cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12795583
title: Wallops SuperDARN data in netCDF format (2023-Apr)

description: 2023-Apr Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.22003/xfel.eu-data-900419-00
title: DiPOLE and VISAR commissioning
DOI: 10.22003/xfel.eu-data-900433-00
title: FXE commissioning
DOI: 10.22003/xfel.eu-data-900434-00
title: LPD commissioning and calibration
DOI: 10.15468/dl.3j3zup
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinometra lucunter (Linnaeus, 1758)"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038328-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12996088
title: concatenated_alignment_4378bases Description of three widespread new Peronospora species parasitising Caryophyllales

description: concatenated_alignment_4378bases in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12996089
title: concatenated_alignment_4378bases Description of three widespread new Peronospora species parasitising Caryophyllales

description: concatenated_alignment_4378bases in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12996842
title: hsp90 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12996843
title: hsp90 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12997539
title: COX2/cox2-1 spacer/COX1 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12997540
title: COX2/cox2-1 spacer/COX1 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12996490
title: Material Suplementar - Is secure software development education necessary in the software industry? Answers from professionals of a technology hub in Brazil

description: Context: The education and training of information security professionals is essential to ensure the protection of data and systems, as well as the privacy and security of sensitive information. Problem: This work aims to explore the context of a local technology hub to answer the following research question: Is secure software development education necessary in the software industry? Solution: To answer this question, an exploratory study was performed to understand the need for secure software development education from the point of view of software practitioners in a technology hub. Method: A questionnaire was prepared and sent to professionals of a Brazilian technology hub. Answers were analyzed by using qualitative research methods. Results: We obtained thirty eight answers. According to the results obtained, the majority of participants consider information security education important for the development of secure software. However, there is still a lack of information security education. Contributions: It is concluded that companies should invest more in adequate and comprehensive training on the topic, in addition to encouraging and rewarding professionals who prioritize software security in their projects. It is essential to disseminate a culture of information security throughout the organization, from senior management to development professionals, to make everyone aware of the importance of information security and their responsibility in maintaining it. Finally, it should be noted that developers have a crucial role in ensuring software security, being responsible for seeking knowledge and improving their skills in secure development through training, reading and practice. (Paper accepted in the Brazilian Symposium of Software Engineering)
DOI: 10.5281/zenodo.12996491
title: Material Suplementar - Is secure software development education necessary in the software industry? Answers from professionals of a technology hub in Brazil

description: Context: The education and training of information security professionals is essential to ensure the protection of data and systems, as well as the privacy and security of sensitive information. Problem: This work aims to explore the context of a local technology hub to answer the following research question: Is secure software development education necessary in the software industry? Solution: To answer this question, an exploratory study was performed to understand the need for secure software development education from the point of view of software practitioners in a technology hub. Method: A questionnaire was prepared and sent to professionals of a Brazilian technology hub. Answers were analyzed by using qualitative research methods. Results: We obtained thirty eight answers. According to the results obtained, the majority of participants consider information security education important for the development of secure software. However, there is still a lack of information security education. Contributions: It is concluded that companies should invest more in adequate and comprehensive training on the topic, in addition to encouraging and rewarding professionals who prioritize software security in their projects. It is essential to disseminate a culture of information security throughout the organization, from senior management to development professionals, to make everyone aware of the importance of information security and their responsibility in maintaining it. Finally, it should be noted that developers have a crucial role in ensuring software security, being responsible for seeking knowledge and improving their skills in secure development through training, reading and practice. (Paper accepted in the Brazilian Symposium of Software Engineering)
DOI: 10.5281/zenodo.12997751
title: ITS alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12997752
title: ITS alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12997958
title: nad1 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12997959
title: nad1 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12998054
title: RPS10 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.5281/zenodo.12998055
title: RPS10 alignment in Description of three widespread new Peronospora species parasitising Caryophyllales
DOI: 10.15468/dl.43q4su
title: Occurrence Download

description: A dataset containing 2007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, VU, NT, CR)",
 "PublishingOrg is one of (e2e717bf-551a-4917-bdc9-4fa0f342c530, 8edbbde0-055e-11d8-b850-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 247b85e0-4e6b-46d1-b1c8-47b00bb8ced7, 80960f60-ad5e-11da-9c37-b8a03c50a862, b459e790-0d3c-11d9-8431-b8a03c50a862, a42867f0-813a-11dc-82e0-b8a03c50a862)",
 "StateProvince is Colima",
 "TaxonKey is Psittacidae"
 ]
}

