cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6390340
title: Dataset: Systematic Mapping Study on the Development and Application of Sentiment Analysis Tools in Software Engineering

description: Update: We updated the data set in March 2022 by adding newly published papers and by providing more insights on how we analyzed them. Details can be found in the file " SEnti-SMS.xlsx". ---------- Update: The updated version (-v2) contains the results of one more snowballing iteration and extracted information on the accuracy of the used methods. ---------- In 2020, we conducted a systematic literature review to explore the development and application of sentiment analysis tools in software engineering. Information on the execution of the SLR, its scope, the search string, etc. are presented in the paper linked below.
DOI: 10.5281/zenodo.4726650
title: Dataset: Systematic Mapping Study on the Development and Application of Sentiment Analysis Tools in Software Engineering

description: Update: We updated the data set in March 2022 by adding newly published papers and by providing more insights on how we analyzed them. Details can be found in the file " SEnti-SMS.xlsx". ---------- Update: The updated version (-v2) contains the results of one more snowballing iteration and extracted information on the accuracy of the used methods. ---------- In 2020, we conducted a systematic literature review to explore the development and application of sentiment analysis tools in software engineering. Information on the execution of the SLR, its scope, the search string, etc. are presented in the paper linked below.
DOI: 10.15129/4c1c6de5-3e1c-483d-a95b-e957dfad4e9f
title: Data for: "Application of light-sheet mesoscopy to image host-pathogen interactions in intact organs"

description: This dataset contains 7 folders (2.84TB) of raw image data in .tiff format for the purposes of imaging a cleared mouse brain. The dataset contains different regions of interest (ROI) imaged with an Airy light-sheet illuminator for a naive and an infected mouse brain specimen, specifically the cingulate cortex (ROI1), the corpus callosum and external capsule (ROI2), and the hypothalamic area (ROI3). The area acquired with the Gaussian illuminator corresponds approximately to ROI1. The datasets publicly available but due to size are stored off-line and available on request using the 'Contact' email listed on this page.
DOI: 10.5281/zenodo.6388371
title: Model data from GRL paper "Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs"

description: This folder includes monthly model data (Specified Chemistry version of the Whole Atmosphere Community Climate Model with CAM4 physics) of sea level pressure (SLP), zonal wind (U), meridional wind (V), convective precipitation rate (P), and vertical velocity (OMEGA) that were used in the Geophysical Research Letters paper "<strong>Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs</strong>" by Wright et al. Boreal winter files include "DJFM" (December - March) in their title and boreal summer files include "JJAS" (June - September) in their title. Data from nine different experiments is included. These experiments were designed to isolate the large-scale atmospheric response to each combination of Atlantic Multidecadal sea surface temperature Variability (AMV) and Interdecadal Pacific sea surface temperature variability (IPV). Given that each climate mode can exist in a positive, negative, or neutral state, there are nine combinations of AMV and IPV. The first four letters of each filename denote the experiment ID with "A" referring to AMV, "I" referring to IPV, "C" referring to cold, "W" referring to warm, and "N" referring to neutral. For example, "ACIW_JJAS_SLP_1801-2000.nc" is the -AMV/+IPV sea level pressure during boreal summer. Vertical velocity data was lost for some experiments and we are providing what is left. Please refer to the manuscript by Wright et al. for further details on the experimental setup.
DOI: 10.5281/zenodo.6388370
title: Model data from GRL paper "Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs"

description: This folder includes monthly model data (Specified Chemistry version of the Whole Atmosphere Community Climate Model with CAM4 physics) of sea level pressure (SLP), zonal wind (U), meridional wind (V), convective precipitation rate (P), and vertical velocity (OMEGA) that were used in the Geophysical Research Letters paper "<strong>Precipitation in Northeast Mexico Primarily Controlled by the Relative Warming of Atlantic SSTs</strong>" by Wright et al. Boreal winter files include "DJFM" (December - March) in their title and boreal summer files include "JJAS" (June - September) in their title. Data from nine different experiments is included. These experiments were designed to isolate the large-scale atmospheric response to each combination of Atlantic Multidecadal sea surface temperature Variability (AMV) and Interdecadal Pacific sea surface temperature variability (IPV). Given that each climate mode can exist in a positive, negative, or neutral state, there are nine combinations of AMV and IPV. The first four letters of each filename denote the experiment ID with "A" referring to AMV, "I" referring to IPV, "C" referring to cold, "W" referring to warm, and "N" referring to neutral. For example, "ACIW_JJAS_SLP_1801-2000.nc" is the -AMV/+IPV sea level pressure during boreal summer. Vertical velocity data was lost for some experiments and we are providing what is left. Please refer to the manuscript by Wright et al. for further details on the experimental setup.
DOI: 10.34820/fk2/u7gch3/hphsxe
title: Data Firm Size-Cahyaningsih.tab

