cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wbr69y
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((39.61646 11.09866, 39.66625 11.09866, 39.66625 11.18012, 39.61646 11.18012, 39.61646 11.09866))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013556-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.putp7g
title: Occurrence Download

description: A dataset containing 4955 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Spodoptera frugiperda J.E.Smith, 1797",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4955 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013557-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpxwqk
title: Occurrence Download

description: A dataset containing 151259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia artemisiifolia L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 151259 records from 1181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013548-241024112534372/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.28283828
title: DPN - Security in UAE

description: The purpose of this study was to investigate the prevalence of Diabetes Mellitus (DM) and associated complications such as Diabetic Peripheral Neuropathy (DPN), and Peripheral Vascular Disease (PVD) among security personnel in the United Arab Emirates (UAE).
DOI: 10.25381/cput.25225124
title: Smart monitoring of sewage infrastructure to alleviate environmental pollution

description: The problem of environmental pollution resulting from sewage spillage is a significant concern in South Africa, a country with aging infrastructure. Municipalities, particularly local municipalities located in rural and semi-rural areas, are tasked with the collection and treatment of household sewage. Manual monitoring methods currently in use are labour-intensive, prone to inaccuracies, and lack real-time data capabilities. This study investigates the feasibility of deploying intelligent monitoring technology to address sewage-related pollution issues. The proposed intelligence involves the utilization of sensors capable of real-time data collection and feedback, aimed at preventing sewage spillage and addressing it promptly. The research is conducted within a local municipality in semi-rural South Africa, serving as a worst-case scenario with findings applicable to more developed regions within the country. The envisioned system leverages advanced technologies and adheres to IEEE standards such as IEEE 1451 for sensor interoperability and IEEE 802.11 for wireless communication. Its primary objectives are real-time monitoring, early pollution detection, and rapid intervention to prevent sewage spillage. A comprehensive literature review highlights the shortcomings of manual sewage monitoring and explores the potential of smart sensors and data-driven solutions in mitigating sewage pollution. The research involves the development of monitoring models and data analytics using MATLAB, with a specific focus on the pump station and sump section of the sewer network. The implementation of this smart sensor and data-driven sewage monitoring system enhances resource allocation efficiency, enables targeted maintenance, and ensures timely responses. The integration of electrical and automation technologies further enhances the reliability, accuracy, and scalability of sewage monitoring operations. The study's findings contribute to the formulation of effective pollution management strategies, inform policy-making decisions, and provide guidance for the implementation of smart monitoring systems in municipalities. These outcomes contribute to sustainable development efforts and a cleaner, healthier environment in South Africa, offering a transferable solution applicable to regions worldwide facing similar challenges.
DOI: 10.25381/cput.25225124.v1
title: <b>Smart monitoring of sewage infrastructure to alleviate environmental pollution</b>

description: The problem of environmental pollution resulting from sewage spillage is a significant concern in South Africa, a country with aging infrastructure. Municipalities, particularly local municipalities located in rural and semi-rural areas, are tasked with the collection and treatment of household sewage. Manual monitoring methods currently in use are labour-intensive, prone to inaccuracies, and lack real-time data capabilities. This study investigates the feasibility of deploying intelligent monitoring technology to address sewage-related pollution issues. The proposed intelligence involves the utilization of sensors capable of real-time data collection and feedback, aimed at preventing sewage spillage and addressing it promptly. The research is conducted within a local municipality in semi-rural South Africa, serving as a worst-case scenario with findings applicable to more developed regions within the country. The envisioned system leverages advanced technologies and adheres to IEEE standards such as IEEE 1451 for sensor interoperability and IEEE 802.11 for wireless communication. Its primary objectives are real-time monitoring, early pollution detection, and rapid intervention to prevent sewage spillage. A comprehensive literature review highlights the shortcomings of manual sewage monitoring and explores the potential of smart sensors and data-driven solutions in mitigating sewage pollution. The research involves the development of monitoring models and data analytics using MATLAB, with a specific focus on the pump station and sump section of the sewer network. The implementation of this smart sensor and data-driven sewage monitoring system enhances resource allocation efficiency, enables targeted maintenance, and ensures timely responses. The integration of electrical and automation technologies further enhances the reliability, accuracy, and scalability of sewage monitoring operations. The study's findings contribute to the formulation of effective pollution management strategies, inform policy-making decisions, and provide guidance for the implementation of smart monitoring systems in municipalities. These outcomes contribute to sustainable development efforts and a cleaner, healthier environment in South Africa, offering a transferable solution applicable to regions worldwide facing similar challenges.
DOI: 10.25381/cput.25338193
title: Development of authentication algorithms for IEC 61850 goose and sampled value messages

