cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vy9ufd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.783 1.430183, 100.712715 1.424615, 100.644162 1.408048, 100.57903 1.380891, 100.518921 1.343812, 100.465318 1.297725, 100.41954 1.243765, 100.382714 1.183261, 100.355745 1.117704, 100.339299 1.048707, 100.333777 0.97797, 100.339317 0.907234, 100.355781 0.838242, 100.382762 0.772691, 100.419597 0.712195, 100.465378 0.6582440000000001, 100.518979 0.612166, 100.579078 0.5750960000000001, 100.644198 0.547945, 100.712734 0.531383, 100.783 0.525816, 100.853266 0.531383, 100.921802 0.547945, 100.986922 0.5750960000000001, 101.047021 0.612166, 101.100622 0.6582440000000001, 101.146403 0.712195, 101.183238 0.772691, 101.210219 0.838242, 101.226683 0.907234, 101.232223 0.97797, 101.226701 1.048707, 101.210255 1.117704, 101.183286 1.183261, 101.14646 1.243765, 101.100682 1.297725, 101.047079 1.343812, 100.98697 1.380891, 100.921838 1.408048, 100.853285 1.424615, 100.783 1.430183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002103-260120142942310/datasets/export for details.
DOI: 10.21227/7mvh-pa28
title: "2026 Digital Marketing Trends for Hyderabad Businesses"

description: "As businesses increasingly shift online, the need for a reliable digital marketing company has become more important than ever. Hyderabad, being a fast-growing business and technology hub, is home to companies that compete fiercely for online attention."
DOI: 10.3929/ethz-b-000721636
title: RGBD Dataset with Structure Ground Truth (Cow and Lady, Voxblox)

description: This is a small dataset featuring structure ground truth, vicon poses, and colored RGB pointclouds of a small indoor scene with a cow, mannequin, and a few other typical office accessories. Most importantly, the dataset also contains structure ground truth as a PLY Pointcloud, created from multiple scans with a Leica MS50 professional laser scanner. It is associated with the voxblox publication. See README.pdf for details.
DOI: 10.3929/ethz-c-000788335
title: Dataset for “Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency.”
DOI: 10.3929/ethz-c-000788341
title: Dataset for “Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery”
DOI: 10.3929/ethz-c-000788571
title: Remote Sensing 2018 Weed Map Dataset
DOI: 10.3929/ethz-c-000788607
title: Dynablox Dataset
DOI: 10.15468/dl.d9nxkg
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "GadmGid is SAU.7.20_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 549 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002104-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v73ueq
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((15.067148366774743 48.684904551939276, 15.196396944613253 48.67893508127348, 15.205413491083211 48.765179830021786, 15.07594248918438 48.77116122109017, 15.067148366774743 48.684904551939276))"
 ]
}

 The dataset includes 983 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002105-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2jzd88krks
title: Multi-omics data integration from patients with carotid stenosis illuminates key molecular signatures of atherosclerotic instability

description: Background: Understanding the pathophysiology of unstable atherosclerosis is imperative to prevent myocardial infarction and stroke. Here, we used multi-omics integration to identify key molecular targets with diagnostic and therapeutic potential.

Methods: Biobank of Karolinska Endarterectomies encompassing patients with symptomatic (S) and asymptomatic (AS) carotid atherosclerosis was the main resource. Plaques, peripheral blood monocytes and plasma sampled locally from around plaque or periphery of n&gt;700 individuals, were profiled by transcriptomics, proteomics and metabolomics. A supervised machine learning method DIABLO was used for patient data integration. Multi-omics layers were integrated separately across local and peripheral disease sites, and their intersection, with stratification for symptomatology. Identified analytes were investigated using scRNAseq, clinical and outcome data.