description: :unav
DOI: 10.34820/fk2/u7gch3
title: Replication Data for Pendidikan Eksekutif dan Aktivitas Sosial

description: Firm size of public companies listed on the Indonesia Stock Exchange for the 2017-2020 period.
DOI: 10.5281/zenodo.6390352
title: Replication Package for the Paper: "Code Smells Detection via Modern Code Review: A Study of the OpenStack and Qt Communities"

description: This repository contains the data and results from the paper "Code Smells Detection via Modern Code Review: A Study of the OpenStack and Qt Communities" submitted to the ICPC 2021 special issue of the Empirical Software Engineering Journal, 2021. The replication package contains the following two folders: <strong>1) data folder</strong> The data folder contains the following four folders, which is organized by research questions (RQs). RQ1: The RQ1 folder contains the retrieved 1,539 code reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell, Code Smell Discussion, and Source Code URL. RQ2: The RQ2 folder contains the coded data for RQ2, called <em>Data Labeling & Encoding for RQ2.mx18</em>. It is the results of data labeling and encoding for RQ2, which was analyzed by the MAXQDA tool. RQ3 and RQ5: <em>Extracted data for RQ3.1.xlsx</em>: this file contains the extracted data (i.e., specific refactoring actions suggested by reviewers) for RQ3.1. <em>Data Labeling & Encoding for RQ3 and RQ5.mx18</em>: this file contains the extracted data for RQ3 (excluding the specific refactoring actions in RQ3.1) and RQ5. <em>Code change status for RQ5.xlsx</em>: this file contains the information of status of code changes where the developers disagreed with the reviewers and chose to ignore the identified code smells. RQ4: The RQ4 folder contains the extracted data for RQ4, called <em>Extracted data for RQ4.xlsx</em>. Note: The mx18 files can be opened by MAXQDA 18 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <strong>2) scripts folder</strong> The scripts folder contains the Python scripts that were used to search for code smell terms and the list of code smell terms. <em>keyword.txt</em> contains the keywords associated with code smells, such as "smell, duplication, and dead". <em>get_changes.py</em> is used for getting code changes from OpenStack and Qt. <em>get_comments.py</em> is used for getting review comments for each code change. <em>keywords_search.py</em> is used for searching review comments that contain at least one keyword. <em>random_select.py</em> is used for randomly selecting review comments that do not contain any keyword. <em>keywords_improve.py</em> is used for improving the keyword-based mining approach. <em>tools.py</em> is used for supporting the process of keywords improving.
DOI: 10.5281/zenodo.5588454
title: Replication Package for the Paper: "Code Smells Detection via Modern Code Review: A Study of the OpenStack and Qt Communities"

