cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29819119.v1
title: Evidence level for pharmacogenetic testing in antidepressant treatment: a systematic review

description: Preemptive pharmacogenetic (PGx) testing offers a promising approach to personalized antidepressant treatment by identifying genetic variations influencing drug metabolism. By focusing on CYP2D6 and CYP2C19 genes, this strategy aims to improve treatment response, minimize adverse effects, and optimize dosing in patients with depression. This systematic review evaluates the effectiveness of preemptive PGx testing, primarily for CYP2D6 and CYP2C19, in enhancing antidepressant treatment outcomes. A comprehensive search of databases, including PubMed and Embase, was conducted to identify relevant studies. The review included randomized controlled trials and meta-analyses that assessed PGx testing in relation to treatment response and remission. Data on clinical outcomes were extracted and analyzed. PGx testing led to improved antidepressant response rates and remission at 8- and 12-week follow-ups compared to treatment-as-usual (TAU). However, where data were available, benefits were less pronounced after six months of follow-up. The findings suggest that PGx testing plays an important role in achieving earlier remission, while TAU requires a longer time to achieve remission. Preemptive pharmacogenetic testing for CYP2D6 and CYP2C19 could enhance early antidepressant treatment outcomes, offering a valuable tool for personalized medicine. Further research is required to explore implementation challenges in diverse clinical settings.
DOI: 10.6084/m9.figshare.29912002
title: Opportunistic analysis of clinically actionable DPYD gene variants in a germline testing cohort in India

description: Dihydropyrimidine dehydrogenase (DPYD) plays a critical role in the metabolism of fluoropyrimidine-based chemotherapies such as 5-fluorouracil (5-FU), capecitabine, and tegafur. Genetic variants in DPYD can lead to partial or complete enzyme deficiency, resulting in toxic accumulation of these drugs and severe, sometimes fatal, adverse reactions. Whole‑exome sequencing data from 1,612 individuals were analyzed for DPYD variants. Variants were classified as decreased, no function, or potentially deleterious. Comparative allele frequency analysis was performed using global population datasets to identify inter-population differences. A total of 95 individuals (5.3%) carried at least one decreased or no function DPYD variant, indicating a significant prevalence of clinically actionable genotypes in this Indian cohort. The most frequent variant, c.1236 G &gt; A (HapB3), was found in 53 individuals (3.28%), supporting its relevance in the Indian population. Comparative analysis revealed distinct population patterns and novel variants not captured in current guidelines. These results support the urgency in implementing preemptive DPYD genotyping to avoid adverse drug reactions and further studies to gather evidence on rare and novel variants in the Indian population. To the best of our knowledge, this is the largest population analysis of DPYD variants from India.
DOI: 10.6084/m9.figshare.29912002.v1
title: Opportunistic analysis of clinically actionable DPYD gene variants in a germline testing cohort in India

description: Dihydropyrimidine dehydrogenase (DPYD) plays a critical role in the metabolism of fluoropyrimidine-based chemotherapies such as 5-fluorouracil (5-FU), capecitabine, and tegafur. Genetic variants in DPYD can lead to partial or complete enzyme deficiency, resulting in toxic accumulation of these drugs and severe, sometimes fatal, adverse reactions. Whole‑exome sequencing data from 1,612 individuals were analyzed for DPYD variants. Variants were classified as decreased, no function, or potentially deleterious. Comparative allele frequency analysis was performed using global population datasets to identify inter-population differences. A total of 95 individuals (5.3%) carried at least one decreased or no function DPYD variant, indicating a significant prevalence of clinically actionable genotypes in this Indian cohort. The most frequent variant, c.1236 G &gt; A (HapB3), was found in 53 individuals (3.28%), supporting its relevance in the Indian population. Comparative analysis revealed distinct population patterns and novel variants not captured in current guidelines. These results support the urgency in implementing preemptive DPYD genotyping to avoid adverse drug reactions and further studies to gather evidence on rare and novel variants in the Indian population. To the best of our knowledge, this is the largest population analysis of DPYD variants from India.
DOI: 10.6084/m9.figshare.29956002
title: Combining simulation and machine learning in healthcare: a literature review