description: This study aims to develop an authentication algorithm for Routable-GOOSE (R-GOOSE) or Routable-SV (R-SV). Critical security features must be enabled to support authentication and authorization. The EtM algorithm is proposed for maintaining message confidentiality and integrity, with AES-128 encryption for privacy and MAC algorithms for message authentication. Simulation results indicate that the EtM algorithm can be successfully used for R-SV messages while meeting the stringent 3 ms latency criteria. The results suggest that future IEC 62351 security standards can confidently advocate for encryption for R-SV communication.
DOI: 10.25381/cput.25338193.v3
title: Development of authentication algorithms for IEC 61850 goose and sampled value messages

description: This study aims to develop an authentication algorithm for Routable-GOOSE (R-GOOSE) or Routable-SV (R-SV). Critical security features must be enabled to support authentication and authorization. The EtM algorithm is proposed for maintaining message confidentiality and integrity, with AES-128 encryption for privacy and MAC algorithms for message authentication. Simulation results indicate that the EtM algorithm can be successfully used for R-SV messages while meeting the stringent 3 ms latency criteria. The results suggest that future IEC 62351 security standards can confidently advocate for encryption for R-SV communication.
DOI: 10.25381/cput.25338193.v2
title: <b>Development of authentication algorithms for IEC 61850 goose and sampled value messages</b>

description: This study aims to develop an authentication algorithm for Routable-GOOSE (R-GOOSE) or Routable-SV (R-SV). Critical security features must be enabled to support authentication and authorization. The EtM algorithm is proposed for maintaining message confidentiality and integrity, with AES-128 encryption for privacy and MAC algorithms for message authentication. Simulation results indicate that the EtM algorithm can be successfully used for R-SV messages while meeting the stringent 3 ms latency criteria. The results suggest that future IEC 62351 security standards can confidently advocate for encryption for R-SV communication.
DOI: 10.17632/mznpzcygbz.1
title: LINF_040011200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/g2jbykk3vm.1
title: X-X-X-X (2025) 2.4.3.10 (Anonymized).xlsm

description: This section is an Excel file titled "X-X-X-X (2025) 2.4.3.10 (Anonymized).xlsm," which includes the Web of Science (WOS) downloaded data, process-related data, cleaned (formatted) data, and VBA codes (Note: The VBA codes are compatible exclusively with Excel on Windows).
DOI: 10.17632/brt2zsf7j7
title: Lake ice pehnology of china

description: https://data.mendeley.com/
DOI: 10.17632/brt2zsf7j7.1
title: Lake ice pehnology of china

description: https://data.mendeley.com/
DOI: 10.17632/k586hprt34.1
title: Multiplexed rapid antigen tests developed using multicolored nanoparticles and cross-reactive antibody pairs: Implications for pandemic preparedness

description: We explore use of cross-reactive monoclonal antibody pair generated from a single immunization regimen, along with multicolored nanoparticles, to create rapid antigen diagnostics that specifically detect and distinguish related viruses.
DOI: 10.17632/m68fc6g6yy.1
title: Dataset Self-deception

description: Dataset. Self-Deception in Addiction Rehabilitation: Impulsivity and Self-Efficacy as Predictors of Manipulation and Mystification
DOI: 10.17632/278k27zd4t.1
title: A Comprehensive Mango Leaf Disease Dataset with Semantic Annotations

description: The Mango Leaf Disease dataset comprises a collection of images of mango leaves gathered from an orchard in Ramgarh, Khagrachari, Bangladesh, specifically from Sierra Agro, located at the geographical coordinates 22.98123°N and 91.76185°E. The data collection took place between October 10 and October 12, 2024. The dataset contains a total of 2,731 images, including both healthy leaves and diseased leaves. These images are categorized into five distinct classes: Anthracnose, Dag Disease, Red Rust, Galls, and Healthy. The photographs were taken using the high-resolution camera of an iPhone 12 under natural lighting conditions on sunny days, with temperatures ranging from 28°C to 30°C. The original images were captured in HEIF format and later converted to JPG format, with dimensions of 2543x3390 pixels. For practical use, the images have been resized to 640x480 pixels with a resolution of 72 dpi. Additionally, the dataset includes detailed annotations that categorize the diseases, facilitating semantic segmentation, a feature that has garnered significant attention from data scientists.
DOI: 10.6084/m9.figshare.28302242.v1
title: Supplementary Material for: Pharmacological characterization of GB1908, a selective galectin-1 carbohydrate binding domain inhibitor for the treatment of cancer.