description: This repository contains the data and results from the paper "Code Smells Detection via Modern Code Review: A Study of the OpenStack and Qt Communities" submitted to the ICPC 2021 special issue of the Empirical Software Engineering Journal, 2021. The replication package contains the following two folders: <strong>1) data folder</strong> The data folder contains the following four folders, which is organized by research questions (RQs). RQ1: The RQ1 folder contains the retrieved 1,539 code reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell, Code Smell Discussion, and Source Code URL. RQ2: The RQ2 folder contains the coded data for RQ2, called <em>Data Labeling & Encoding for RQ2.mx18</em>. It is the results of data labeling and encoding for RQ2, which was analyzed by the MAXQDA tool. RQ3 and RQ5: <em>Extracted data for RQ3.1.xlsx</em>: this file contains the extracted data (i.e., specific refactoring actions suggested by reviewers) for RQ3.1. <em>Data Labeling & Encoding for RQ3 and RQ5.mx18</em>: this file contains the extracted data for RQ3 (excluding the specific refactoring actions in RQ3.1) and RQ5. <em>Code change status for RQ5.xlsx</em>: this file contains the information of status of code changes where the developers disagreed with the reviewers and chose to ignore the identified code smells. RQ4: The RQ4 folder contains the extracted data for RQ4, called <em>Extracted data for RQ4.xlsx</em>. Note: The mx18 files can be opened by MAXQDA 18 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <strong>2) scripts folder</strong> The scripts folder contains the Python scripts that were used to search for code smell terms and the list of code smell terms. <em>keyword.txt</em> contains the keywords associated with code smells, such as "smell, duplication, and dead". <em>get_changes.py</em> is used for getting code changes from OpenStack and Qt. <em>get_comments.py</em> is used for getting review comments for each code change. <em>keywords_search.py</em> is used for searching review comments that contain at least one keyword. <em>random_select.py</em> is used for randomly selecting review comments that do not contain any keyword. <em>keywords_improve.py</em> is used for improving the keyword-based mining approach. <em>tools.py</em> is used for supporting the process of keywords improving.
DOI: 10.6084/m9.figshare.19431701
title: De la radio comunitaria al podcast: métodos participativos en comunicación oral

description: Data selection from systematic literature review 'De la radio comunitaria al podcast: métodos participativos en comunicación oral' (From community radio to podcasting: participatory methods in oral communication).
DOI: 10.6084/m9.figshare.19431701.v2
title: De la radio comunitaria al podcast: métodos participativos en comunicación oral

description: Data selection from systematic literature review 'De la radio comunitaria al podcast: métodos participativos en comunicación oral' (From community radio to podcasting: participatory methods in oral communication).
DOI: 10.5281/zenodo.6390083
title: Single-cell analyses of axolotl forebrain organization, neurogenesis, and regeneration

description: Preprint: https://doi.org/10.1101/2022.03.21.485045 Abstract: Salamanders are important tetrapod models to study brain organization and regeneration, however the identity and evolutionary conservation of brain cell types is largely unknown. Here, we delineate cell populations in the axolotl telencephalon during homeostasis and regeneration, representing the first single-cell genomic and spatial profiling of an anamniote tetrapod brain. We identify glutamatergic neurons with similarities to amniote neurons of hippocampus, dorsal and lateral cortex, and conserved GABAergic neuron classes. We infer transcriptional dynamics and gene regulatory relationships of postembryonic, region-specific direct and indirect neurogenesis, and unravel conserved signatures. Following brain injury, ependymoglia activate an injury-specific state before reestablishing lost neuron populations and axonal connections. Together, our analyses yield key insights into the organization, evolution, and regeneration of a tetrapod nervous system. File description: all_nuclei_clustered_highlevel_anno.rds - Seurat object including all snRNA-seq data from uninjured pallium, both from microdissections and whole pallium multiome. pallium_metadata_simp.csv - csv file containing a simplified version of the metadata for the uninjured pallium Edu_1_2_4_6_8_12_fil_highvarfeat.rds - Seurat object containing all Div-seq data for the pallium injury time course divseq_predicted_metadata.csv - csv file containing a simplified version of the metadata for the pallium injury time course ep_wpi_srat.rds - Seurat object containing an integrated version of ependymoglia cells from uninjured and injured pallium (see Fig 6 in the preprint). D1_113_sub_b.rds - Seurat object containing a Visium data for the axolotl pallium multiome_integATAC_SCT.rds - Signac object containing the data used for multiome analysis of the uninjured whole pallium predictions_cell2loc.csv - csv file containing cell2location scores for the uninjured pallium cell types in the Visium dataset
DOI: 10.5281/zenodo.6390082
title: Single-cell analyses of axolotl forebrain organization, neurogenesis, and regeneration