 The dataset includes 2007 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038333-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26384020
title: sumo traffic simulation.rar

description: This project involves simulating urban traffic using SUMO across various urban layouts to analyze the correlation between urban form, traffic patterns, and pollution levels.
DOI: 10.6084/m9.figshare.26384020.v1
title: SUMO_FILES - Copie.rar

description: This project involves simulating urban traffic using SUMO across various urban layouts to analyze the correlation between urban form, traffic patterns, and pollution levels.
DOI: 10.5281/zenodo.12996102
title: Wallops SuperDARN data in netCDF format (2023-May)

description: 2023-May Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.12996103
title: Wallops SuperDARN data in netCDF format (2023-May)

description: 2023-May Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.jzy3zz
title: Occurrence Download

description: A dataset containing 150381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ononis spinosa subsp. procurrens (Wallr.) Briq.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 150381 records from 800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038327-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7p5w3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guettarda rhamnifolia Standl."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0197541-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx98hj
title: Occurrence Download

description: A dataset containing 81562 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus retroflexus L."
 ]
}

 The dataset includes 81562 records from 906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204028-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5utwz
title: Occurrence Download

description: A dataset listing the 696853 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 696853 records were derived from 10680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hctaz
title: Occurrence Download

description: A dataset containing 179640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pelecaniformes",
 "Year 2015-2024"
 ]
}

 The dataset includes 179640 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002053-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cten7e
title: Occurrence Download

description: A dataset containing 11095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 11095 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002067-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejjtsa
title: Occurrence Download

description: A dataset containing 25739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.8_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 25739 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002068-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14708187
title: Supplementary Material - Talent Retention - Field Study

description: Supplementary material for the study on talent management challenges.
DOI: 10.15468/dl.wbppv7
title: Occurrence Download

description: A dataset containing 60366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.7_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 60366 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwqx8m
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Ipomoea purpurea (L.) Roth",
 "Year 1970-2000"
 ]
}

 The dataset includes 138 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002073-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc3ey6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Clinopodium alpinum subsp. pyrenaeum (Braun-Blanq.) Govaerts"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002076-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11001641
title: Novel Macrophage Subpopulation Linked to CAD: raw and processed data files

description: This directory contains all single-cell datasets analyzed in the "Partitioning heritability using single-cell multi-omics identifies a novel macrophage subpopulation conveying increased genetic risk of coronary artery disease". Associated scripts are available at https://github.com/jhjiang2020/multiome_paper. 

Jan 2025 updates: include the 10x Cell Ranger ARC output for the scATAC-seq assay. Please note that 10x peaks were not used for downstream analyses. Instead, we trimmed the atac-seq fragments to retain the 9bp Tn5 cut sites at both ends and aggregated into one consensus bed file. We then recalled peaks using `MACS3 --qvalue 1e-5 --nomodel --shift -50 --extsize 100  --broad` (see discussion in https://github.com/stuart-lab/signac/issues/682).
DOI: 10.5281/zenodo.11001642
title: Novel Macrophage Subpopulation Linked to CAD: raw and processed data files

description: This directory contains all single-cell datasets analyzed in the "Partitioning heritability using single-cell multi-omics identifies a novel macrophage subpopulation conveying increased genetic risk of coronary artery disease". Associated scripts are available at https://github.com/jhjiang2020/multiome_paper.
DOI: 10.5281/zenodo.14739088
title: Novel Macrophage Subpopulation Linked to CAD: raw and processed data files

description: This directory contains all single-cell datasets analyzed in the "Partitioning heritability using single-cell multi-omics identifies a novel macrophage subpopulation conveying increased genetic risk of coronary artery disease". Associated scripts are available at https://github.com/jhjiang2020/multiome_paper. 

Jan 2025 updates: include the 10x Cell Ranger ARC output for the scATAC-seq assay. Please note that 10x peaks were not used for downstream analyses. Instead, we trimmed the atac-seq fragments to retain the 9bp Tn5 cut sites at both ends and aggregated into one consensus bed file. We then recalled peaks using `MACS3 --qvalue 1e-5 --nomodel --shift -50 --extsize 100  --broad` (see discussion in https://github.com/stuart-lab/signac/issues/682).
DOI: 10.15468/dl.wjaznq
title: Occurrence Download

description: A dataset containing 387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124 32,-114 32,-114 42,-124 42,-124 32))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum lycopersicum L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 387 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002078-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcxtqd
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Vicia villosa Roth",
 "Year 1970-2000"
 ]
}

 The dataset includes 51 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002079-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e843xc
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bupleurum bicaule Helm"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002082-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rue3a
title: Occurrence Download

description: A dataset containing 219208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.26_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 219208 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002065-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2e78hn
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Amaranthus viridis L.",
 "Year 1970-2000"
 ]
}

 The dataset includes 76 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002084-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m694pe
title: Occurrence Download

description: A dataset containing 305338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 305338 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002070-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86zqjt
title: Occurrence Download

description: A dataset containing 14086846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hirundo rustica Linnaeus, 1758",
 "Year 2000-2025"
 ]
}

 The dataset includes 14086846 records from 5017 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002061-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.