description: Introduction: Galectin-1 (Gal-1) is a lectin that has been shown to be involved in a number of pro-tumorigenic mechanisms and has also been shown to be immune-suppressive. Therefore, pharmacological blockade of Gal-1 has the potential to be therapeutically beneficial in cancers that overexpress this lectin where it is hypothesized to be driving cancer progression. 
Methods: GB1908 is a novel, selective and high affinity inhibitor of the Gal-1 carbohydrate recognition domain and in this study we have pharmacologically characterized this small molecule in a range of in vitro and in vivo systems in the context of cancer therapy. In addition, we used a data-driven approach to identify the cancer types which may benefit from Gal-1 inhibitor therapy. 
Results: The selectivity of GB1908 for Gal-1 compared with galectin-3 (Gal-3) was confirmed in biophysical and cellular assays. GB1908 attenuated Gal-1-induced T cell (Jurkat) apoptosis and reduced the production of immunosuppressive cytokines in a stromal non-small cell lung cancer (NSCLC) tumor microenvironment model. Breast carcinoma and metastatic skin cutaneous melanoma were identified as cancers in which high Gal-1 expression correlated with poorer survival outcomes in patients. Treatment with GB1908 slowed tumor growth in syngeneic mouse models of these cancers.
Conclusion: The inhibition of both tumor growth and immune-suppressive cytokines, in cancers in which high Gal-1 is associated with poorer survival outcomes, suggests a potential therapeutic benefit for Gal-1 inhibitors such as GB1908.
DOI: 10.17632/46pr5ppds5.1
title: Dynamic clade transitions and the influence of vaccination on the spatiotemporal circulation of SARS-CoV-2 variants

description: Genomic data of SARS-CoV-2 from the Northeast region ofSão Paulo state for 2021 and 2022, along with epidemiological data on COVID-19 cases across all regions of Brazil, including São José do Rio Preto and neighboring cities.
DOI: 10.17632/g4b7kwyvz4.1
title: biocomponents in Northern Mexican Caribbean sediments

description: Percentage content of biogenic components in the Northern Mexican Caribbean sediments
DOI: 10.17632/w4xfzcgn5b.1
title: Read code lists for Celiac Disease

description: Read code lists for Celiac Disease
DOI: 10.17632/79p5jgytd2.1
title: Supplementary Material for Digitalized Data and Flowcharts on KME Modeling

description: This supplementary material contains digitalized data tables extracted from Fujimoto et al. (1982) and flowcharts illustrating the parameter optimization workflow for KME constitutive modeling applied to tensile and creep tests.
DOI: 10.17632/ww22mnk9nk.1
title: Readiness of healthcare professionals for integrated healthcare

description: The data was obtained from healthcare professionals in Oti region of Ghana on their readiness to integrate mental healthcare into primary and community care.
DOI: 10.17632/cxwk4s76wd.3
title: Engineered hydrogel biomaterials facilitate lung progenitor cell differentiation from induced pluripotent stem cells

description: Lung progenitor (LP) cells identified by the expression of transcription factor NK2 homeobox 1 (NKX2.1) are essential for development of all lung epithelial cell types and hold tremendous potential for pulmonary research and translational regenerative medicine applications. Here we present engineered hydrogels as a promising alternative to the naturally derived materials that are often used to differentiate human induced pluripotent stem cells (iPSCs) into LP cells. Poly(ethylene glycol) norbornene (PEGNB) hydrogels with defined composition were used to systematically investigate the role of microenvironmental stiffness, cell origin, and splitting during the differentiation process. Results demonstrated that each of these factors impacted LP differentiation efficiency. Soft hydrogels replicating healthy lung stiffness (E = 4.00  0.25 kPa) produced the highest proportion of LP cells (54% by flow cytometry), stiff hydrogels (E = 18.83  2.24 kPa) resulted in 48% differentiation efficiency, and a thin coating of Matrigel on tissue culture (TC) plastic (E~3 GPa) resulted in the lowest proportion of LP cells (32%) at the end of the non-split differentiation protocol. Collectively these results showed that engineered hydrogels enable researchers to control parameters that impact cell differentiation and produce LP cells using well-defined microenvironments that may improve our ability to translate iPSC-derived LP cells into clinical applications.
DOI: 10.17632/zs42wxbvyf.1
title: Recycled aggregate-metakeolin enhanced concrete Compressive Strength DataSet

description: This dataset has been uploaded as a supplementary file for the article "doi.org/10.1016/j.conbuildmat.2025.139897".
DOI: 10.15468/dl.7z4vfd
title: Occurrence Download

description: A dataset containing 2247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is one of (Afghanistan, Pakistan, India, Bangladesh, Sri Lanka, Nepal, Bhutan, Maldives)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Helianthus annuus L., Beta vulgaris L.)",
 "Year 1000-2025"
 ]
}