description: Healthcare is a complex and intricate system where multiple factors interact to affect outcomes. Accordingly, simulation is a key tool to help healthcare researchers account for this complexity and explore “what if” scenarios. Similarly, machine learning is gaining popularity in healthcare as it can also account for this complexity and offers the potential to solve problems that are intractable for traditional methods. Given that both methods have conceptually similar objectives (both predict system responses), it begs a series of questions: Can they be used together to solve healthcare challenges and, if so, how can they be incorporated? What benefits and inspiration can such a combination bring to healthcare? This paper reviews the literature to help address these questions. First, the literature is broadly categorized into six types based on how they combined simulation and machine learning. Each type is then discussed and identified research gaps are presented.
DOI: 10.6084/m9.figshare.29956002.v1
title: Combining simulation and machine learning in healthcare: a literature review

description: Healthcare is a complex and intricate system where multiple factors interact to affect outcomes. Accordingly, simulation is a key tool to help healthcare researchers account for this complexity and explore “what if” scenarios. Similarly, machine learning is gaining popularity in healthcare as it can also account for this complexity and offers the potential to solve problems that are intractable for traditional methods. Given that both methods have conceptually similar objectives (both predict system responses), it begs a series of questions: Can they be used together to solve healthcare challenges and, if so, how can they be incorporated? What benefits and inspiration can such a combination bring to healthcare? This paper reviews the literature to help address these questions. First, the literature is broadly categorized into six types based on how they combined simulation and machine learning. Each type is then discussed and identified research gaps are presented.
DOI: 10.15468/dl.555uhw
title: Occurrence Download

description: A dataset containing 50946 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratina altissima"
 ]
}

 The dataset includes 50946 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053300-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me4rv2
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globularia punctata Lapeyr.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1942 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038058-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmtgzy
title: Occurrence Download

description: A dataset containing 152494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Amelanchier stolonifera Wiegand, Amelanchier utahensis Koehne, Galearis rotundifolia (Banks ex Pursh) R.M.Bateman, Amianthium muscitoxicum (Walter) A.Gray, Ammannia auriculata Willd., Ammannia baccifera L., Ammannia robusta Heer ex Regel, Ammi majus L., Visnaga daucoides Gaertn., Calamagrostis arenaria (L.) Roth)"
 ]
}

 The dataset includes 152494 records from 1067 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006499-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2n2gd
title: Occurrence Download

description: A dataset containing 273611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ambrosia hispida Pursh, Ambrosia ilicifolia (A.Gray) W.W.Payne, Ambrosia L., Ambrosia psilostachya DC., Ambrosia pumila (Nutt.) A.Gray, Ambrosia tenuifolia Spreng., Ambrosia tomentosa Nutt., Amelanchier alnifolia (Nutt.) Nutt., Amelanchier cusickii Fernald, Amelanchier arborea (F.Michx.) Fernald)"
 ]
}

 The dataset includes 273611 records from 1441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006490-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvass7
title: Occurrence Download

description: A dataset containing 4237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pantherophis emoryi"
 ]
}

 The dataset includes 4237 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045325-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14095459
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ktg82t
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((115.906 -2.920829, 115.835646 -2.926394, 115.767022 -2.94295, 115.701816 -2.970092, 115.641632 -3.007151, 115.587951 -3.053217, 115.542094 -3.107154, 115.50519 -3.167638, 115.47815 -3.233179, 115.461639 -3.302164, 115.456068 -3.372896, 115.461575 -3.443632, 115.478027 -3.512632, 115.505022 -3.578195, 115.541896 -3.638707, 115.587743 -3.692677, 115.641434 -3.738774, 115.701648 -3.775861, 115.7669 -3.803026, 115.835582 -3.819597, 115.906 -3.825167, 115.976418 -3.819597, 116.0451 -3.803026, 116.110352 -3.775861, 116.170566 -3.738774, 116.224257 -3.692677, 116.270104 -3.638707, 116.306978 -3.578195, 116.333973 -3.512632, 116.350425 -3.443632, 116.355932 -3.372896, 116.350361 -3.302164, 116.33385 -3.233179, 116.30681 -3.167638, 116.269906 -3.107154, 116.224049 -3.053217, 116.170368 -3.007151, 116.110184 -2.970092, 116.044978 -2.94295, 115.976354 -2.926394, 115.906 -2.920829))"},{"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 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ej82-0a33
title: "Soil Moisture Spring 2008 Casselman Canada"

