cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/963h6nmnyj
title: Field and laboratory data for assessing soil salinity and crop stress using Sentinel-2

description: Soil salinity and waterlogging pose significant threats to agricultural productivity in irrigated command areas, particularly in semi-arid regions like the Ghataprabha command area in Karnataka, India. This study leverages Sentinel-2 multispectral imagery from March 2024, processed via Google Earth Engine, to delineate salinity classes and assess their spectral signatures. Ground truth data from 120 soil samples (0-30 cm depth) were used to validate electrical conductivity (ECe) levels ranging from &lt;3 to &gt;12 dS m-1. Key spectral bands (Blue, Green, Red, NIR, SWIR1) and indices (NDVI, NDSI, RVI, SAVI, SASI, NDWI, EVI, SBI, SI, SI1, CSI, SI2) were analysed for correlations with ECe. Results reveal strong linear relationships in individual bands (r = 0.98-0.99, p &lt; 0.01) and a multiple regression model (R2 = 1) incorporating all bands. Vegetation indices like EVI showed moderate negative correlations (r = -0.26, p &lt; 0.01), while salinity-specific indices exhibited weaker associations. The approach achieved high accuracy in mapping salinity extents, highlighting Sentinel-2's efficacy for operational monitoring in tropical semi-arid agroecosystems.
DOI: 10.17632/963h6nmnyj.1
title: Field and laboratory data for assessing soil salinity and crop stress using Sentinel-2

description: Soil salinity and waterlogging pose significant threats to agricultural productivity in irrigated command areas, particularly in semi-arid regions like the Ghataprabha command area in Karnataka, India. This study leverages Sentinel-2 multispectral imagery from March 2024, processed via Google Earth Engine, to delineate salinity classes and assess their spectral signatures. Ground truth data from 120 soil samples (0-30 cm depth) were used to validate electrical conductivity (ECe) levels ranging from &lt;3 to &gt;12 dS m-1. Key spectral bands (Blue, Green, Red, NIR, SWIR1) and indices (NDVI, NDSI, RVI, SAVI, SASI, NDWI, EVI, SBI, SI, SI1, CSI, SI2) were analysed for correlations with ECe. Results reveal strong linear relationships in individual bands (r = 0.98-0.99, p &lt; 0.01) and a multiple regression model (R2 = 1) incorporating all bands. Vegetation indices like EVI showed moderate negative correlations (r = -0.26, p &lt; 0.01), while salinity-specific indices exhibited weaker associations. The approach achieved high accuracy in mapping salinity extents, highlighting Sentinel-2's efficacy for operational monitoring in tropical semi-arid agroecosystems.
DOI: 10.17632/s7m6ys9rpc
title: Mapping Soil Salinity and Waterlogging in the Ghataprabha Command Area, Karnataka, India: Insights from Sentinel-2 Multispectral Imagery and Ground Truth Validation

description: Soil salinity and waterlogging pose significant threats to agricultural productivity in irrigated command areas, particularly in semi-arid regions like the Ghataprabha command area in Karnataka, India. This study leverages Sentinel-2 multispectral imagery from March 2024, processed via Google Earth Engine, to delineate salinity classes and assess their spectral signatures. Ground truth data from 120 soil samples (0-30 cm depth) were used to validate electrical conductivity (ECe) levels ranging from &lt;3 to &gt;12 dS m-1. Key spectral bands (Blue, Green, Red, NIR, SWIR1) and indices (NDVI, NDSI, RVI, SAVI, SASI, NDWI, EVI, SBI, SI, SI1, CSI, SI2) were analysed for correlations with ECe. Results reveal strong linear relationships in individual bands (r = 0.98-0.99, p &lt; 0.01) and a multiple regression model (R2 = 1) incorporating all bands. Vegetation indices like EVI showed moderate negative correlations (r = -0.26, p &lt; 0.01), while salinity-specific indices exhibited weaker associations. The approach achieved high accuracy in mapping salinity extents, highlighting Sentinel-2's efficacy for operational monitoring in tropical semi-arid agroecosystems.
DOI: 10.17632/s7m6ys9rpc.1
title: Mapping Soil Salinity and Waterlogging in the Ghataprabha Command Area, Karnataka, India: Insights from Sentinel-2 Multispectral Imagery and Ground Truth Validation