Results: In peripheral circulation, FABP4, IL6, Bilirubin and Sphingomyelin were the most prominent analytes. F11, ANGPTL3, ICOSLG, ITGB1 and Sphingomyelin were enriched in the local disease site, while FABP4, C1R, IL6, Bilirubin and Sphingomyelin appeared at the intersection. Coagulation, necroptosis, inflammation and cholesterol metabolism were confirmed as key pathways determining symptomatology. Clinical analyses showed an impact of lipid-lowering therapy on ICOSLG expression, anti-hypertensives on plasma FABP4 and BLVRB levels, anti-diabetics on plasma Sphingomyelins, while no medications affected ANGPTL3. Association with future adverse events was shown for plasma Bilirubin, Sphingomyelin, ANGPTL3 and ICOSLG plaque levels. Open-source target analyses suggested genetic involvement of F11, C1S, EGFR, IL6, ANGPTL3 in the disease.

Conclusions: Using an innovative, multi-modal data integration machine learning framework, this study provides confirmatory and novel information on mechanisms behind atherosclerotic instability. The findings raise possibilities for translational prioritizations to aid personalized medicine.
DOI: 10.17632/2jzd88krks.2
title: Multi-omics data integration from patients with carotid stenosis illuminates key molecular signatures of atherosclerotic instability

description: Background: Understanding the pathophysiology of unstable atherosclerosis is imperative to prevent myocardial infarction and stroke. Here, we used multi-omics integration to identify key molecular targets with diagnostic and therapeutic potential.

Methods: Biobank of Karolinska Endarterectomies encompassing patients with symptomatic (S) and asymptomatic (AS) carotid atherosclerosis was the main resource. Plaques, peripheral blood monocytes and plasma sampled locally from around plaque or periphery of n&gt;700 individuals, were profiled by transcriptomics, proteomics and metabolomics. A supervised machine learning method DIABLO was used for patient data integration. Multi-omics layers were integrated separately across local and peripheral disease sites, and their intersection, with stratification for symptomatology. Identified analytes were investigated using scRNAseq, clinical and outcome data.

Results: In peripheral circulation, FABP4, IL6, Bilirubin and Sphingomyelin were the most prominent analytes. F11, ANGPTL3, ICOSLG, ITGB1 and Sphingomyelin were enriched in the local disease site, while FABP4, C1R, IL6, Bilirubin and Sphingomyelin appeared at the intersection. Coagulation, necroptosis, inflammation and cholesterol metabolism were confirmed as key pathways determining symptomatology. Clinical analyses showed an impact of lipid-lowering therapy on ICOSLG expression, anti-hypertensives on plasma FABP4 and BLVRB levels, anti-diabetics on plasma Sphingomyelins, while no medications affected ANGPTL3. Association with future adverse events was shown for plasma Bilirubin, Sphingomyelin, ANGPTL3 and ICOSLG plaque levels. Open-source target analyses suggested genetic involvement of F11, C1S, EGFR, IL6, ANGPTL3 in the disease.

Conclusions: Using an innovative, multi-modal data integration machine learning framework, this study provides confirmatory and novel information on mechanisms behind atherosclerotic instability. The findings raise possibilities for translational prioritizations to aid personalized medicine.
DOI: 10.21227/rdeb-sw87
title: "Dimensions and Frequency Tuning Range of Interdigitated Capacitor Sensor for Dielectric Constant of 3.8 and 81"

description: "This dataset provides parametric data for interdigitated capacitor (IDC) radio-frequency biosensors, supporting joint optimization of sensor geometry and Vector Network Analyser (VNA) frequency requirements. The data was generated using Python-based theoretical modeling for FR4 substrate (thickness = 2mm and dielectric constant = 4.3). The dataset is provided in CSV format and includes IDC geometric parameters: finger length (l), finger width (w), finger thickness (t), finger gap (d), and number of fingers (n), along with upper and lower operating frequencies (f\u2081, f\u2082) and frequency tuning range (FTR). Data is reported for two dielectric environments relevant to breast cancer biosensing, selected to span the reported dielectric permittivity range of breast cancer cells (\u03b5\u1d63 \u2248 3\u201381), with \u03b5\u1d63 = 3.8 and \u03b5\u1d63 = 81 representing the lower and upper bounds. The dataset enables systematic analysis of the relationship between IDC dimensions, dielectric properties, and required VNA frequency range."
DOI: 10.17632/643wd79h3j
title: Cytokines in Patients with Allogeneic Stem Cell Transplant Treated with Topical Cyclosporine