 The dataset includes 2247 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003444-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gm52hwmb2f.1
title: Diagnosis of cutaneous T-cell lymphoma following exposure to biologic agents for atopic dermatitis: A retrospective cohort study from a single tertiary cancer center: Supplemental Material

description: Supplemental Figure 1 to Diagnosis of cutaneous T-cell lymphoma following exposure to biologic agents for atopic dermatitis: A retrospective cohort study from a single tertiary cancer center in the Journal of the American Academy of Dermatology
DOI: 10.17632/v6n8r3zy2f.1
title: Fumonisin B1 and Zearalenone biomarkers of exposure in Ghana – a biomonitoring exercise

description: This dataset details the chromatographic conditions and parameters for detecting biomarkers of mycotoxin exposures in a study population in Ghana
DOI: 10.17632/v6n8r3zy2f.2
title: Biomonitoring Fumonisin B1 and Zearalenone to Improve Public Food Safety for Female Cereal Value Chain Workers in Ghana

description: This dataset details the chromatographic conditions and parameters for detecting biomarkers of mycotoxin exposures in a study population in Ghana
DOI: 10.17632/v6n8r3zy2f.3
title: Biomonitoring Fumonisin B1 and Zearalenone to Improve Public Food Safety for Female Cereal Value Chain Workers in Ghana

description: This dataset details the chromatographic conditions and parameters for detecting biomarkers of mycotoxin exposures in a study population in Ghana
DOI: 10.60629/sh4d-7678
title: Dane badawcze do artykułu "How to Create Healthy, Stress-Resilient Post-Pandemic Cities"

description: <p>The data presented here were collected as a result of a geo-survey carried out within the framework of the National Science Center&#39;s project entitled. &#34;A stress-resilient city under pandemic conditions (Covid-19)&#34; (DEC-2021/41/B/HS4/02471). These data, which are part of the collected results of the geo-survey, underwent further statistical and graphical processing. These are primarily xls. data, which is the base from which tables (showing percentages, averages, correlation coefficients and other statistical calculations) and figures were prepared.</p>
DOI: 10.15468/dl.5tjbx3
title: Occurrence Download

description: A dataset containing 14698576 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NSW BioNet Atlas"
 ]
}

 The dataset includes 14698576 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003442-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/75jjmbkft7.1
title: A niche driven mechanism determines response and a mutation-independent therapeutic approach for myeloid malignancies- Mosialou et al.

description: Original images of Western blot
DOI: 10.15468/dl.dtt98n
title: Occurrence Download

description: A dataset listing the 43 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term monitoring of woody plants of Doñana shrublands 2008-2023"
 ]
}

 The dataset's 43 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003441-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44j3g9
title: Occurrence Download

description: A dataset listing the 15317 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is NSW BioNet Atlas"
 ]
}

 The dataset's 15317 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003443-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mwn2mwn32t.1
title: Dataset for Hydrothermal Activation of Sugarcane Mill Mud and its Increased Adsorption Capability Manuscript
DOI: 10.17632/mwn2mwn32t.2
title: Dataset for Hydrothermal Activation of Sugarcane Mill Mud and its Increased Adsorption Capability Manuscript
DOI: 10.17632/mwn2mwn32t.3
title: Dataset for Sugarcane Mill Mud and Hydrothermal Activation

description: This set contains raw data presented in the manuscript.
DOI: 10.17632/mwn2mwn32t.4
title: Dataset for Sugarcane Mill Mud and Hydrothermal Carbonisation

description: This set contains raw data presented in the manuscript.
DOI: 10.17632/mwn2mwn32t.5
title: Dataset for Sugarcane Mill Mud and Hydrothermal Carbonisation

description: This set contains raw data presented in the manuscript.
DOI: 10.17632/mwn2mwn32t.6
title: Dataset for Sugarcane Mill Mud and Hydrothermal Carbonisation

description: This set contains raw data presented in the manuscript.
DOI: 10.17632/mb85xp3ftt.1
title: Supplementary materials for the article 'Optimized On-Chip Solar Power Source for Self-Powered Smart Microsensors in Bulk CMOS Process'

description: Supplementary materials for the article 'Optimized On-Chip Solar Power Source for Self-Powered Smart Microsensors in Bulk CMOS Process'
DOI: 10.17632/mb85xp3ftt.2
title: Supplementary materials for the article 'On-chip solar power source for self-powered smart microsensors in bulk CMOS process'

description: Supplementary materials for the article 'On-chip solar power source for self-powered smart microsensors in bulk CMOS process'