description: Soil salinity and waterlogging pose significant threats to agricultural productivity in irrigated command areas, particularly in semi-arid regions like the Ghataprabha command area in Karnataka, India. This study leverages Sentinel-2 multispectral imagery from March 2024, processed via Google Earth Engine, to delineate salinity classes and assess their spectral signatures. Ground truth data from 120 soil samples (0-30 cm depth) were used to validate electrical conductivity (ECe) levels ranging from &lt;3 to &gt;12 dS m-1. Key spectral bands (Blue, Green, Red, NIR, SWIR1) and indices (NDVI, NDSI, RVI, SAVI, SASI, NDWI, EVI, SBI, SI, SI1, CSI, SI2) were analysed for correlations with ECe. Results reveal strong linear relationships in individual bands (r = 0.98-0.99, p &lt; 0.01) and a multiple regression model (R2 = 1) incorporating all bands. Vegetation indices like EVI showed moderate negative correlations (r = -0.26, p &lt; 0.01), while salinity-specific indices exhibited weaker associations. The approach achieved high accuracy in mapping salinity extents, highlighting Sentinel-2's efficacy for operational monitoring in tropical semi-arid agroecosystems.
DOI: 10.5281/zenodo.18248354
title: Bambusa Schreb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18248355
title: Bambusa Schreb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.17632/5tyz49skyr
title: SupplementaryData_CL1

description: Supplementary data table for manuscript: Investigating the genetic architecture of dairy calf disease traits and their relationships with traits of economic importance in Canadian Holstein cattle
DOI: 10.17632/5tyz49skyr.1
title: SupplementaryData_CL1

description: Supplementary data table for manuscript: Investigating the genetic architecture of dairy calf disease traits and their relationships with traits of economic importance in Canadian Holstein cattle
DOI: 10.17632/yjhp6pdst5
title: BREQ-3 IN PATIENTS AND STUDENTS

description: Data and codes for reproducing the analyses from the study about the psychometric properties of the Behavioral Regulation in Exercise Questionnaire-3 in Chilean patients with chronic pain and a non-clinical sample. Tables with complete descriptives of the samples used in the study are also included.
DOI: 10.17632/yjhp6pdst5.2
title: BREQ-3 IN PATIENTS AND STUDENTS

description: Data and codes for reproducing the analyses from the study about the psychometric properties of the Behavioral Regulation in Exercise Questionnaire-3 in Chilean patients with chronic pain and a non-clinical sample. Tables with complete descriptives of the samples used in the study are also included.
DOI: 10.7910/dvn/zshpip
title: Public statements from Forces Nouvelles rebel elites, Cote d'Ivoire, 2003-2004

description: The document contains English transcripts of all public statements issued by leaders of the Forces Nouvelles (FN) rebellion in the early stages of the civil war and peace process in Cote d'Ivoire, between January 2003 and December 2004. This includes press releases, news conferences, and radio and television interviews. Unless otherwise indicated by name and role, all quotes are attributed to Guillaume Soro, Chairman of the FN and Minister of Communication in the Government of National Reconciliation. Where transcripts are unavailable, a summary of the statement is provided in italics.
DOI: 10.17632/d8jf99kb32.1
title: Investigating ethical leadership and employee pro-environmental behaviors nexus: A dataset in the Vietnamese hospitality industry

description: This dataset was built from an online survey in the Vietnamese hospitality industry. The dataset investigates the influence of perceived corporate social responsibility and ethical leadership on pro-environmental behaviors of employees at the workplace.
DOI: 10.17632/wjypvknpp6
title: VVM Clinical Course

description: This is the supplementary material for our research "Diverse Clinical Course and Features of Verrucous Venous Malformation"
DOI: 10.17632/wjypvknpp6.1
title: VVM Clinical Course

description: This is the supplementary material for our research "Diverse Clinical Course and Features of Verrucous Venous Malformation"
DOI: 10.15468/dl.n2urxd
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Viet Nam, Lao People’s Democratic Republic, Cambodia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schima"
 ]
}

