evaluation Blueprint for Community Medicine</b>

description: This dataset contains comprehensive data collected as part of a blueprint project aimed at developing a theory-based summative evaluation blueprint for medical education. The project involved collaboration with experts from multiple institutes to create an effective assessment tool.<b>Data Components:</b><b>Response Time of Participating Experts</b><b>Chapterwise Inter Rater Agreement</b><b>Intraclass Coefficient:</b> Measures of reliability among experts' evaluations for specific topics.<b>Impact and Frequency Scores by Participating Experts:</b> Scores assigned by experts indicating the impact and frequency of each topic within the chapters.<b>Average Impact and Frequency Score of Each Topic:</b> Mean impact and frequency scores for each topic, providing insights into general perception.<b>Impact*</b><b>Frequency (I</b><i><b>*</b></i><b>F) of Each Topic of All Chapters:</b> Calculated combined scores based on the multiplication of impact and frequency scores for each topic.<b>Sum of I*F of All Topics of a Chapter:</b> Total combined scores for each chapter, considering all topics.