cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34760/6800da1b4cde4
title: GLGS
title: Groningen Longitudinal Glaucoma Study

description: General Design

Type: Biobank, Cohort study
Cohort type: Clinical cohort
Data collection type: Prospective
Design: Longitudinal
Design description: cohort followed from 2000 extended with dynamic population
Start/End data collection: 2000 (ongoing)

Population

Countries: Netherlands (the)
Regions: Overijssel, Drenthe, Friesland, Groningen
Number of participants: 10000
Number of participants with samples: 1000
Population age groups: Newborn (0-1 months), Infants and toddlers (2-23 months), Child (2-12 years), Adolescent (13-17 years), Young adult (18-24 years), Adult (25-44 years), Middle-aged (45-64 years), Aged (65-79 years), Aged (80+ years)
Other inclusion criteria: all regular visitors to the glaucoma service of the ophthalmology department, of the UMCG
DOI: 10.15468/dl.z7gu2h
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.60124 40.37531,-3.60065 40.37555,-3.60307 40.38697,-3.62173 40.39078,-3.62441 40.38181,-3.60124 40.37531))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042849-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/ge6y-5wjv-mh0c
title: QuikSCAT Smoothed Data. Version 1.0

description: This dataset contains EPIC 2001 satellite QuikSCAT SeaWinds smoothed data from 10 September to 24 October 2001.
DOI: 10.6084/m9.figshare.30119110
title: Feedback_socialization_reactions_to_failure_Dataset

description: Dataset related to the manuscript entitled "Feedback Socialization and Its Relevance for Reactions to Failure in Young Adulthood"
DOI: 10.6084/m9.figshare.30119110.v1
title: Feedback_socialization_reactions_to_failure_Dataset

description: Dataset related to the manuscript entitled "Feedback Socialization and Its Relevance for Reactions to Failure in Young Adulthood"
DOI: 10.15468/dl.2s5czb
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042852-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/h3evpu
title: Assessing confidence reduces the benefits of response revisions in a general knowledge test - research data

description: This data set includes data from a behavioural experiment. We tested whether the requirement to report confidence while solving a general knowledge test affects metacognitive regulation and improves task performance. The results are published in the European Journal of Psychology of Education.
DOI: 10.15468/dl.hw2wkz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042853-250920141307145/datasets/export for details.
DOI: 10.15468/dl.cxgrr4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042851-250920141307145/datasets/export for details.
DOI: 10.34943/f8af6f56-7b1a-4561-8e6c-c235fdc560ff
title: CanPac Valour Navigation System Deployed 2025-03-18

description: The CanPac Valour Navigation 01 was deployed on 2025-03-18 on CanPac Valour. The offshore supply ship CanPac Valour is owned and operated by CanPac Marine Services Inc. This device is a Navigation System. Navigational instruments are used to measure and record positional information of ships, buoys, and autonomous underwater vehicles (AUVs). Typical sensors include latitude, longitude, speed, heading, pitch, roll, and depth. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/33f9682d-b683-41fd-b123-d9a994b3d8ec
title: CCGS John P. Tully Navigation System Deployed 2025-05-25

description: The C.C.G.S. John P. Tully Navigation 01 was deployed on 2025-05-25 on CCGS John P. Tully. The Canadian Coast Guard Ship (CCGS) John P. Tully is owned and operated by the Canadian Coast Guard. This device is a Navigation System. Navigational instruments are used to measure and record positional information of ships, buoys, and autonomous underwater vehicles (AUVs). Typical sensors include latitude, longitude, speed, heading, pitch, roll, and depth. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/449b447d-0f6c-4f6d-a3b5-3609e56301bc
title: CanPac Valour Navigation System Deployed 2025-05-25

description: The CanPac Valour Navigation 01 was deployed on 2025-05-25 on CanPac Valour. The offshore supply ship CanPac Valour is owned and operated by CanPac Marine Services Inc. This device is a Navigation System. Navigational instruments are used to measure and record positional information of ships, buoys, and autonomous underwater vehicles (AUVs). Typical sensors include latitude, longitude, speed, heading, pitch, roll, and depth. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.26023/cx6r-r2ge-za02
title: TRMM Three Day Composite Data. Version 1.0