 The dataset includes 86 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009610-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y52spfj2bg
title: PhD thesis Jan-Clemens Cremer LC-MS data

description: Results provived for:
- Amino acids extraction solvent influence on sensitivity (Peak area / AUC in counts)
- Amino acids m/z accuracy (selectivity) on timsTOF
- Amino acids Linearity raw data
-Metabolomics method Extraction solvent comparison peak area results
DOI: 10.5281/zenodo.18248364
title: Bambusa tacuara Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.17632/y52spfj2bg.1
title: PhD thesis Jan-Clemens Cremer LC-MS data

description: Results provived for:
- Amino acids extraction solvent influence on sensitivity (Peak area / AUC in counts)
- Amino acids m/z accuracy (selectivity) on timsTOF
- Amino acids Linearity raw data
-Metabolomics method Extraction solvent comparison peak area results
DOI: 10.3886/e244178
title: Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water

description: 2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html
description: (Downloaded 1/12/2026)
DOI: 10.5281/zenodo.18248363
title: Bambusa tacuara Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.3886/e244178v1
title: Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water

description: 2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at http://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: http://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html
description: (Downloaded 1/12/2026)
DOI: 10.17632/yb65trwbd8.2
title: PavementDamagesG-7

description: This repository contains a dataset (PavementDamagesG-7.zip) focused on the detection and classification of surface damage in flexible pavements. The dataset is designed to support computer vision tasks such as segmentation and classification, especially for research in infrastructure monitoring and automated road condition assessment.
DOI: 10.7910/dvn/m6ihs9
title: Replication Data for: Survey Experience and Nonresponse in an Online Probability Panel: A Survival Analysis

description: We fit discrete-time survival models to data from an online probability panel (OPP), where the outcome is the respondent’s first nonresponse to a survey invitation, following at least one previous survey completion. This approach has the advantage of utilising information about survey experiences over multiple survey waves, while accommodating the unbalanced data structure typical of OPPs, where the number, timing and content of survey invitations varies widely between panel members. We show that the nature and quality of previous survey experience has a strong influence on the propensity to respond to the next survey invitation. Longer surveys, reporting a survey as less enjoyable, a phone interview, and more days since the last survey invitation are found to be important predictors of nonresponse. We also find strong effects of personality on response propensity across survey invit- ations. Our findings have important implications for survey designers wishing to minimise nonresponse and attrition from OPPs.
DOI: 10.17632/hrjn4dy6z9
title: MicroNucML: A machine learning approach for micronuclei segmentation and the refinement of nuclei-micronuclei relationships

description: Benchmark dataset for micronuclei detection and segmentation. Contains tiles from training and testing (H2B-GFP.zip), as well as tiles used to evaluate the model's performance on images with different colour and quality (H2B-mCherry.zip). 

Images were obtained at 20x magnification (0.625 µm/pixel resolution) from an Incucyte, a live image microscope. Cells imaged include MCF10A and RPE-1 cells exposed to a variety of DNA damaging agents, including radiation. Micronuclei were labelled using LabelStudio, then refined with SAM2. Quality checking was done manually after. 
- H2B-GFP.zip : tiles labelled off of pseudo-green images. Includes tiles used in training and testing.
- H2B-mCherry.zip: tiles labelled off of original grey-scaled images, and pseudo-red images. 

Preprint: https://www.biorxiv.org/content/10.1101/2025.09.20.677550v1.full.pdf
Github: https://github.com/kumarlab-compomics/MicroNuclei_Detection
DOI: 10.17632/hrjn4dy6z9.1
title: MicroNucML: A machine learning approach for micronuclei segmentation and the refinement of nuclei-micronuclei relationships

description: Benchmark dataset for micronuclei detection and segmentation. Contains tiles from training and testing (H2B-GFP.zip), as well as tiles used to evaluate the model's performance on images with different colour and quality (H2B-mCherry.zip). 