description: Graft-Versus-Host Disease(GVHD) is a serious complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT), and ocular involvement is common. Ikervis is increasingly being used in the treatment of ocular symptoms. Detecting cytokines in the tears of allo-HSCT patients after using these eye drops helps to gain a deeper understanding of the drug's mechanism, evaluate treatment efficacy, and provide a basis for optimizing clinical treatment plans. This data collection aims to explore the situation of allo-HSCT patients after using Ikervis.
Data Description included:
(1) Patient Basic Information: Includes patient number, ID, age, gender, etc. 
(2) Disease - related Information: disease diagnosis, disease stage, previous treatment history, etc. 
(3) Eye Drop Information: dosage and frequency.
(4) Ocular Examination Indicators: intraocular pressure, conjunctival hyperemia, tear osmolarity. 
(5) Cytokine Detection: Levels of various cytokines.
Through the analysis of the data on the detection of cytokines in the tears of allo-HSCT patients after using Ikervis eye drops, we have proposed relevant research hypotheses and found some notable phenomena from the data. These findings help us better understand the therapeutic effects of eye drops, the impact of patient characteristics on treatment, and the association between cytokines and ocular symptoms. By reasonably interpreting and using these data, valuable references can be provided for clinical treatment and drug use, ultimately improving the ocular health of allo-HSCT patients. However, it should be noted that this study still has certain limitations, such as a relatively small sample size. In the future, more in - depth research needs to be carried out to improve the relevant conclusions.
DOI: 10.17632/643wd79h3j.4
title: Cytokines in Patients with Allogeneic Stem Cell Transplant Treated with Topical Cyclosporine

description: Graft-Versus-Host Disease(GVHD) is a serious complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT), and ocular involvement is common. Ikervis is increasingly being used in the treatment of ocular symptoms. Detecting cytokines in the tears of allo-HSCT patients after using these eye drops helps to gain a deeper understanding of the drug's mechanism, evaluate treatment efficacy, and provide a basis for optimizing clinical treatment plans. This data collection aims to explore the situation of allo-HSCT patients after using Ikervis.
Data Description included:
(1) Patient Basic Information: Includes patient number, ID, age, gender, etc. 
(2) Disease - related Information: disease diagnosis, disease stage, previous treatment history, etc. 
(3) Eye Drop Information: dosage and frequency.
(4) Ocular Examination Indicators: intraocular pressure, conjunctival hyperemia, tear osmolarity. 
(5) Cytokine Detection: Levels of various cytokines.
Through the analysis of the data on the detection of cytokines in the tears of allo-HSCT patients after using Ikervis eye drops, we have proposed relevant research hypotheses and found some notable phenomena from the data. These findings help us better understand the therapeutic effects of eye drops, the impact of patient characteristics on treatment, and the association between cytokines and ocular symptoms. By reasonably interpreting and using these data, valuable references can be provided for clinical treatment and drug use, ultimately improving the ocular health of allo-HSCT patients. However, it should be noted that this study still has certain limitations, such as a relatively small sample size. In the future, more in - depth research needs to be carried out to improve the relevant conclusions.
DOI: 10.17632/c22yvxp6rn.1
title: Percentages (%) of the pollen in different fecal samples on the Qinghai-Tibet Plateau

description: We collected 165 fecal samples from 7 species of wild herbivores on the Qinghai-Xizang Plateau and conducted pollen analysis. This dataset contains the pollen percentage content of 7 herbivorous animals.
DOI: 10.17632/mb5499bh6c
title: Spent Alkaline Battery Data

description: Characterization data of sample using SEM and XRD and XRF for leachate
DOI: 10.17632/mb5499bh6c.1
title: Spent Alkaline Battery Data