description: This dataset contains EPIC 2001 satellite TRMM data from 10 September to 24 October 2001.
DOI: 10.15468/dl.dh7es6
title: Occurrence Download

description: A dataset containing 13181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.18732 9.40272,-12.77404 9.39682,-12.77088 9.71663,-13.18627 9.70924,-13.18732 9.40272))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13181 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042854-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwzrwx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.73978 40.32801,-3.73272 40.32355,-3.7285 40.32804,-3.73421 40.33186,-3.73978 40.32801))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042855-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/7xhr-bmxb-av11
title: R/V New Horizon ADCP. Version 1.0

description: This dataset contains preliminary ADCP data from the EPIC field project's New Horizon Ship. Data provided in netCDF.
DOI: 10.15468/dl.snmnrv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meloidogyne incognita",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042856-250920141307145/datasets/export for details.
DOI: 10.15468/dl.nhpqb2
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.6125 40.45534,-3.59653 40.45534,-3.59653 40.46564,-3.6125 40.46564,-3.6125 40.45534))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1101 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042857-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17068402
title: Dataset for Predicting Hyperspectral Signatures from Multispectral Data using cGANs for Agricultural Applications

description: Predicting Hyperspectral Signatures from Multispectral Data using cGANs for Agricultural Applications

Authors:  Aron Debruyn, Manuel Pérez-Ruiz, Stef Lhermitte, Orly Enrique Apolo Apolo

 

This dataset is for the research on reconstructing high-resolution hyperspectral signatures from multispectral or RGB data using conditional Generative Adversarial Networks (cGANs) for agricultural applications. It provides the data needed to train, validate, and test deep learning models that converts low-dimensional spectral inputs into detailed hyperspectral curves in the 476–914 nm range.

 

Data Collection: The dataset is derived from hyperspectral imagery captured over plots of soft wheat and barley in Seville, Spain, using a Headwall Nano-Hyperspec pushbroom camera. The data includes radiometrically corrected and preprocessed hyperspectral image patches, alongside 22 simulated multispectral/RGB input band scenarios. These scenarios are based on common agricultural sensors (like Micasense) and feature selection methods (MI, PCA), enabling the study of optimal band selection for accurate spectral reconstruction.

Each T_data Numpy file has the shape of (250, 272, 60, 60) which corresponds to (amount of samples, amount of bands, height, width).

Key features:





High-resolution Hyperspectral Data: Contains 272 spectral (397.786–1003.180 nm) the first 35 and last 40 bands should be removed due to excessive noise to give 197 spectral bands (475.973–913.82 nm), ideal for detecting plant stress and biochemical properties.




Simulated Multispectral/RGB Inputs: Includes 22 predefined input band scenarios, from simple RGB to 5-band "Centers" (Blue, Green, Red, Red-Edge, NIR) and two-band combinations, facilitating research on minimal sensor requirements.




Preprocessed Image Patches: Consists of 60x60 pixel samples extracted from the original hyperspectral scans, ready for model input.




Ground Truth for Validation: The original hyperspectral data serves as the target for supervised learning, allowing for precise evaluation of reconstruction accuracy using metrics like RMSE, MRAE, PSNR, SSIM, and SAM.



 

This dataset aims to support researchers in remote sensing, computer vision, and precision agriculture by providing a benchmark for developing and validating spectral reconstruction models. By enabling the generation of hyperspectral-quality data from affordable multispectral or RGB sensors, it helps lower the barrier to advanced crop monitoring. The accompanying code for model training and evaluation can be found at: https://github.com/Aron-Debruyn/Predicting-Hyperspectral-Signatures-from-Multispectral-Data-using-cGANs.
DOI: 10.5281/zenodo.17068401
title: Dataset for Predicting Hyperspectral Signatures from Multispectral Data using cGANs for Agricultural Applications

description: Predicting Hyperspectral Signatures from Multispectral Data using cGANs for Agricultural Applications

Authors:  Aron Debruyn, Manuel Pérez-Ruiz, Stef Lhermitte, Orly Enrique Apolo Apolo

 

This dataset is for the research on reconstructing high-resolution hyperspectral signatures from multispectral or RGB data using conditional Generative Adversarial Networks (cGANs) for agricultural applications. It provides the data needed to train, validate, and test deep learning models that converts low-dimensional spectral inputs into detailed hyperspectral curves in the 476–914 nm range.