Images were obtained at 20x magnification (0.625 µm/pixel resolution) from an Incucyte, a live image microscope. Cells imaged include MCF10A and RPE-1 cells exposed to a variety of DNA damaging agents, including radiation. Micronuclei were labelled using LabelStudio, then refined with SAM2. Quality checking was done manually after. 
- H2B-GFP.zip : tiles labelled off of pseudo-green images. Includes tiles used in training and testing.
- H2B-mCherry.zip: tiles labelled off of original grey-scaled images, and pseudo-red images. 

Preprint: https://www.biorxiv.org/content/10.1101/2025.09.20.677550v1.full.pdf
Github: https://github.com/kumarlab-compomics/MicroNuclei_Detection
DOI: 10.17632/t32dhn8cfx
title: Food addiction: EEG and preferences

description: This file contains all anthropometrical, dietatary and preference data of the subset participants included in this work. The last columns represent the EEG data.
DOI: 10.17632/t32dhn8cfx.1
title: Food addiction: EEG and preferences

description: This file contains all anthropometrical, dietatary and preference data of the subset participants included in this work. The last columns represent the EEG data.
DOI: 10.17632/cv66sgfcfn
title: PICTographPlus: Data Sets and Resources

description: All the code are freely available at https://github.com/KarchinLab/pictographPlus and https://github.com/KarchinLab/PICTographPlus_manuscript. 

Benchmarking dataset
-------------------------------------------------------------------------------
all_cells_with_hmm.rds: inferCNV object containing copy number results
cell_groups.rds: inferCNV cell grouping results
tree.csv: copy number tree
benchmarking_PICTographPlus_results.csv: collected results from benchmarking dataset using PICTographPlus
benchmarking_baseline_results.csv: collected results from benchmarking dataset using the baseline analysis

Case analysis dataset
-------------------------------------------------------------------------------
gene_sets_extended.txt: gene sets used for GSEA analysis

Inputs:

CRUK0004_input: input data for TRACERx patient. 
 CRUK0004_SNV.csv: input somatic mutation file
 CRUK0004_facets.csv: input somatic copy number file
 CRUK0004_RNA.csv: input RNA read counts

MK74_input: input data for Semaan et al. IPMN patient.
 MK74_snv.csv: input somatic mutation file
 MK74_cn.csv: input somatic copy number file
 MK74_rna.csv: input RNA read counts

PCSI0380_input: input data for PanCuRx PDAC patient.
 PCSI0380_snv.csv: input somatic mutation/copy number file
 PCSI0380_.csv: input RNA read counts

Outputs:

CRUK0004_output: output data for TRACERx patient. 
MK74_output: output data for Semaan et al. IPMN patient.
PCSI0380_output: output data for PanCuRx PDAC patient.

Each of the above output folder contains the following files:
 tree.csv: PICTographPlus tree
 subclone_proportion.csv: subclone proportion for each sample
 clusterAssign.csv: assignment of mutation to each cluster
 purity.csv: estimated purity per sample
 mcf.csv: cluster mutation cellular fraction
 clonal_expression.csv: clone-level gene expression
 GSEA: gene set enrichment analysis results
DOI: 10.17632/cv66sgfcfn.1
title: PICTographPlus: Data Sets and Resources

description: All the code are freely available at https://github.com/KarchinLab/pictographPlus and https://github.com/KarchinLab/PICTographPlus_manuscript. 

Benchmarking dataset
-------------------------------------------------------------------------------
all_cells_with_hmm.rds: inferCNV object containing copy number results
cell_groups.rds: inferCNV cell grouping results
tree.csv: copy number tree
benchmarking_PICTographPlus_results.csv: collected results from benchmarking dataset using PICTographPlus
benchmarking_baseline_results.csv: collected results from benchmarking dataset using the baseline analysis

Case analysis dataset
-------------------------------------------------------------------------------
gene_sets_extended.txt: gene sets used for GSEA analysis

Inputs:

