cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kdgnrv
title: Occurrence Download

description: A dataset containing 9625384 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Hibbertia furfuracea, Olearia viscidula, Syzygium luehmannii, Bossiaea bossiaeoides, Senna cuthbertsonii, Hemionitis tinaei, Thelypodium brachycarpum, Hemionitis angustifolia, Alyssum montenegrinum, Acacia flavipila, Acacia cana, Acacia pubescens, Senna confinis, Enterolobium cyclocarpum, Sairocarpus subcordatus, Anredera vesicaria, Serruria florida, Psoralea spissa, Tristaniopsis laurina, Gypsophila bicolor, Spermacoce densiflora, Lactuca oyukludaghensis, Psoralea curtisiae, Trachymene dusenii, Caryophyllaceae, Limonium sieberi, Limonium ruizii, Sechiopsis triquetra, Neuontobotrys polyphylla, Genoplesium nigricans, Xerochrysum macranthum, Mcneillia, Gilia salticola, Lactuca fenzlii, Limonium secundirameum, Limonium companyonis, Limonium mucronatum, Dichanthelium oligosanthes, Vaccinium microcarpum, Setaria basiclada, Phyllopodium capillare, Heliophila juncea, Pachycarpus stenoglossus, Cyperus pallidicolor, Cyperus macrocarpus, Callitriche lechleri, Hyacinthoides aristidis, Cyperus betchei, Pachycarpus linearis, Centella uniflora, Mattiastrum shepardii, Knowltonia caffra, Campanula pamphylica, Hypodiscus synchroolepis, Parastrephia teretiuscula, Malva trimestris, Aspidoglossum glabrescens, Knowltonia vesicatoria, Cyperus bifax, Styphelia acervata, Hedlundia takhtajanii, Asclepias cordifolia, Eutaxia microphylla, Selinum carvifolia, Babiana nana, Babiana mucronata, Alafia multiflora, Menonvillea purpurea, Ericameria ophitidis, Selinum coniifolium, Morettia philaeana, Styphelia leptospermoides, Stauracanthus boivinii, Oxytes brachypoda, Babiana fimbriata, Centaurea arrigonii, Erodium maritimum, Dysphania rhadinostachya, Styphelia conchifolia, Babiana tubulosa, Drosanthemum collinum, Araucaria araucana, Gladiolus pubigerus, Plagiobothrys plurisepaleus, Erigeron pumilus, Alyogyne huegelii, Hedlundia roopiana, Selago crassifolia, Centaurea saratoi, Styphelia propinqua, Huperzia australiana, Lampranthus stephanii, Kickxia aegyptiaca, Leionema rotundifolium, Phlegmatospermum cochlearinum, Hyparrhenia schimperi, Osteospermum tomentosum, Lampranthus emarginatoides, Leionema ralstonii, Lampranthus dyckii)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 9625384 records from 6404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038158-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16109695
title: Replication Package of "Mind the SBOM Gap: Adoption and Compliance in Open Source Software"

description: Replication Package Structure:

The replication package contains all data and scripts necessary to reproduce the analyses and results presented in this study.

replication_package/├── data/│   ├── sbom_repo_paths.csv│   ├── sbom_project_features.csv│   ├── non_sbom_project_features.csv│   └── SBOM_files/              # Raw SBOM files collected from SBOM projects│└── code/    ├── RQ1_regression/    │   ├── regression.R         # Main script to run the regression analysis (RQ1)    │   └── common.R             # Shared R functions for feature filtering and formatting    │    └── RQ2_compliance/        ├── check_component_name.py        ├── check_component_version.py        ├── check_supplier.py        ├── check_unique_identifiers.py        ├── check_sbom_author.py        ├── check_timestamp.py        ├── check_dependency.py        ├── check_hash.py        ├── check_lifecycle_phase.py        ├── check_license.py        ├── check_vex.py        ├── check_transitive_dependency.py        ├── check_circular_dep.py        └── check_all_7_min_req_files.py