description: "This is a dataset of surface volumetric soil moisture collected using ThetaProbes. Measurements were taken on bare agricultural fields near Casselman, Ontario, Canada. Data collection occurred in the Spring of 2008 (April 29-May 23) prior to spring seeding."
DOI: 10.15468/dl.rjmwjx
title: Occurrence Download

description: A dataset containing 1712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nerodia cyclopion"
 ]
}

 The dataset includes 1712 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045327-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbwvt6
title: Occurrence Download

description: A dataset containing 1055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paleosuchus palpebrosus"
 ]
}

 The dataset includes 1055 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gsy96
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lanice wollebaeki",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045329-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17880785
title: UAV-based Lidar point clouds of Experimental Station Britz, Brandenburg, 2025

description: UAV-based Lidar data of a Experimental Forest Station Britz 



Date of acquisition: 16.04.2025

Condition: leaf-off for deciduous forest 

Location: Experimental Station Britz, Britz, Brandenburg, Germany 

Station DEIMS.iD: https://deims.org/8ee82a9b-5086-4547-b5aa-4064e3314762 

UAV: DJI M300 RTK with active SAPOS RTK connection 

Flight altitude above ground level: 40 m 

Line spacing: 7 m

Sensor: Yellowscan Mapper Plus 

EPSG: 25833; GCG2016 


Data products: 



High-resolution point cloud in .las format

Flight trajectory file including GPS time

Yellowscan Cloudstation strip adjustment report

Trimble Applanix POSPAC - diagnostic report 

Field photograph


Acknowledgment

Dr. Tanja Sanders

Dr. Marco Natkhin

Institute of Forest EcosystemsJohann Heinrich von Thünen InstituteFederal Research Institute for Rural Areas, Forestry and Fisheries
DOI: 10.5281/zenodo.17880786
title: UAV-based Lidar point clouds of Experimental Station Britz, Brandenburg, 2025

description: UAV-based Lidar data of a Experimental Forest Station Britz 



Date of acquisition: 16.04.2025

Condition: leaf-off for deciduous forest 

Location: Experimental Station Britz, Britz, Brandenburg, Germany 

Station DEIMS.iD: https://deims.org/8ee82a9b-5086-4547-b5aa-4064e3314762 

UAV: DJI M300 RTK with active SAPOS RTK connection 

Flight altitude above ground level: 40 m 

Line spacing: 7 m

Sensor: Yellowscan Mapper Plus 

EPSG: 25833; GCG2016 


Data products: 



High-resolution point cloud in .las format

Flight trajectory file including GPS time

Yellowscan Cloudstation strip adjustment report

Trimble Applanix POSPAC - diagnostic report 

Field photograph


Acknowledgment

Dr. Tanja Sanders

Dr. Marco Natkhin

Institute of Forest EcosystemsJohann Heinrich von Thünen InstituteFederal Research Institute for Rural Areas, Forestry and Fisheries
DOI: 10.7914/t26m-kz41
title: Aberdeen Geothermal Feasibility Pilot

description: The Aberdeen Geothermal Feasibility Pilot (AGFP) is a transdisciplinary research and infrastructure project that will quantify the geothermal potential of the Aberdeen granite pluton by drilling and instrumenting a research borehole (>500 m) and deploying ~130 passive seismic nodes. In doing this, it aims to provide the scientific evidence base for a new renewable heat source, contributing to UK Net Zero targets and commitment to climate solutions.  The AGFP consortium links the University of Aberdeen with the British Geological Survey, NHS Grampian, Aberdeen City Council, University of Leeds, Robert Gordon University, and industry partners. We will deploy ~30 3C smartsolo nodes for a 1 month period around the University of Aberdeen Campus Mid Dec 2025-  Mid January 2026, and then a network of 100 3C smartsolo nodes for a 2 month period across the city of Aberdeen January - March 2026.
DOI: 10.15468/dl.f96fzt
title: Occurrence Download

description: A dataset containing 47964 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus frenatus"
 ]
}