description: Characterization data of sample using SEM and XRD and XRF for leachate
DOI: 10.15468/dl.brz83b
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Heteroscymnoides marleyi"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002106-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zp9p2v7zcr
title: Replication archive for Solleder, Silvy, and Olarreaga (2026)

description: This is the replication archive for the paper Please see the readme file for more information.
DOI: 10.17632/zp9p2v7zcr.1
title: Replication archive for Solleder, Silvy, and Olarreaga (2026)

description: This is the replication archive for the paper Please see the readme file for more information.
DOI: 10.17632/vp7wfnvv4v
title: The trinomial commitment, satisfaction and organizational justice in the binomial happiness and turnover intention

description: Abstract: the aim of this study was to empirically analyze the relationships between the dimensions of organizational justice, job satisfaction, and organizational commitment with work happiness and turnover intention among academic workers in Mexico. To this end, a sample of 393 higher education faculty members in Mexico was surveyed. The statistical technique of structural equation modeling (CB-SEM) was used to analyze the 
data. The study’s results show that, on the one hand, the variables of job satisfaction, organizational commitment, and organizational justice are interrelated among these workers, and on the other hand, that these variables positively explain work happiness and negatively explain turnover intention. This information is relevant for university leaders to undertake a strategic direction oriented towards Happiness Management. This way, their human capital can perform their professional activities in an environment of positive emotions, creativity, joy, and subjective well-being.
DOI: 10.17632/vp7wfnvv4v.1
title: The trinomial commitment, satisfaction and organizational justice in the binomial happiness and turnover intention

description: Abstract: the aim of this study was to empirically analyze the relationships between the dimensions of organizational justice, job satisfaction, and organizational commitment with work happiness and turnover intention among academic workers in Mexico. To this end, a sample of 393 higher education faculty members in Mexico was surveyed. The statistical technique of structural equation modeling (CB-SEM) was used to analyze the 
data. The study’s results show that, on the one hand, the variables of job satisfaction, organizational commitment, and organizational justice are interrelated among these workers, and on the other hand, that these variables positively explain work happiness and negatively explain turnover intention. This information is relevant for university leaders to undertake a strategic direction oriented towards Happiness Management. This way, their human capital can perform their professional activities in an environment of positive emotions, creativity, joy, and subjective well-being.
DOI: 10.17632/z54f5ncj23
title: Spatiotemporal Distribution and Uncertainty of Soil C:N Ratios in Global 0-30cm and 30-100cm Soil Layers

description: We collected 36997 soil C:N data points for the 0-30 cm layer and 31691 data points for the 30-100 cm layer, integrating a total of 24 environmental covariates from five categories closely related to soil C:N, including climate, vegetation, topography, soil properties, and human activities. A zonal direct modeling strategy was employed in conjunction with quantile random forest to develop the predictive models. The 10-fold cross-validation results demonstrated that the model achieved an R² of 0.77 for C:N030 and 0.71 for C:N30100. Based on this model, the spatial distribution and uncertainty of global soil C:N for the 0-30 cm and 30-100 cm layers were mapped at a 1 km resolution. Comparative analysis indicates that the 1 km global soil C:N dataset produced in this study exhibits higher accuracy than existing products.
DOI: 10.17632/z54f5ncj23.1
title: Spatiotemporal Distribution and Uncertainty of Soil C:N Ratios in Global 0-30cm and 30-100cm Soil Layers

description: We collected 36997 soil C:N data points for the 0-30 cm layer and 31691 data points for the 30-100 cm layer, integrating a total of 24 environmental covariates from five categories closely related to soil C:N, including climate, vegetation, topography, soil properties, and human activities. A zonal direct modeling strategy was employed in conjunction with quantile random forest to develop the predictive models. The 10-fold cross-validation results demonstrated that the model achieved an R² of 0.77 for C:N030 and 0.71 for C:N30100. Based on this model, the spatial distribution and uncertainty of global soil C:N for the 0-30 cm and 30-100 cm layers were mapped at a 1 km resolution. Comparative analysis indicates that the 1 km global soil C:N dataset produced in this study exhibits higher accuracy than existing products.
DOI: 10.17632/jcvxm4gh7d
title: TeaLeafDiseaseBD: Annotated smartphone images and lesion-level labels of tea leaf diseases from Bangladesh