description: Preprint: https://doi.org/10.1101/2022.03.21.485045 Abstract: Salamanders are important tetrapod models to study brain organization and regeneration, however the identity and evolutionary conservation of brain cell types is largely unknown. Here, we delineate cell populations in the axolotl telencephalon during homeostasis and regeneration, representing the first single-cell genomic and spatial profiling of an anamniote tetrapod brain. We identify glutamatergic neurons with similarities to amniote neurons of hippocampus, dorsal and lateral cortex, and conserved GABAergic neuron classes. We infer transcriptional dynamics and gene regulatory relationships of postembryonic, region-specific direct and indirect neurogenesis, and unravel conserved signatures. Following brain injury, ependymoglia activate an injury-specific state before reestablishing lost neuron populations and axonal connections. Together, our analyses yield key insights into the organization, evolution, and regeneration of a tetrapod nervous system. File description: all_nuclei_clustered_highlevel_anno.rds - Seurat object including all snRNA-seq data from uninjured pallium, both from microdissections and whole pallium multiome. pallium_metadata_simp.csv - csv file containing a simplified version of the metadata for the uninjured pallium Edu_1_2_4_6_8_12_fil_highvarfeat.rds - Seurat object containing all Div-seq data for the pallium injury time course divseq_predicted_metadata.csv - csv file containing a simplified version of the metadata for the pallium injury time course ep_wpi_srat.rds - Seurat object containing an integrated version of ependymoglia cells from uninjured and injured pallium (see Fig 6 in the preprint). D1_113_sub_b.rds - Seurat object containing a Visium data for the axolotl pallium multiome_integATAC_SCT.rds - Signac object containing the data used for multiome analysis of the uninjured whole pallium predictions_cell2loc.csv - csv file containing cell2location scores for the uninjured pallium cell types in the Visium dataset
DOI: 10.25500/edata.bham.00000812
title: CORTEX Automotive Radar and Video with GPS/IMU Ground Truth Dataset from Trials at MIRA Test Track - Run2
DOI: 10.6084/m9.figshare.19432553
title: Competition mediates understorey species range shifts under climate change

description: 18 year time series of plant demographic data from a transplant- en competition exclusion experiment.<br>data on 4 European understorey plant species: <i>Scilla bifolia, </i><i>Ornithogalum pyrenaicum, </i><i>Iris foetidissima and </i><i>Symphytum tuberosum.</i>Shapefiles of the 4 species' distributionscleaned occurrence data and background data used in the species distribution models<br>R code available for reproducing the integral projection models (including AI C model selection of the vital rates), and species distribution models (including scripts for cleaning the GBIF occurrence data). <i><br></i>
DOI: 10.34740/kaggle/dsv/3371570
title: COVID Vaccination in World (updated daily)
DOI: 10.34820/fk2/ap3fwf/nqicke
title: Data Kinerja Keuangan-Cahyaningsih.tab

description: :unav
DOI: 10.34820/fk2/ap3fwf
title: Replication Data for Kinerja Sosial, Pajak, dan Keuangan

description: Financial performance of manufacturing companies listed on the Indonesia Stock Exchange for the 2020 period.
DOI: 10.6073/pasta/7f0e0598132e3fea1bfd36a4257af643
title: temporalNEON: Repository containing raw and cleaned-up organismal data from the National Ecological Observatory Network (NEON) useful for evaluating the links between change in biodiversity and ecosystem stability

description: Organismal data include the following taxonomic groups: small mammals, fish, ground beetles, and aquatic macroinvertebrates. Data were retrieved from the National Ecological Observatory Network (NEON) database in November 2020. We submit both raw data retrieved from NEON as .rds files, R code used to process these data, as well as processed data as .csv files.
DOI: 10.5281/zenodo.6390450
title: INNOSETA database 2020: projects and articles

description: INNOSETA Database Projects and articles
DOI: 10.5281/zenodo.6390449
title: INNOSETA database 2020: projects and articles

description: INNOSETA Database Projects and articles
DOI: 10.6084/m9.figshare.15183495.v6
title: Kidney epigenome and transcriptome-based multi-stage prioritization defines core cell types, genes and targetable mechanisms for kidney disease