Folder Descriptions:

data/: Contains datasets and raw SBOM files used in the analysis. - sbom_repo_paths.csv: Maps each SBOM file to its corresponding GitHub repository. - sbom_project_features.csv: Contains 23 extracted features for each SBOM-using project. - non_sbom_project_features.csv: Contains the same 23 features for matched non-SBOM projects. - SBOM_files/: Includes all valid SBOM files collected from open-source projects, in SPDX or CycloneDX formats.

code/: Contains source code for reproducing both research questions. - RQ1_regression/:    - regression.R: Runs multivariate logistic regression across 100 bootstrapped samples.    - common.R: Defines helper functions for feature selection, multicollinearity removal, and LaTeX formatting of regression outputs. - RQ2_compliance/:    - 14 Python scripts that check SBOM compliance against NTIA's minimum elements and best practices.
DOI: 10.5281/zenodo.16109696
title: Replication Package of "Mind the SBOM Gap: Adoption and Compliance in Open Source Software"

description: Replication Package Structure:

The replication package contains all data and scripts necessary to reproduce the analyses and results presented in this study.

replication_package/├── data/│   ├── sbom_repo_paths.csv│   ├── sbom_project_features.csv│   ├── non_sbom_project_features.csv│   └── SBOM_files/              # Raw SBOM files collected from SBOM projects│└── code/    ├── RQ1_regression/    │   ├── regression.R         # Main script to run the regression analysis (RQ1)    │   └── common.R             # Shared R functions for feature filtering and formatting    │    └── RQ2_compliance/        ├── check_component_name.py        ├── check_component_version.py        ├── check_supplier.py        ├── check_unique_identifiers.py        ├── check_sbom_author.py        ├── check_timestamp.py        ├── check_dependency.py        ├── check_hash.py        ├── check_lifecycle_phase.py        ├── check_license.py        ├── check_vex.py        ├── check_transitive_dependency.py        ├── check_circular_dep.py        └── check_all_7_min_req_files.py

Folder Descriptions:

data/: Contains datasets and raw SBOM files used in the analysis. - sbom_repo_paths.csv: Maps each SBOM file to its corresponding GitHub repository. - sbom_project_features.csv: Contains 23 extracted features for each SBOM-using project. - non_sbom_project_features.csv: Contains the same 23 features for matched non-SBOM projects. - SBOM_files/: Includes all valid SBOM files collected from open-source projects, in SPDX or CycloneDX formats.

code/: Contains source code for reproducing both research questions. - RQ1_regression/:    - regression.R: Runs multivariate logistic regression across 100 bootstrapped samples.    - common.R: Defines helper functions for feature selection, multicollinearity removal, and LaTeX formatting of regression outputs. - RQ2_compliance/:    - 14 Python scripts that check SBOM compliance against NTIA's minimum elements and best practices.
DOI: 10.35078/rfxf7o
title: Folder Institucional

description: Material com informações institucionais do projeto, principais ações realizadas e atividades em desenvolvimento [pt] Material with institutional information on the project, the main actions carried out and activities in progress [en] Material con información institucional sobre el proyecto, las principales acciones realizadas y las actividades en curso [es]
DOI: 10.17632/5d3c7rhr6r
title: Reinforcement learning for service placement in the cloud

description: In this PhD project conducted in Iran, we use some reinforcement learning policy-based methods, such as PPO, for service placement in the fog.
DOI: 10.17632/5d3c7rhr6r.1
title: Reinforcement learning for service placement in the cloud

description: In this PhD project conducted in Iran, we use some reinforcement learning policy-based methods, such as PPO, for service placement in the fog.
DOI: 10.17632/dvtcfjhgxy
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: This file outlines the process for replicating the econometric analysis presented in the study: Impact of digital economy on innovation and entrepreneurship: Evidence from China. This folder contains the replication materials for the empirical analyses presented in the paper. It includes the dataset and Stata code used to reproduce the main results.
DOI: 10.17632/dvtcfjhgxy.1
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: This file outlines the process for replicating the econometric analysis presented in the study: Impact of digital economy on innovation and entrepreneurship: Evidence from China. This folder contains the replication materials for the empirical analyses presented in the paper. It includes the dataset and Stata code used to reproduce the main results.
DOI: 10.17632/h3c8ypzzmp.1
title: THE IMPACT OF SOCIAL MEDIA INFLUENCERS USING CUSTOMER ENGAGEMENT THEORY ON THE ZOOMER GENERATION WITH PARTIAL AND SIMULTANEOUS TESTING