description: This dataset contains 13,085 high-resolution images of tea leaves which has been taken using CMF Phone 2 Pro (a 50-megapixel camera phone) in the autumn of the year 2025. The images were collected from the three major tea-producing areas of Sylhet, Sreemangal, and Habiganj, Bangladesh, which ensured there was a wide variety of geography and environments. Every single tea leaf was taken against a black background in order to reduce visual interference and clearly show the disease and the natural leaf variability.

There are seven classes within the data set, consisting of one healthy class and six types of diseases commonly found on tea leaves these are: Red Spider, Brown Blight, Gray Blight, Helopeltis, Algal Leaf Spot, and Red Rust. Disease labeling was done together with professionals from the Agricultural Department, thus, assuring the precision and trustworthiness of the field. The size of all images was set to 1024 × 1024 pixels and they were normalized to that size, which resulted in reproducibility and stable performance across vision models.

Each of the labels of classification besides those that are of diseases at the level of the whole region was also included in the dataset. Lesion regions were marked using an automated computer vision pipeline that had HSV color segmentation, morphological filtering, and connected-component analysis in its composition. This automated method was chosen over manual because it could significantly reduce inter-annotator variability and ensure consistency in lesion segmentation. Annotations contain bounding boxes that are intended to mark biologically relevant regions of interest.

All the created annotations were checked strictly to make sure that background noise and fragmented detections were eliminated. The corresponding annotation files are available in YOLO-compatible plain-text format, which makes it possible to directly use them in object detection workflows. The dataset does not have pre-established
DOI: 10.17632/jcvxm4gh7d.2
title: TeaLeafDiseaseBD: Annotated smartphone images and lesion-level labels of tea leaf diseases from Bangladesh

description: This dataset contains 13,085 high-resolution images of tea leaves which has been taken using CMF Phone 2 Pro (a 50-megapixel camera phone) in the autumn of the year 2025. The images were collected from the three major tea-producing areas of Sylhet, Sreemangal, and Habiganj, Bangladesh, which ensured there was a wide variety of geography and environments. Every single tea leaf was taken against a black background in order to reduce visual interference and clearly show the disease and the natural leaf variability.

There are seven classes within the data set, consisting of one healthy class and six types of diseases commonly found on tea leaves these are: Red Spider, Brown Blight, Gray Blight, Helopeltis, Algal Leaf Spot, and Red Rust. Disease labeling was done together with professionals from the Agricultural Department, thus, assuring the precision and trustworthiness of the field. The size of all images was set to 1024 × 1024 pixels and they were normalized to that size, which resulted in reproducibility and stable performance across vision models.

Each of the labels of classification besides those that are of diseases at the level of the whole region was also included in the dataset. Lesion regions were marked using an automated computer vision pipeline that had HSV color segmentation, morphological filtering, and connected-component analysis in its composition. This automated method was chosen over manual because it could significantly reduce inter-annotator variability and ensure consistency in lesion segmentation. Annotations contain bounding boxes that are intended to mark biologically relevant regions of interest.

All the created annotations were checked strictly to make sure that background noise and fragmented detections were eliminated. The corresponding annotation files are available in YOLO-compatible plain-text format, which makes it possible to directly use them in object detection workflows. The dataset does not have pre-established
DOI: 10.17632/75n5wyvrfc
title: Table S1. Denholm Potassium sorbate acceptable doses

description: Supplementary information on acceptable dose rates for potassium sorbate in various species
DOI: 10.17632/75n5wyvrfc.1
title: Table S1. Denholm Potassium sorbate acceptable doses

description: Supplementary information on acceptable dose rates for potassium sorbate in various species