description: Summary statistic data of eGFRcrea GWAS, kidney eQTL and kidney mQTL data<br>Kidney mQTL mapping was performed based on genotype and DNA methylation data of kidney samples from 443 trans-ancestry individuals (79% are of European ancestry). The significance of the top associated variants per CpG was estimated by adaptive permutation in FastQTL using the covariates above and the setting “--permute 1000”. Beta distribution-adjusted empirical p-values from FastQTL were used to calculate q-values using Storey’s q method, and a false discovery rate (FDR) threshold of ≤0.01 was applied to identify CpGs with a significant mQTL. Totally, we identified 139,313 mCpGs and 13,771,378 significant SNP-mCpG pairs<br>eGFRcrea GWAS meta-analysis was performed in 1,508,659 trans-ancestry individuals (80% are of European ancestry) by integrating five GWAS studies. We identified 90,950 variants showing genome wide significant (p &lt; 5E-8) association with eGFRcrea.<br>Kidney eQTL meta-analysis was performed in 686 trans-ancestry individuals (72% are of European ancestry) by integrating four eQTL studies. To define eGenes, we used the Storey approach to calculate q values for all associations for each gene. With significant q value (&lt; 0.01), we identified 10,430 eGenes and 1,222,250 significant SNP-gene pairs.<br><br>
DOI: 10.6084/m9.figshare.13238015
title: Statements_Contestation_Russian Sanctions

description: The statements dataset for the paper "Contesting European Foreign, Security, and Defence Cooperation: Latent Coalitions in the Case of the EU’s Russian Sanctions"
DOI: 10.34820/fk2/svelhc/hk5z4i
title: Data keuangan_Governance_Pengungakap M Risiko-Majidah n Pravadinda-2021.pdf

description: Data Penelitian Data keuangan, Governance dan Pengungkapan Manajemen Risiko Industri Asuransi yang Go Public 2015-2019
DOI: 10.34820/fk2/svelhc
title: Data Keuagana Governance dan Pengungkapan Manajemen Risiko Perusahaan Asuransi yang Go public 2015-2019

description: Data Penelitian Data keuangan, Governance dan Pengungkapan Manajemen Risiko Industri Asuransi yang Go Public 2015-2019
DOI: 10.34820/fk2/qwmohz/63xsxg
title: Waspada, Salim, Fariska (2021).pdf

description: :unav
DOI: 10.34820/fk2/liczxh/shriyd
title: Salim 2019.pdf

description: :unav
DOI: 10.34820/fk2/sqp7ur/90d8zw
title: Salim dan Rizal (2021).pdf

description: :unav
DOI: 10.34820/fk2/enx3ny/b5cyvn
title: Hendrawan, Salim (2017).pdf

description: :unav
DOI: 10.5281/zenodo.6390492
title: INNOSETA database 2021: projects and articles

description: INNOSETA database 2021: projects and articles
DOI: 10.5281/zenodo.6390491
title: INNOSETA database 2021: projects and articles

description: INNOSETA database 2021: projects and articles
DOI: 10.25919/d4nf-8f32
title: Monoaromatic-degrading MAGs from coal seam environments of Australia and North America

description: Contig bins and Prokka annotation (nucleotides) of four metagenomically-assembled genomes (MAGs) containing benzoyl-CoA reductase from subsurface coal seams in Australia and North America, and the Kelpie-generated 16S rRNA data from the associated metagenomes.
DOI: 10.5519/qd.gdiacpt3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6390456
title: Diamond particles in toothpastes: In-vitro effect on the abrasive enamel wear

description: Data set for an article
DOI: 10.5281/zenodo.6390455
title: Diamond particles in toothpastes: In-vitro effect on the abrasive enamel wear

description: Data set for an article
DOI: 10.6084/m9.figshare.19237194
title: For the road: Calibrated maternal investment in light of extracellular symbiont transmission

description: Raw data and statistical analysis of the manuscript entitled "For the road: Calibrated maternal investment in light of extracellular symbiont transmission."<br>
DOI: 10.5281/zenodo.6390556
title: INNOSETA database: industry solutions

description: INNOSETA database: industry solutions
DOI: 10.5281/zenodo.6390555
title: INNOSETA database: industry solutions

description: INNOSETA database: industry solutions
DOI: 10.5519/qd.4u8zjk2b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34820/fk2/cxsxfs/44sez3
title: Ajeng_Determinant Variables Of Enterprise Risk.pdf

description: :unav