 

Data Collection: The dataset is derived from hyperspectral imagery captured over plots of soft wheat and barley in Seville, Spain, using a Headwall Nano-Hyperspec pushbroom camera. The data includes radiometrically corrected and preprocessed hyperspectral image patches, alongside 22 simulated multispectral/RGB input band scenarios. These scenarios are based on common agricultural sensors (like Micasense) and feature selection methods (MI, PCA), enabling the study of optimal band selection for accurate spectral reconstruction.

Each T_data Numpy file has the shape of (250, 272, 60, 60) which corresponds to (amount of samples, amount of bands, height, width).

Key features:





High-resolution Hyperspectral Data: Contains 272 spectral (397.786–1003.180 nm) the first 35 and last 40 bands should be removed due to excessive noise to give 197 spectral bands (475.973–913.82 nm), ideal for detecting plant stress and biochemical properties.




Simulated Multispectral/RGB Inputs: Includes 22 predefined input band scenarios, from simple RGB to 5-band "Centers" (Blue, Green, Red, Red-Edge, NIR) and two-band combinations, facilitating research on minimal sensor requirements.




Preprocessed Image Patches: Consists of 60x60 pixel samples extracted from the original hyperspectral scans, ready for model input.




Ground Truth for Validation: The original hyperspectral data serves as the target for supervised learning, allowing for precise evaluation of reconstruction accuracy using metrics like RMSE, MRAE, PSNR, SSIM, and SAM.



 

This dataset aims to support researchers in remote sensing, computer vision, and precision agriculture by providing a benchmark for developing and validating spectral reconstruction models. By enabling the generation of hyperspectral-quality data from affordable multispectral or RGB sensors, it helps lower the barrier to advanced crop monitoring. The accompanying code for model training and evaluation can be found at: https://github.com/Aron-Debruyn/Predicting-Hyperspectral-Signatures-from-Multispectral-Data-using-cGANs.
DOI: 10.26023/nzpt-whey-4c03
title: R/V New Horizon CTD. Version 1.0

description: This dataset contains preliminary CTD data from the EPIC field project's New Horizon Ship. Data provided in netCDF.
DOI: 10.5281/zenodo.17073404
title: Drone LiDAR dataset of Pangandaran coastal tourism hotspots for tsunami and climate risk valuation and exposure mapping

description: High-resolution UAV–LiDAR dataset acquired over the main coastal tourism hotspots of Pangandaran, West Java, Indonesia. This dataset provides point clouds in LAS format, enabling detailed cadastral-scale representation of coastal infrastructure and landscapes. Data was collected using a DJI Matrice 300 RTK equipped with a CHCNAV AA450 LiDAR payload, with precise positioning supported by Leica GS18T RTK ground control. Multiple mapping flights were flown at around 80 m altitudes above ground level and 70% side overlap, following grid flight paths to ensure dense and overlapping coverage. The resulting point density and georeferencing accuracy support fine-scale extraction of topographic features and built structures within densely visited coastal areas. This is one of the first openly available UAV–LiDAR datasets for an Indonesian coastal tourism region with high tsunami exposure, where such high-resolution 3D data have rarely been accessible. The dataset can be reused in diverse applications, including tsunami hazard exposure mapping, climate risk valuation, coastal planning, digital twin development, and educational purposes in remote sensing and coastal engineering. By providing an openly licensed, well-documented dataset, this contribution offers a baseline resource for research, teaching, and decision support related to disaster risk reduction and sustainable coastal management.
DOI: 10.57903/uj/d2apvr
title: Predictors of self-reported caregiver responsiveness in mothers of infants aged 0-12 months - research data