description: This research data is used to examine the effect of customer engagement on social media influencers through both partial and simultaneous testing.
DOI: 10.17632/zndzygc3p3
title: Urban Civic Issues Image Dataset: Potholes and Garbage (QR4Change)

description: This dataset has been developed to support research in computer vision for urban infrastructure monitoring and waste management, as part of the project QR4Change: A Smart QR-Based Civic Grievance Reporting System. The project aims to provide a technology-driven platform where citizens can conveniently report civic issues through QR codes, while automated image analysis assists municipal authorities in prioritizing and addressing complaints.

The images were collected from diverse sources, including open-source repositories, government portals, and on-field surveys in Pune (covering regions such as Kondhwa, Bibewadi, Swargate, and Market Yard).

The dataset is organized into two major categories:

Pothole Dataset:
A total of 2,966 images, consisting of 1,004 pothole images and 1,962 plain road (non-pothole) images.

Garbage Dataset:
A total of 1,971 images, consisting of 712 garbage dump images and 1,259 non-garbage images.

This dataset not only underpins the QR4Change project but is also intended to serve the wider research community in developing and evaluating machine learning models for tasks such as image classification, object detection, and smart city civic issue analysis.
DOI: 10.5281/zenodo.17122958
title: Satellite Constrained Primary OH Production

description: Fields of satellite constrained primary hydroxyl radical production at 500 meters above ground level for January, April, July, and October 2005. Data corresponds to figures in "Towards Closing the Hydroxyl Radical (OH) Budget: Assessing the feasibility and uncertainties in constraining primary OH production from space".
DOI: 10.5281/zenodo.17122959
title: Satellite Constrained Primary OH Production

description: Fields of satellite constrained primary hydroxyl radical production at 500 meters above ground level for January, April, July, and October 2005. Data corresponds to figures in "Towards Closing the Hydroxyl Radical (OH) Budget: Assessing the feasibility and uncertainties in constraining primary OH production from space".
DOI: 10.17632/zndzygc3p3.2
title: Urban Civic Issues Image Dataset: Potholes and Garbage (QR4Change)

description: This dataset has been developed to support research in computer vision for urban infrastructure monitoring and waste management, as part of the project QR4Change: A Smart QR-Based Civic Grievance Reporting System. The project aims to provide a technology-driven platform where citizens can conveniently report civic issues through QR codes, while automated image analysis assists municipal authorities in prioritizing and addressing complaints.

The images were collected from diverse sources, including open-source repositories, government portals, and on-field surveys in Pune (covering regions such as Kondhwa, Bibewadi, Swargate, and Market Yard).

The dataset is organized into two major categories:

Pothole Dataset:
A total of 2,966 images, consisting of 1,004 pothole images and 1,962 plain road (non-pothole) images.

Garbage Dataset:
A total of 1,971 images, consisting of 712 garbage dump images and 1,259 non-garbage images.

This dataset not only underpins the QR4Change project but is also intended to serve the wider research community in developing and evaluating machine learning models for tasks such as image classification, object detection, and smart city civic issue analysis.
DOI: 10.15468/dl.ajq3gu
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Ophioglossum thermale nipponicum)"
 ]
}

 The dataset includes 39 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009719-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfvdms
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.08994 -53.02516,-52.55687 -53.02516,-52.55687 4.89453,-104.08994 4.89453,-104.08994 -53.02516))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Argopecten purpuratus",
 "Year 2000-2025"
 ]
}