CRUK0004_input: input data for TRACERx patient. 
 CRUK0004_SNV.csv: input somatic mutation file
 CRUK0004_facets.csv: input somatic copy number file
 CRUK0004_RNA.csv: input RNA read counts

MK74_input: input data for Semaan et al. IPMN patient.
 MK74_snv.csv: input somatic mutation file
 MK74_cn.csv: input somatic copy number file
 MK74_rna.csv: input RNA read counts

PCSI0380_input: input data for PanCuRx PDAC patient.
 PCSI0380_snv.csv: input somatic mutation/copy number file
 PCSI0380_.csv: input RNA read counts

Outputs:

CRUK0004_output: output data for TRACERx patient. 
MK74_output: output data for Semaan et al. IPMN patient.
PCSI0380_output: output data for PanCuRx PDAC patient.

Each of the above output folder contains the following files:
 tree.csv: PICTographPlus tree
 subclone_proportion.csv: subclone proportion for each sample
 clusterAssign.csv: assignment of mutation to each cluster
 purity.csv: estimated purity per sample
 mcf.csv: cluster mutation cellular fraction
 clonal_expression.csv: clone-level gene expression
 GSEA: gene set enrichment analysis results
DOI: 10.15468/dl.sn4xpu
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.29.11_1","matchCase":false},{"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 56 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009611-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jrrb76x82h
title: Optimized UAV-Based Digital Phenotyping for Enhanced Breeding Efficiency in Megathyrsus maximus

description: This dataset supports a research article on optimizing UAV-based phenotyping for a biparental population of Megathyrsus maximus. It includes trained machine learning models and phenotypic data obtained from both conventional field measurements and RGB image–derived digital features.
DOI: 10.17632/jrrb76x82h.1
title: Optimized UAV-Based Digital Phenotyping for Enhanced Breeding Efficiency in Megathyrsus maximus

description: This dataset supports a research article on optimizing UAV-based phenotyping for a biparental population of Megathyrsus maximus. It includes trained machine learning models and phenotypic data obtained from both conventional field measurements and RGB image–derived digital features.
DOI: 10.17632/mwwz66nf5y
title: Survey data on the Understanding and Implementation of Sustainability Communication in SME

description: This data analyzes how sustainability communication is understood and implemented by small and medium sized enterprises (SMEs) in Latvia, identifying key challenges and opportunieties. The study indicates that sustainability communication is primarly used to boost sales, strengthen branding and enhance reputation.
DOI: 10.17632/mwwz66nf5y.1
title: Survey data on the Understanding and Implementation of Sustainability Communication in SME

description: This data analyzes how sustainability communication is understood and implemented by small and medium sized enterprises (SMEs) in Latvia, identifying key challenges and opportunieties. The study indicates that sustainability communication is primarly used to boost sales, strengthen branding and enhance reputation.
DOI: 10.17632/95syyp422h
title: Myliobatid ray gliding dynamics: experimental tests of body shape and tail length on stability

description: Raw accelerometer data from four myliobatid models. Each file contains raw data from one experimental trial of a given model (DM1, DM2, DM3, and AM). Files containing calculated raw pitch range (radians), roll range (radians), and ODBA (g) values are also included for all models and trials.
DOI: 10.17632/95syyp422h.1
title: Myliobatid ray gliding dynamics: experimental tests of body shape and tail length on stability

description: Raw accelerometer data from four myliobatid models. Each file contains raw data from one experimental trial of a given model (DM1, DM2, DM3, and AM). Files containing calculated raw pitch range (radians), roll range (radians), and ODBA (g) values are also included for all models and trials.
DOI: 10.17632/t6prrzjzcx
title: Antibiotics Resistance pattern and Resistance genes In UTI.

description: This dataset contains the raw experimental data generated during the molecular identification and antibiotic resistance analysis of bacterial pathogens isolated from urinary tract infection (UTI) samples.
DOI: 10.17632/t6prrzjzcx.1
title: Antibiotics Resistance pattern and Resistance genes In UTI.

description: This dataset contains the raw experimental data generated during the molecular identification and antibiotic resistance analysis of bacterial pathogens isolated from urinary tract infection (UTI) samples.