 The dataset includes 47964 records from 354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045330-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmwxvb
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terebella pterochaeta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045331-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqb45b
title: Occurrence Download

description: A dataset containing 265309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 39.085278",
 "DecimalLatitude is less than or equal to 44.085278",
 "DecimalLongitude is greater than or equal to 15.0",
 "DecimalLongitude is less than or equal to 20.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 265309 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045297-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwu7fw
title: Occurrence Download

description: A dataset containing 125855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo trutta"
 ]
}

 The dataset includes 125855 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045320-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbtxsy
title: Occurrence Download

description: A dataset containing 5924290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "EstablishmentMeans is introduced",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5924290 records from 464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045295-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z7n7h
title: Occurrence Download

description: A dataset containing 26663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solea solea"
 ]
}

 The dataset includes 26663 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17883554
title: Functional trait-based Multi-objective Optimization of Plant Communities for Ecological Restoration under Climate Change

description: This repository contains all MATLAB code, data, and reproducibility material used in the study:

“Functional trait–based multi-objective optimisation of plant communities under contrasting climatic scenarios” (Micalizzi et al., 2025).

The deposit includes:





Species functional trait dataset (P50, SLA, LDMC)




MATLAB App (SpeciesSelectionOptimizationApp_SUB.mlapp) implementing NSGA-II multi-objective optimisation




Scripts for convergence analysis (pairwise overlap, KDE density estimation)




Scripts for Bray–Curtis validation against field-genus composition




Full workflow outputs for both climate scenarios (Near Normal and Extra Dry)




README.md with instructions for reproducing all analyses
DOI: 10.5281/zenodo.17883553
title: Functional trait-based Multi-objective Optimization of Plant Communities for Ecological Restoration under Climate Change

description: This repository contains all MATLAB code, data, and reproducibility material used in the study:

“Functional trait–based multi-objective optimisation of plant communities under contrasting climatic scenarios” (Micalizzi et al., 2025).

The deposit includes:





Species functional trait dataset (P50, SLA, LDMC)




MATLAB App (SpeciesSelectionOptimizationApp_SUB.mlapp) implementing NSGA-II multi-objective optimisation




Scripts for convergence analysis (pairwise overlap, KDE density estimation)




Scripts for Bray–Curtis validation against field-genus composition




Full workflow outputs for both climate scenarios (Near Normal and Extra Dry)




README.md with instructions for reproducing all analyses
DOI: 10.15468/dl.pcbhs7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sabella fusca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045335-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/fpn7ig
title: Main text data : Microsphere Dataset (10 µm Beads)

description: This dataset contains raw lensfree on-chip measurements of 10 µm polystyrene microspheres acquired using a maskless and on-chip LED-array microscope with spatially-varying illumination angle calibration. The dataset includes the raw measurement matrix (.mat), and calibration parameters used to perform phase reconstruction and illumination-angle correction.
DOI: 10.5281/zenodo.17883197
title: Dataset of Developing a Rubric-Based Scale (Digital Aging) v2

description: Online supplementary material resulting from the development of a rubric-based scale to detect digital competencies for active aging.

The results of the review will be available in the related publication.
description: This dataset has been funded by the following projects: Grant TED2021-129253B-100 funded by MICIU/AEI/10.13039/501100011033 and by the European Union “NextGenerationEU/PRTR”; Grant PID2021-123552OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/EU”; and Project PROYEXCEL_00320 funded by the Department of Universities, Research and Innovation of the Junta de Andalucía (PAIDI 2020).

Este conjunto de datos ha sido financiado por los siguientes proyectos: Subvención TED2021-129253B-100 financiada por MICIU/AEI/10.13039/501100011033 y por la Unión Europea “NextGenerationEU/PRTR”; Subvención PID2021-123552OB-I00 financiada por MICIU/AEI/10.13039/501100011033 y por “ERDF/EU”; y Proyecto de I+D PROYEXCEL_00320 financiado por la Consejería de Universidades, Investigación e Innovación de la Junta de Andalucía (PAIDI 2020).
DOI: 10.34740/kaggle/dsv/14095541
title: Vietnam SARS-CoV-2 | COVID-19 Data