 The dataset includes 85 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009722-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvjhj8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium borbasioides",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009721-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ysry33
title: Occurrence Download

description: A dataset containing 15727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix daphnoides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 15727 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009723-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2l611x
title: CCDC 2389078: Experimental Crystal Structure Determination

description: Related Article: Mohit Kumar Chattopadhyay, Pravat Ghorai, Sourav Datta, Narayan Ch. Jana, Mohammad Hedayetullah Mir, Priyabrata Banerjee|2025|Inorg.Chem.|64|18277|doi:10.1021/acs.inorgchem.5c02588
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.cc2l610w
title: CCDC 2389077: Experimental Crystal Structure Determination

description: Related Article: Mohit Kumar Chattopadhyay, Pravat Ghorai, Sourav Datta, Narayan Ch. Jana, Mohammad Hedayetullah Mir, Priyabrata Banerjee|2025|Inorg.Chem.|64|18277|doi:10.1021/acs.inorgchem.5c02588
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.cc2p0y7x
title: CCDC 2473559: Experimental Crystal Structure Determination

description: Related Article: Jiao Miao, Zu-Xin Yu, Chong-Yang Shi, Xin-Qi Zhu, Bo Zhou, Long-Wu Ye|2025|J.Org.Chem.|90|13201|doi:10.1021/acs.joc.5c01860
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.cc2p1wj5
title: CCDC 2474467: Experimental Crystal Structure Determination

description: Related Article: Tianyi Zhang, William G. Whitehurst, Matthew V. Pecoraro, Junho Kim, Stefan G. Koenig, Paul J. Chirik|2025|J.Am.Chem.Soc.|147|34150|doi:10.1021/jacs.5c12754
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.cc2p1wk6
title: CCDC 2474468: Experimental Crystal Structure Determination

description: Related Article: Tianyi Zhang, William G. Whitehurst, Matthew V. Pecoraro, Junho Kim, Stefan G. Koenig, Paul J. Chirik|2025|J.Am.Chem.Soc.|147|34150|doi:10.1021/jacs.5c12754
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.cc2p1wl7
title: CCDC 2474469: Experimental Crystal Structure Determination

description: Related Article: Tianyi Zhang, William G. Whitehurst, Matthew V. Pecoraro, Junho Kim, Stefan G. Koenig, Paul J. Chirik|2025|J.Am.Chem.Soc.|147|34150|doi:10.1021/jacs.5c12754
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: 10.5066/p18obrk2
title: Gravity data, geophysical grids, and horizontal gradient maxima of the Healdsburg 30 by 60 minute quadrangle, California

description: This data release contains (1) principal facts of gravity measurements by previous studies and collected by the U.S. Geological Survey in 2006-2024, (2) geophysical grids, and (3) horizontal gradient maxima derived from gravity and magnetic potential fields of the Healdsburg 30 by 60 minute quadrangle, California. Gridded data are provided in geotiff format. These data support modeling of gravity and magnetic anomalies to understand the structure beneath this region.
DOI: 10.15468/dl.f38f5s
title: Occurrence Download

description: A dataset containing 1662 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Diplazium mettenianum)"
 ]
}

 The dataset includes 1662 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkrbyp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium suecicum",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009728-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcb6ya
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium suecicum",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009726-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5spe8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium suecicum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckqcte
title: Occurrence Download

description: A dataset containing 87906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tamiasciurus hudsonicus"
 ]
}

 The dataset includes 87906 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009616-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6yyy8
title: Occurrence Download

description: A dataset containing 1688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.7316 32.45213,-111.02353 31.37739,-108.28016 31.37739,-108.25002 31.76267,-106.62208 31.7883,-105.23769 30.78784,-105.35828 37.37257,-109.81988 39.91499,-116.21082 40.19189,-118.74309 38.04037,-114.7316 32.45213))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Heloderma suspectum",
 "Year 2005-2025"
 ]
}

 The dataset includes 1688 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009730-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2tu3t
title: Occurrence Download

description: A dataset containing 8432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Caesalpinia coriaria, Libidibia coriaria, Poinciana coriaria, Caesalpinia paraguariensis)"
 ]
}

 The dataset includes 8432 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009712-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.