description: This study examined the psychological determinants of caregiver responsiveness. Focusing on a non-clinical sample of mothers with infants in their first year of life, we conducted an online survey including two distinct measures of caregiver responsiveness, along with validated assessments of parental stress, depressive symptoms, and Big-Five personality traits.
DOI: 10.15468/dl.aj9km9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042858-250920141307145/datasets/export for details.
DOI: 10.34760/65266f2e16391
title: PULMOLINES - stop smoking 

description: General Design

Type: Cohort study
Cohort type: Clinical cohort, Case only
Data collection type: Prospective
Design: Longitudinal
Start/End data collection: 2000 until 2004
PID: https://doi.org/10.34760/65266f2e16391

Population

Countries: Netherlands (the)
Number of participants: 60
Number of participants with samples: 60
Population age groups: Aged (65+ years)
Other inclusion criteria: COPD and healthy controls
DOI: 10.15468/dl.pngf39
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042860-250920141307145/datasets/export for details.
DOI: 10.15468/dl.5tmwu3
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042859-250920141307145/datasets/export for details.
DOI: 10.26023/t0q1-q77b-9a0f
title: NOAA P-3 AXBT Profiles. Version 1.0

description: The EPIC Aircraft P-3 Oceanography AXBT Profiles (RSMAS) dataset is one of several datasets archived by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS) in support of the Eastern Pacific Investigation of Climate (EPIC) project. These data were collected and Quality Controlled by the National Oceanic and Atmospheric Administration Aircraft Operations Center P-3 Aircraft. The Probe type for this DataSet was AXBT - Airborne eXpendable BathyThermograph. No additional Quality Control was performed by UCAR/JOSS.
DOI: 10.15468/dl.dvszn6
title: Occurrence Download

description: A dataset containing 7573390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence, Living Specimen)",
 "Country is United States of America",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7573390 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042792-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/eqew-fb44
title: "Spectral virtual histology of thyroid specimens with a compact laboratory X-ray system"

description: "Iodine plays a central role in thyroid physiology, and knowledge of its spatial distribution may aid diagnostic framing and follow-up of neoplastic thyroid pathologies. Conventional histology is the gold standard for thyroid assessment but consumes biological material, limiting volumetric context and further analyses, and offers limited specificity for iodine. We present a virtual histology (VH) workflow using a compact microtomography X-ray system with a small-pixel spectral detector, combining phase-contrast and spectral imaging to produce volumetric iodine maps together with morphological images. Four formalin-fixed, paraffin-embedded human thyroid specimens (benign and malignant neoplasms and Hashimoto\u2019s thyroiditis) were imaged with this system and benchmarked against a synchrotron reference. The voxel-wise comparison showed strong agreement between laboratory and synchrotron iodine maps (median correlation r = 0.9). Average iodine content varied among samples (about 0.25 to 1.15 mg\/ml), while discrepancies between laboratory and synchrotron quantification were always below 20$\\%$. Comparison with conventional histology confirmed that many pathologically relevant features are visible in spectral VH. This work shows that laboratory spectral VH non-destructively provides volumetric morphology and iodine quantification with fidelity close to synchrotron measurements, and holds promise as an accessible adjunct to histopathology for thyroid lesion characterization."
DOI: 10.34760/6800d5d652eb7
title: VBB
title: Verloskunde biobank

description: General Design

Type: Databank
Cohort type: Clinical cohort, Population cohort, Birth cohort
Start/End data collection: not available

Population

Countries: Netherlands (the)
Population age groups: Prenatal, Young adult (18-24 years), Adult (25-44 years)
Inclusion criteria: Gravidity inclusion criterion
DOI: 10.26023/fwt6-4vva-2j0y
title: Galapagos Surface Meteorology Observations. Version 1.0

description: The EPIC Surface Based Galapagos Meteorology Observations (NOAA/AL) dataset is one of several datasets archived by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS) in support of the Eastern Pacific Investigation of Climate (EPIC) project. These data were collected by the National Oceanic and Atmospheric Administration Aeronomy Lab wind Profiler. No Quality Control was performed by UCAR/JOSS.
DOI: 10.15468/dl.yxycqk
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042864-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.